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You searched for subject:(Non parametric regression). Showing records 1 – 30 of 37 total matches.

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1. Shallu Sehgal. A study of growth structure and productivity of selected manufacturing industries in Haryana and Punjab state; -.

Degree: Business Economics, 2013, Shri Mata Vaishno Devi University

The present attempt has been devoted to measure the level, growth behaviour and status of inclusivity of technical efficiency and malmquist productivity based total factor… (more)

Subjects/Keywords: Tobit Regression.; DEA; Non Parametric Frontier; Catching Up; Innovations; Convergence

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APA (6th Edition):

Sehgal, S. (2013). A study of growth structure and productivity of selected manufacturing industries in Haryana and Punjab state; -. (Thesis). Shri Mata Vaishno Devi University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/8188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sehgal, Shallu. “A study of growth structure and productivity of selected manufacturing industries in Haryana and Punjab state; -.” 2013. Thesis, Shri Mata Vaishno Devi University. Accessed July 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/8188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sehgal, Shallu. “A study of growth structure and productivity of selected manufacturing industries in Haryana and Punjab state; -.” 2013. Web. 19 Jul 2019.

Vancouver:

Sehgal S. A study of growth structure and productivity of selected manufacturing industries in Haryana and Punjab state; -. [Internet] [Thesis]. Shri Mata Vaishno Devi University; 2013. [cited 2019 Jul 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/8188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sehgal S. A study of growth structure and productivity of selected manufacturing industries in Haryana and Punjab state; -. [Thesis]. Shri Mata Vaishno Devi University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/8188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queens University

2. Cho, Jaerin. Optimal design in regression and spline smoothing .

Degree: Mathematics and Statistics, 2007, Queens University

 This thesis represents an attempt to generalize the classical Theory of Optimal Design to popular regression models, based on Rational and Spline approximations. The problem… (more)

Subjects/Keywords: Non-parametric regression; Optimal design

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APA (6th Edition):

Cho, J. (2007). Optimal design in regression and spline smoothing . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cho, Jaerin. “Optimal design in regression and spline smoothing .” 2007. Thesis, Queens University. Accessed July 19, 2019. http://hdl.handle.net/1974/448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cho, Jaerin. “Optimal design in regression and spline smoothing .” 2007. Web. 19 Jul 2019.

Vancouver:

Cho J. Optimal design in regression and spline smoothing . [Internet] [Thesis]. Queens University; 2007. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/1974/448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cho J. Optimal design in regression and spline smoothing . [Thesis]. Queens University; 2007. Available from: http://hdl.handle.net/1974/448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

3. He, Yang. Three essays on regression discontinuity design and partial identification.

Degree: 2018, Iowa State University

 This dissertation consists of three chapters on regression discontinuity (RD) design and partial identification, which are widely used techniques in program evaluation. The first and… (more)

Subjects/Keywords: non-parametric; partial identification; regression discontinuity; robust test; weak identification; Economics

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APA (6th Edition):

He, Y. (2018). Three essays on regression discontinuity design and partial identification. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16375

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

He, Yang. “Three essays on regression discontinuity design and partial identification.” 2018. Thesis, Iowa State University. Accessed July 19, 2019. https://lib.dr.iastate.edu/etd/16375.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

He, Yang. “Three essays on regression discontinuity design and partial identification.” 2018. Web. 19 Jul 2019.

Vancouver:

He Y. Three essays on regression discontinuity design and partial identification. [Internet] [Thesis]. Iowa State University; 2018. [cited 2019 Jul 19]. Available from: https://lib.dr.iastate.edu/etd/16375.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

He Y. Three essays on regression discontinuity design and partial identification. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16375

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

4. De, Debkumar. Essays on Bayesian Time Series and Variable Selection.

Degree: 2014, Texas A&M University

 Estimating model parameters in dynamic model continues to be challenge. In my dissertation, we have introduced a Stochastic Approximation based parameter estimation approach under Ensemble… (more)

Subjects/Keywords: Ensemble Kalman Filter; Stochastic Approximation; Non-parametric Regression; Matrix variate regression; Variable selection

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APA (6th Edition):

De, D. (2014). Essays on Bayesian Time Series and Variable Selection. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152793

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Thesis, Texas A&M University. Accessed July 19, 2019. http://hdl.handle.net/1969.1/152793.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Web. 19 Jul 2019.

Vancouver:

De D. Essays on Bayesian Time Series and Variable Selection. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/1969.1/152793.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

De D. Essays on Bayesian Time Series and Variable Selection. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152793

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Louisville

5. Mostajabi, Farida. Regression methods for survival and multistate models.

Degree: PhD, 2011, University of Louisville

  A common research interest in medical, biological, and engineering research is determining whether certain independent variables are correlated with the survival or failure times.… (more)

Subjects/Keywords: Survival regression; MALDI-TOF mass spectrometry; Multistate models; Non-parametric regression; High-dimensional data

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APA (6th Edition):

Mostajabi, F. (2011). Regression methods for survival and multistate models. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/1014 ; https://ir.library.louisville.edu/etd/1014

Chicago Manual of Style (16th Edition):

Mostajabi, Farida. “Regression methods for survival and multistate models.” 2011. Doctoral Dissertation, University of Louisville. Accessed July 19, 2019. 10.18297/etd/1014 ; https://ir.library.louisville.edu/etd/1014.

MLA Handbook (7th Edition):

Mostajabi, Farida. “Regression methods for survival and multistate models.” 2011. Web. 19 Jul 2019.

Vancouver:

Mostajabi F. Regression methods for survival and multistate models. [Internet] [Doctoral dissertation]. University of Louisville; 2011. [cited 2019 Jul 19]. Available from: 10.18297/etd/1014 ; https://ir.library.louisville.edu/etd/1014.

Council of Science Editors:

Mostajabi F. Regression methods for survival and multistate models. [Doctoral Dissertation]. University of Louisville; 2011. Available from: 10.18297/etd/1014 ; https://ir.library.louisville.edu/etd/1014


University of Windsor

6. Li, Xuancheng. Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways.

Degree: MA, Civil and Environmental Engineering, 2014, University of Windsor

  This study applies both parametric model (Heteroscedastic Ordered Logit (HOL)) and non-parametric models (Random Forest, Classification and Regression Tree (CART), and Boosted Regression Tree… (more)

Subjects/Keywords: Boosted Regression Tree; Heteroscedastic Ordered Logit; Injury Severity; Non-parametric Model; Parametric Model; Single- and Two- vehicle Crash

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APA (6th Edition):

Li, X. (2014). Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways. (Masters Thesis). University of Windsor. Retrieved from http://scholar.uwindsor.ca/etd/5172

Chicago Manual of Style (16th Edition):

Li, Xuancheng. “Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways.” 2014. Masters Thesis, University of Windsor. Accessed July 19, 2019. http://scholar.uwindsor.ca/etd/5172.

MLA Handbook (7th Edition):

Li, Xuancheng. “Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways.” 2014. Web. 19 Jul 2019.

Vancouver:

Li X. Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways. [Internet] [Masters thesis]. University of Windsor; 2014. [cited 2019 Jul 19]. Available from: http://scholar.uwindsor.ca/etd/5172.

Council of Science Editors:

Li X. Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways. [Masters Thesis]. University of Windsor; 2014. Available from: http://scholar.uwindsor.ca/etd/5172


University of Windsor

7. Li, Xuancheng. Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways.

Degree: MA, Civil and Environmental Engineering, 2014, University of Windsor

  This study applies both parametric model (Heteroscedastic Ordered Logit (HOL)) and non-parametric models (Random Forest, Classification and Regression Tree (CART), and Boosted Regression Tree… (more)

Subjects/Keywords: Boosted Regression Tree; Heteroscedastic Ordered Logit; Injury Severity; Non-parametric Model; Parametric Model; Single- and Two- vehicle Crash

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, X. (2014). Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5172

Chicago Manual of Style (16th Edition):

Li, Xuancheng. “Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways.” 2014. Masters Thesis, University of Windsor. Accessed July 19, 2019. https://scholar.uwindsor.ca/etd/5172.

MLA Handbook (7th Edition):

Li, Xuancheng. “Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways.” 2014. Web. 19 Jul 2019.

Vancouver:

Li X. Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways. [Internet] [Masters thesis]. University of Windsor; 2014. [cited 2019 Jul 19]. Available from: https://scholar.uwindsor.ca/etd/5172.

Council of Science Editors:

Li X. Analysis of Injury Severity of Drivers Involved in Single-Vehicle andTwo-Vehicle Crashes on Ontario Highways. [Masters Thesis]. University of Windsor; 2014. Available from: https://scholar.uwindsor.ca/etd/5172


Queensland University of Technology

8. Cecchinato, Nedda. Forecasting time-varying value-at-risk.

Degree: 2010, Queensland University of Technology

 In this thesis we are interested in financial risk and the instrument we want to use is Value-at-Risk (VaR). VaR is the maximum loss over… (more)

Subjects/Keywords: value-at-risk; generalised lambda distributions; non-parametric volatility estimation; local linear regression

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APA (6th Edition):

Cecchinato, N. (2010). Forecasting time-varying value-at-risk. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/32185/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cecchinato, Nedda. “Forecasting time-varying value-at-risk.” 2010. Thesis, Queensland University of Technology. Accessed July 19, 2019. https://eprints.qut.edu.au/32185/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cecchinato, Nedda. “Forecasting time-varying value-at-risk.” 2010. Web. 19 Jul 2019.

Vancouver:

Cecchinato N. Forecasting time-varying value-at-risk. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2019 Jul 19]. Available from: https://eprints.qut.edu.au/32185/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cecchinato N. Forecasting time-varying value-at-risk. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/32185/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

9. Alrashdi, Ayed. On the MSE Performance and Optimization of Regularized Problems.

Degree: 2016, King Abdullah University of Science and Technology

 The amount of data that has been measured, transmitted/received, and stored in the recent years has dramatically increased. So, today, we are in the world… (more)

Subjects/Keywords: Non-parametric regression; Regularization; Least squares; Generalized LASSO; CGMT; Structured signals; Big data

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APA (6th Edition):

Alrashdi, A. (2016). On the MSE Performance and Optimization of Regularized Problems. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/621924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alrashdi, Ayed. “On the MSE Performance and Optimization of Regularized Problems.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed July 19, 2019. http://hdl.handle.net/10754/621924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alrashdi, Ayed. “On the MSE Performance and Optimization of Regularized Problems.” 2016. Web. 19 Jul 2019.

Vancouver:

Alrashdi A. On the MSE Performance and Optimization of Regularized Problems. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10754/621924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alrashdi A. On the MSE Performance and Optimization of Regularized Problems. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/621924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

10. Cao, Fan. Local Polynomial Kernel Smoothing with Correlated Errors.

Degree: 2017, Iowa State University

 Kernel smoothing method is one of the most widely used nonparametric regression meth- ods. The smoothing methods impose few assumptions about the shape of the… (more)

Subjects/Keywords: Correlated Errors; Kernel smoothing; Local polynomial regression; Non-parametric; Partially Linear; Statistics and Probability

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APA (6th Edition):

Cao, F. (2017). Local Polynomial Kernel Smoothing with Correlated Errors. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16915

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cao, Fan. “Local Polynomial Kernel Smoothing with Correlated Errors.” 2017. Thesis, Iowa State University. Accessed July 19, 2019. https://lib.dr.iastate.edu/etd/16915.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cao, Fan. “Local Polynomial Kernel Smoothing with Correlated Errors.” 2017. Web. 19 Jul 2019.

Vancouver:

Cao F. Local Polynomial Kernel Smoothing with Correlated Errors. [Internet] [Thesis]. Iowa State University; 2017. [cited 2019 Jul 19]. Available from: https://lib.dr.iastate.edu/etd/16915.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cao F. Local Polynomial Kernel Smoothing with Correlated Errors. [Thesis]. Iowa State University; 2017. Available from: https://lib.dr.iastate.edu/etd/16915

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Zhu, Ling. Regularization and Look-Ahead Procedures for Selection of Basis Functions from Multiple Libraries.

Degree: 2017, University of California – eScholarship, University of California

 Basis Selection from Multiple Libraries (BSML) procedure was proposed by Sklar et al. (2013) to estimate spatially inhomogeneous functions with linear combinations of basis functions… (more)

Subjects/Keywords: Statistics; Basis selection; Inflated degrees of freedom; Look-ahead; Non-parametric regression; Spatial adaptivity

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APA (6th Edition):

Zhu, L. (2017). Regularization and Look-Ahead Procedures for Selection of Basis Functions from Multiple Libraries. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/6ss3v7cb

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhu, Ling. “Regularization and Look-Ahead Procedures for Selection of Basis Functions from Multiple Libraries.” 2017. Thesis, University of California – eScholarship, University of California. Accessed July 19, 2019. http://www.escholarship.org/uc/item/6ss3v7cb.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhu, Ling. “Regularization and Look-Ahead Procedures for Selection of Basis Functions from Multiple Libraries.” 2017. Web. 19 Jul 2019.

Vancouver:

Zhu L. Regularization and Look-Ahead Procedures for Selection of Basis Functions from Multiple Libraries. [Internet] [Thesis]. University of California – eScholarship, University of California; 2017. [cited 2019 Jul 19]. Available from: http://www.escholarship.org/uc/item/6ss3v7cb.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhu L. Regularization and Look-Ahead Procedures for Selection of Basis Functions from Multiple Libraries. [Thesis]. University of California – eScholarship, University of California; 2017. Available from: http://www.escholarship.org/uc/item/6ss3v7cb

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Βαρελάς, Γεώργιος. Μέθοδοι μη παραμετρικής παλινδρόμησης.

Degree: 2011, University of Patras

Ένα πράγμα που θέτει τους στατιστικολόγους πέρα από άλλους επιστήμονες είναι σχετική άγνοια του κοινού γενικά σχετικά με το τι είναι στην πραγματικότητα το πεδίο… (more)

Subjects/Keywords: Μη παραμετρική παλινδρόμηση; Εκτίμηση πυρήνα; Μέθοδοι εξομάλυνσης; 519.5; Non parametric regression; Kernel methods; Splines regression; Nearest neighbor

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APA (6th Edition):

Βαρελάς, . (2011). Μέθοδοι μη παραμετρικής παλινδρόμησης. (Masters Thesis). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/4465

Chicago Manual of Style (16th Edition):

Βαρελάς, Γεώργιος. “Μέθοδοι μη παραμετρικής παλινδρόμησης.” 2011. Masters Thesis, University of Patras. Accessed July 19, 2019. http://nemertes.lis.upatras.gr/jspui/handle/10889/4465.

MLA Handbook (7th Edition):

Βαρελάς, Γεώργιος. “Μέθοδοι μη παραμετρικής παλινδρόμησης.” 2011. Web. 19 Jul 2019.

Vancouver:

Βαρελάς . Μέθοδοι μη παραμετρικής παλινδρόμησης. [Internet] [Masters thesis]. University of Patras; 2011. [cited 2019 Jul 19]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/4465.

Council of Science Editors:

Βαρελάς . Μέθοδοι μη παραμετρικής παλινδρόμησης. [Masters Thesis]. University of Patras; 2011. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/4465


University of Technology, Sydney

13. Bargi, Ava. Bayesian non-parametric models for time segmentation and regression.

Degree: 2015, University of Technology, Sydney

Non-parametric Bayesian modelling offers a principled way for avoiding model selection such as pre-defining the number of modes in a mixture model or the optimal… (more)

Subjects/Keywords: Non-parametric Bayesian modelling.; Hierarchical Dirichlet process (HDP).; Indian buffet process (IBP).; ‘AdOn HDP-HMM’.; Non-parametric conditional factor regression (NCFR).; Computational efficiency.

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APA (6th Edition):

Bargi, A. (2015). Bayesian non-parametric models for time segmentation and regression. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/43387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bargi, Ava. “Bayesian non-parametric models for time segmentation and regression.” 2015. Thesis, University of Technology, Sydney. Accessed July 19, 2019. http://hdl.handle.net/10453/43387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bargi, Ava. “Bayesian non-parametric models for time segmentation and regression.” 2015. Web. 19 Jul 2019.

Vancouver:

Bargi A. Bayesian non-parametric models for time segmentation and regression. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10453/43387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bargi A. Bayesian non-parametric models for time segmentation and regression. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/43387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Temple University

14. Das, Debasish. Bayesian Sparse Regression with Application to Data-driven Understanding of Climate.

Degree: PhD, 2015, Temple University

Computer and Information Science

Sparse regressions based on constraining the L1-norm of the coefficients became popular due to their ability to handle high dimensional data… (more)

Subjects/Keywords: Computer science; Climate change;

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APA (6th Edition):

Das, D. (2015). Bayesian Sparse Regression with Application to Data-driven Understanding of Climate. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,313587

Chicago Manual of Style (16th Edition):

Das, Debasish. “Bayesian Sparse Regression with Application to Data-driven Understanding of Climate.” 2015. Doctoral Dissertation, Temple University. Accessed July 19, 2019. http://digital.library.temple.edu/u?/p245801coll10,313587.

MLA Handbook (7th Edition):

Das, Debasish. “Bayesian Sparse Regression with Application to Data-driven Understanding of Climate.” 2015. Web. 19 Jul 2019.

Vancouver:

Das D. Bayesian Sparse Regression with Application to Data-driven Understanding of Climate. [Internet] [Doctoral dissertation]. Temple University; 2015. [cited 2019 Jul 19]. Available from: http://digital.library.temple.edu/u?/p245801coll10,313587.

Council of Science Editors:

Das D. Bayesian Sparse Regression with Application to Data-driven Understanding of Climate. [Doctoral Dissertation]. Temple University; 2015. Available from: http://digital.library.temple.edu/u?/p245801coll10,313587


Duke University

15. Xu, Jieren. Adaptive Data Representation and Analysis .

Degree: 2018, Duke University

  This dissertation introduces and analyzes algorithms that aim to adaptively handle complex datasets arising in the real-world applications. It contains two major parts. The… (more)

Subjects/Keywords: Applied mathematics; Medical imaging; adaptive data analysis; mode decomposition; non-parametric regression; signal processing; statistical learning; structural connectivity analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, J. (2018). Adaptive Data Representation and Analysis . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/17503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Jieren. “Adaptive Data Representation and Analysis .” 2018. Thesis, Duke University. Accessed July 19, 2019. http://hdl.handle.net/10161/17503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Jieren. “Adaptive Data Representation and Analysis .” 2018. Web. 19 Jul 2019.

Vancouver:

Xu J. Adaptive Data Representation and Analysis . [Internet] [Thesis]. Duke University; 2018. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10161/17503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu J. Adaptive Data Representation and Analysis . [Thesis]. Duke University; 2018. Available from: http://hdl.handle.net/10161/17503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Rochester

16. Liu, Bilan. Spatial regression analysis of diffusion tensor imaging for longitudinal studies.

Degree: PhD, 2016, University of Rochester

 Diffusion Tensor Imaging (DTI) enables accurate description of the degree and direction of water dynamics in biological tissues, which provides detailed information about white matter… (more)

Subjects/Keywords: Diffusion tensor imaging; General linear model; Non-parametric resampling; Quality control; Spatial regression; Subject-specific longitudinal study

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APA (6th Edition):

Liu, B. (2016). Spatial regression analysis of diffusion tensor imaging for longitudinal studies. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30834

Chicago Manual of Style (16th Edition):

Liu, Bilan. “Spatial regression analysis of diffusion tensor imaging for longitudinal studies.” 2016. Doctoral Dissertation, University of Rochester. Accessed July 19, 2019. http://hdl.handle.net/1802/30834.

MLA Handbook (7th Edition):

Liu, Bilan. “Spatial regression analysis of diffusion tensor imaging for longitudinal studies.” 2016. Web. 19 Jul 2019.

Vancouver:

Liu B. Spatial regression analysis of diffusion tensor imaging for longitudinal studies. [Internet] [Doctoral dissertation]. University of Rochester; 2016. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/1802/30834.

Council of Science Editors:

Liu B. Spatial regression analysis of diffusion tensor imaging for longitudinal studies. [Doctoral Dissertation]. University of Rochester; 2016. Available from: http://hdl.handle.net/1802/30834

17. Fontaine, Charles. Utilisation de copules paramétriques en présence de données observationnelles : cadre théorique et modélisations. : Use of parametric copulas with observational data : theoretical framework and modelizations.

Degree: Docteur es, Biostatistique, 2016, Montpellier

Les études observationnelles (non-randomisées) sont principalement constituées de données ayant des particularités qui sont en fait contraignantes dans un cadre statistique classique. En effet, dans… (more)

Subjects/Keywords: Copules paramétriques; Analyse coût-Efficacité; Score de propension; Régression semi-Paramétrique; Données non-Randomisées; Parametric copulas; Cost-Effectiveness analysis; Propensity score; Semi-Parametric regression; Not-Randomized data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fontaine, C. (2016). Utilisation de copules paramétriques en présence de données observationnelles : cadre théorique et modélisations. : Use of parametric copulas with observational data : theoretical framework and modelizations. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2016MONTT009

Chicago Manual of Style (16th Edition):

Fontaine, Charles. “Utilisation de copules paramétriques en présence de données observationnelles : cadre théorique et modélisations. : Use of parametric copulas with observational data : theoretical framework and modelizations.” 2016. Doctoral Dissertation, Montpellier. Accessed July 19, 2019. http://www.theses.fr/2016MONTT009.

MLA Handbook (7th Edition):

Fontaine, Charles. “Utilisation de copules paramétriques en présence de données observationnelles : cadre théorique et modélisations. : Use of parametric copulas with observational data : theoretical framework and modelizations.” 2016. Web. 19 Jul 2019.

Vancouver:

Fontaine C. Utilisation de copules paramétriques en présence de données observationnelles : cadre théorique et modélisations. : Use of parametric copulas with observational data : theoretical framework and modelizations. [Internet] [Doctoral dissertation]. Montpellier; 2016. [cited 2019 Jul 19]. Available from: http://www.theses.fr/2016MONTT009.

Council of Science Editors:

Fontaine C. Utilisation de copules paramétriques en présence de données observationnelles : cadre théorique et modélisations. : Use of parametric copulas with observational data : theoretical framework and modelizations. [Doctoral Dissertation]. Montpellier; 2016. Available from: http://www.theses.fr/2016MONTT009


Université de Grenoble

18. Touzani, Samir. Méthodes de surface de réponse basées sur la décomposition de la variance fonctionnelle et application à l'analyse de sensibilité : Response surface methods based on analysis of variance expansion for sensitivity analysis.

Degree: Docteur es, Mathématiques appliquées, 2011, Université de Grenoble

L'objectif de cette thèse est l'investigation de nouvelles méthodes de surface de réponse afin de réaliser l'analyse de sensibilité de modèles numériques complexes et coûteux… (more)

Subjects/Keywords: Surfaces de réponse; ANOVA; Ondelettes; Régression non-paramétriques; Nonnegative garrote; Seuillage; Response surface; ANOVA; Wavelets; Non-parametric regression; Nonnegative garrote; Thresholding; 510

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Touzani, S. (2011). Méthodes de surface de réponse basées sur la décomposition de la variance fonctionnelle et application à l'analyse de sensibilité : Response surface methods based on analysis of variance expansion for sensitivity analysis. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2011GRENM013

Chicago Manual of Style (16th Edition):

Touzani, Samir. “Méthodes de surface de réponse basées sur la décomposition de la variance fonctionnelle et application à l'analyse de sensibilité : Response surface methods based on analysis of variance expansion for sensitivity analysis.” 2011. Doctoral Dissertation, Université de Grenoble. Accessed July 19, 2019. http://www.theses.fr/2011GRENM013.

MLA Handbook (7th Edition):

Touzani, Samir. “Méthodes de surface de réponse basées sur la décomposition de la variance fonctionnelle et application à l'analyse de sensibilité : Response surface methods based on analysis of variance expansion for sensitivity analysis.” 2011. Web. 19 Jul 2019.

Vancouver:

Touzani S. Méthodes de surface de réponse basées sur la décomposition de la variance fonctionnelle et application à l'analyse de sensibilité : Response surface methods based on analysis of variance expansion for sensitivity analysis. [Internet] [Doctoral dissertation]. Université de Grenoble; 2011. [cited 2019 Jul 19]. Available from: http://www.theses.fr/2011GRENM013.

Council of Science Editors:

Touzani S. Méthodes de surface de réponse basées sur la décomposition de la variance fonctionnelle et application à l'analyse de sensibilité : Response surface methods based on analysis of variance expansion for sensitivity analysis. [Doctoral Dissertation]. Université de Grenoble; 2011. Available from: http://www.theses.fr/2011GRENM013

19. Liu, Gang. Rare events simulation by shaking transformations : Non-intrusive resampler for dynamic programming : Simulation des événements rares par transformations de shaking : Rééchantillonneur non-intrusif pour la programmation dynamique.

Degree: Docteur es, Mathématiques appliquées, 2016, Paris Saclay

Cette thèse contient deux parties: la simulation des événements rares et le rééchantillonnage non-intrusif stratifié pour la programmation dynamique. La première partie consiste à quantifier… (more)

Subjects/Keywords: Événements rares; Splitting; Chaîne de Markov; Programmation dynamique; Régression non-Paramétrique; Stratification; Rare events; Splitting; Markov chain; Dynamic programming; Non-Parametric regression; Stratification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, G. (2016). Rare events simulation by shaking transformations : Non-intrusive resampler for dynamic programming : Simulation des événements rares par transformations de shaking : Rééchantillonneur non-intrusif pour la programmation dynamique. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2016SACLX043

Chicago Manual of Style (16th Edition):

Liu, Gang. “Rare events simulation by shaking transformations : Non-intrusive resampler for dynamic programming : Simulation des événements rares par transformations de shaking : Rééchantillonneur non-intrusif pour la programmation dynamique.” 2016. Doctoral Dissertation, Paris Saclay. Accessed July 19, 2019. http://www.theses.fr/2016SACLX043.

MLA Handbook (7th Edition):

Liu, Gang. “Rare events simulation by shaking transformations : Non-intrusive resampler for dynamic programming : Simulation des événements rares par transformations de shaking : Rééchantillonneur non-intrusif pour la programmation dynamique.” 2016. Web. 19 Jul 2019.

Vancouver:

Liu G. Rare events simulation by shaking transformations : Non-intrusive resampler for dynamic programming : Simulation des événements rares par transformations de shaking : Rééchantillonneur non-intrusif pour la programmation dynamique. [Internet] [Doctoral dissertation]. Paris Saclay; 2016. [cited 2019 Jul 19]. Available from: http://www.theses.fr/2016SACLX043.

Council of Science Editors:

Liu G. Rare events simulation by shaking transformations : Non-intrusive resampler for dynamic programming : Simulation des événements rares par transformations de shaking : Rééchantillonneur non-intrusif pour la programmation dynamique. [Doctoral Dissertation]. Paris Saclay; 2016. Available from: http://www.theses.fr/2016SACLX043


University of South Florida

20. Mostafa, Abdelelah M. Regression approach to software reliability models.

Degree: 2006, University of South Florida

 Many software reliability growth models have beenanalyzed for measuring the growth of software reliability. In this dissertation, regression methods are explored to study software reliability… (more)

Subjects/Keywords: Linear regression; Non-homogenous poisson process; Power law process; Non-parametric; Monotone regression; Rank regression; American Studies; Arts and Humanities

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APA (6th Edition):

Mostafa, A. M. (2006). Regression approach to software reliability models. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/2637

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mostafa, Abdelelah M. “Regression approach to software reliability models.” 2006. Thesis, University of South Florida. Accessed July 19, 2019. https://scholarcommons.usf.edu/etd/2637.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mostafa, Abdelelah M. “Regression approach to software reliability models.” 2006. Web. 19 Jul 2019.

Vancouver:

Mostafa AM. Regression approach to software reliability models. [Internet] [Thesis]. University of South Florida; 2006. [cited 2019 Jul 19]. Available from: https://scholarcommons.usf.edu/etd/2637.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mostafa AM. Regression approach to software reliability models. [Thesis]. University of South Florida; 2006. Available from: https://scholarcommons.usf.edu/etd/2637

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Southern California

21. Rajati, Mohammmad Reza. Evaluation of sequential hypothesis tests for cross validation of learning models using big data.

Degree: MS, Statistics, 2015, University of Southern California

 In this thesis, we examine the application of various sequential hypothesis tests to fast cross validation for model selection. Fast cross validation can be utilized… (more)

Subjects/Keywords: sequential hypothesis testing; cross validation; big data; learning; classification; regression; hyper parameter selection; Cochran test; Friedman test; F test; statistics; non-parametric tests

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APA (6th Edition):

Rajati, M. R. (2015). Evaluation of sequential hypothesis tests for cross validation of learning models using big data. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/587159/rec/2535

Chicago Manual of Style (16th Edition):

Rajati, Mohammmad Reza. “Evaluation of sequential hypothesis tests for cross validation of learning models using big data.” 2015. Masters Thesis, University of Southern California. Accessed July 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/587159/rec/2535.

MLA Handbook (7th Edition):

Rajati, Mohammmad Reza. “Evaluation of sequential hypothesis tests for cross validation of learning models using big data.” 2015. Web. 19 Jul 2019.

Vancouver:

Rajati MR. Evaluation of sequential hypothesis tests for cross validation of learning models using big data. [Internet] [Masters thesis]. University of Southern California; 2015. [cited 2019 Jul 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/587159/rec/2535.

Council of Science Editors:

Rajati MR. Evaluation of sequential hypothesis tests for cross validation of learning models using big data. [Masters Thesis]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/587159/rec/2535


Brigham Young University

22. Balzotti, Christopher Stephen. Multidisciplinary Assessment and Documentation of Past and Present Human Impacts on the Neotropical Forests of Petén, Guatemala.

Degree: MS, 2010, Brigham Young University

  Tropical forests provide important habitat for a tremendous diversity of plant and animal species. However, limitations in measuring and monitoring the structure and function… (more)

Subjects/Keywords: Tikal; Guatemala; classic Maya; stable carbon isotopes; AIRSAR; landsat; ancient agriculture; hyperniche; non-parametric multiplicative regression; model; modeling; predictive modeling; Animal Sciences

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APA (6th Edition):

Balzotti, C. S. (2010). Multidisciplinary Assessment and Documentation of Past and Present Human Impacts on the Neotropical Forests of Petén, Guatemala. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3128&context=etd

Chicago Manual of Style (16th Edition):

Balzotti, Christopher Stephen. “Multidisciplinary Assessment and Documentation of Past and Present Human Impacts on the Neotropical Forests of Petén, Guatemala.” 2010. Masters Thesis, Brigham Young University. Accessed July 19, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3128&context=etd.

MLA Handbook (7th Edition):

Balzotti, Christopher Stephen. “Multidisciplinary Assessment and Documentation of Past and Present Human Impacts on the Neotropical Forests of Petén, Guatemala.” 2010. Web. 19 Jul 2019.

Vancouver:

Balzotti CS. Multidisciplinary Assessment and Documentation of Past and Present Human Impacts on the Neotropical Forests of Petén, Guatemala. [Internet] [Masters thesis]. Brigham Young University; 2010. [cited 2019 Jul 19]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3128&context=etd.

Council of Science Editors:

Balzotti CS. Multidisciplinary Assessment and Documentation of Past and Present Human Impacts on the Neotropical Forests of Petén, Guatemala. [Masters Thesis]. Brigham Young University; 2010. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3128&context=etd


University of Technology, Sydney

23. Oduro, Seth Daniel. Development of hybrid algorithms for vehicular emissions modelling and prediction.

Degree: 2016, University of Technology, Sydney

 The overwhelming accumulation of traffic volumes and relentless changes in travel-related characteristics significantly increase vehicular emissions, and hence, seriously affect urban air quality. It is… (more)

Subjects/Keywords: Vehicular emissions.; Urban air quality.; Rate models for predicting vehicular emissions.; Multivariate Adaptive Regression Splines (MARS).; Boosting Multivariate Adaptive Regression Splines (BMARS).; Artificial Neural Networks (ANNs).; Non-parametric Classification and Regression Trees (CART).; CART-BMARS hybrid methodology.

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APA (6th Edition):

Oduro, S. D. (2016). Development of hybrid algorithms for vehicular emissions modelling and prediction. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/62169

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Oduro, Seth Daniel. “Development of hybrid algorithms for vehicular emissions modelling and prediction.” 2016. Thesis, University of Technology, Sydney. Accessed July 19, 2019. http://hdl.handle.net/10453/62169.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Oduro, Seth Daniel. “Development of hybrid algorithms for vehicular emissions modelling and prediction.” 2016. Web. 19 Jul 2019.

Vancouver:

Oduro SD. Development of hybrid algorithms for vehicular emissions modelling and prediction. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10453/62169.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Oduro SD. Development of hybrid algorithms for vehicular emissions modelling and prediction. [Thesis]. University of Technology, Sydney; 2016. Available from: http://hdl.handle.net/10453/62169

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Natarajan, Balasubramaniam. Asymptotic properties of non-parametric regression with Beta kernels.

Degree: PhD, Department of Statistics, 2018, Kansas State University

 Kernel based non-parametric regression is a popular statistical tool to identify the relationship between response and predictor variables when standard parametric regression models are not… (more)

Subjects/Keywords: Non-parametric regression; Beta kernel regression; Large sample properties; Local linear regression with Beta kernels

…restrictive and one has to rely on a non parametric smoothing approach. As non parametric regression… …1.1 Non-Parametric Regression Nonparametric regression is studied in both fixed design and… …the predictor variables. In contrast, a non parametric approach does not make any prior… …regression function. 1 In many applications, a preselected parametric model might be too… …x29;. There are several approaches to approximating the regression function m in the non… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Natarajan, B. (2018). Asymptotic properties of non-parametric regression with Beta kernels. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/38554

Chicago Manual of Style (16th Edition):

Natarajan, Balasubramaniam. “Asymptotic properties of non-parametric regression with Beta kernels.” 2018. Doctoral Dissertation, Kansas State University. Accessed July 19, 2019. http://hdl.handle.net/2097/38554.

MLA Handbook (7th Edition):

Natarajan, Balasubramaniam. “Asymptotic properties of non-parametric regression with Beta kernels.” 2018. Web. 19 Jul 2019.

Vancouver:

Natarajan B. Asymptotic properties of non-parametric regression with Beta kernels. [Internet] [Doctoral dissertation]. Kansas State University; 2018. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/2097/38554.

Council of Science Editors:

Natarajan B. Asymptotic properties of non-parametric regression with Beta kernels. [Doctoral Dissertation]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/38554

25. Porto, Rogério de Faria. Regressão não-paramétrica com erros correlacionados via ondaletas.

Degree: PhD, Estatística, 2008, University of São Paulo

Nesta tese, são obtidas taxas de convergência a zero, do risco de estimação obtido com regressão não-paramétrica via ondaletas, quando há erros correlacionados. Quatro métodos… (more)

Subjects/Keywords: autocorrelação; autocorrelation; design-adapted wavelets; erros em séries temporais; estimação semi-paramética; lifting; lifting; non-parametric regression; ondaletas; ondaletas adaptativas; ondaletas deformadas; regressão não-paramétrica; semi-parametric estimation; time-series errors; warped wavelets; wavelets

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APA (6th Edition):

Porto, R. d. F. (2008). Regressão não-paramétrica com erros correlacionados via ondaletas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27102008-101711/ ;

Chicago Manual of Style (16th Edition):

Porto, Rogério de Faria. “Regressão não-paramétrica com erros correlacionados via ondaletas.” 2008. Doctoral Dissertation, University of São Paulo. Accessed July 19, 2019. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27102008-101711/ ;.

MLA Handbook (7th Edition):

Porto, Rogério de Faria. “Regressão não-paramétrica com erros correlacionados via ondaletas.” 2008. Web. 19 Jul 2019.

Vancouver:

Porto RdF. Regressão não-paramétrica com erros correlacionados via ondaletas. [Internet] [Doctoral dissertation]. University of São Paulo; 2008. [cited 2019 Jul 19]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27102008-101711/ ;.

Council of Science Editors:

Porto RdF. Regressão não-paramétrica com erros correlacionados via ondaletas. [Doctoral Dissertation]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27102008-101711/ ;

26. Chau, Thi Tuyet Trang. Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires.

Degree: Docteur es, Mathématiques et leurs interactions, 2019, Rennes 1

 Le volume des données disponibles permettant de décrire l’environnement, en particulier l’atmosphère et les océans, s’est accru à un rythme exponentiel. Ces données regroupent des… (more)

Subjects/Keywords: Estimation non-Paramétrique; Les algorithmes EM; Régression locale; Conditional particle filtering; Lissage; Modèles statistiques spatio- temporels non-Linéaires; Non-Parametric estimation; EM algorithms; Local regression; Conditional particle filtering; Smoothing; Nonlinear state-Space models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chau, T. T. T. (2019). Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2019REN1S010

Chicago Manual of Style (16th Edition):

Chau, Thi Tuyet Trang. “Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires.” 2019. Doctoral Dissertation, Rennes 1. Accessed July 19, 2019. http://www.theses.fr/2019REN1S010.

MLA Handbook (7th Edition):

Chau, Thi Tuyet Trang. “Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires.” 2019. Web. 19 Jul 2019.

Vancouver:

Chau TTT. Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires. [Internet] [Doctoral dissertation]. Rennes 1; 2019. [cited 2019 Jul 19]. Available from: http://www.theses.fr/2019REN1S010.

Council of Science Editors:

Chau TTT. Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models : Méthodologies non-paramétriques pour la reconstruction et l’estimation dans les modèles d’états non linéaires. [Doctoral Dissertation]. Rennes 1; 2019. Available from: http://www.theses.fr/2019REN1S010


Texas Medical Center

27. Hennessey, Violeta G. A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES.

Degree: PhD, 2010, Texas Medical Center

 The considerable search for synergistic agents in cancer research is motivated by the therapeutic benefits achieved by combining anti-cancer agents. Synergistic agents make it possible… (more)

Subjects/Keywords: Combination Index method; Drug interaction; Emax model; Interaction index; Median-effect principle; Loewe additivity model; Non-parametric regression methods; Monotone regression splines; Biometry; Biostatistics; Other Pharmacy and Pharmaceutical Sciences; Statistical Models

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APA (6th Edition):

Hennessey, V. G. (2010). A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES. (Doctoral Dissertation). Texas Medical Center. Retrieved from http://digitalcommons.library.tmc.edu/utgsbs_dissertations/55

Chicago Manual of Style (16th Edition):

Hennessey, Violeta G. “A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES.” 2010. Doctoral Dissertation, Texas Medical Center. Accessed July 19, 2019. http://digitalcommons.library.tmc.edu/utgsbs_dissertations/55.

MLA Handbook (7th Edition):

Hennessey, Violeta G. “A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES.” 2010. Web. 19 Jul 2019.

Vancouver:

Hennessey VG. A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES. [Internet] [Doctoral dissertation]. Texas Medical Center; 2010. [cited 2019 Jul 19]. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/55.

Council of Science Editors:

Hennessey VG. A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES. [Doctoral Dissertation]. Texas Medical Center; 2010. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/55

28. CAO YI. Dealing with missing values in DNA microarray.

Degree: 2008, National University of Singapore

Subjects/Keywords: microarray data mining; missing value imputation; non-parametric regression; principal component analysis; robust regression; clustering analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

YI, C. (2008). Dealing with missing values in DNA microarray. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/19224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

YI, CAO. “Dealing with missing values in DNA microarray.” 2008. Thesis, National University of Singapore. Accessed July 19, 2019. http://scholarbank.nus.edu.sg/handle/10635/19224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

YI, CAO. “Dealing with missing values in DNA microarray.” 2008. Web. 19 Jul 2019.

Vancouver:

YI C. Dealing with missing values in DNA microarray. [Internet] [Thesis]. National University of Singapore; 2008. [cited 2019 Jul 19]. Available from: http://scholarbank.nus.edu.sg/handle/10635/19224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

YI C. Dealing with missing values in DNA microarray. [Thesis]. National University of Singapore; 2008. Available from: http://scholarbank.nus.edu.sg/handle/10635/19224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

29. Knefati, Muhammad Anas. Estimation non-paramétrique du quantile conditionnel et apprentissage semi-paramétrique : applications en assurance et actuariat : Nonparametric estimation of conditional quantile and semi-parametric learning : applications on insurance and actuarial data.

Degree: Docteur es, Mathématiques et applications, 2015, Poitiers

La thèse se compose de deux parties : une partie consacrée à l'estimation des quantiles conditionnels et une autre à l'apprentissage supervisé. La partie "Estimation… (more)

Subjects/Keywords: Régression non-Paramétrique; Quantile; Estimation non-Paramétrique du quantile conditionnel; Paramètre de lissage; Apprentissage statistique; Classification supervisée; Modèles à score unique; Mean regression; Quantile; Nonparametric estimation of conditional quantile; Smoothing parameter; Statistical learning; Supervised classification; Semi parametric single index models; 519.54

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Knefati, M. A. (2015). Estimation non-paramétrique du quantile conditionnel et apprentissage semi-paramétrique : applications en assurance et actuariat : Nonparametric estimation of conditional quantile and semi-parametric learning : applications on insurance and actuarial data. (Doctoral Dissertation). Poitiers. Retrieved from http://www.theses.fr/2015POIT2280

Chicago Manual of Style (16th Edition):

Knefati, Muhammad Anas. “Estimation non-paramétrique du quantile conditionnel et apprentissage semi-paramétrique : applications en assurance et actuariat : Nonparametric estimation of conditional quantile and semi-parametric learning : applications on insurance and actuarial data.” 2015. Doctoral Dissertation, Poitiers. Accessed July 19, 2019. http://www.theses.fr/2015POIT2280.

MLA Handbook (7th Edition):

Knefati, Muhammad Anas. “Estimation non-paramétrique du quantile conditionnel et apprentissage semi-paramétrique : applications en assurance et actuariat : Nonparametric estimation of conditional quantile and semi-parametric learning : applications on insurance and actuarial data.” 2015. Web. 19 Jul 2019.

Vancouver:

Knefati MA. Estimation non-paramétrique du quantile conditionnel et apprentissage semi-paramétrique : applications en assurance et actuariat : Nonparametric estimation of conditional quantile and semi-parametric learning : applications on insurance and actuarial data. [Internet] [Doctoral dissertation]. Poitiers; 2015. [cited 2019 Jul 19]. Available from: http://www.theses.fr/2015POIT2280.

Council of Science Editors:

Knefati MA. Estimation non-paramétrique du quantile conditionnel et apprentissage semi-paramétrique : applications en assurance et actuariat : Nonparametric estimation of conditional quantile and semi-parametric learning : applications on insurance and actuarial data. [Doctoral Dissertation]. Poitiers; 2015. Available from: http://www.theses.fr/2015POIT2280


Universiteit Utrecht

30. Artiles Martínez, L.M. Adaptive minimax estimation in classes of smooth functions.

Degree: 2001, Universiteit Utrecht

 In this thesis we study adaptive methods of estimation for two particular types of statistical problems: regression and density estimation. For all these problems the… (more)

Subjects/Keywords: Wiskunde en Informatica; non-parametric statistics; minimax estimation; adaptive estimation; Fourier transformations; Chebyshev polynomials; legendre polynomials; regression design

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Artiles Martínez, L. M. (2001). Adaptive minimax estimation in classes of smooth functions. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/866

Chicago Manual of Style (16th Edition):

Artiles Martínez, L M. “Adaptive minimax estimation in classes of smooth functions.” 2001. Doctoral Dissertation, Universiteit Utrecht. Accessed July 19, 2019. http://dspace.library.uu.nl:8080/handle/1874/866.

MLA Handbook (7th Edition):

Artiles Martínez, L M. “Adaptive minimax estimation in classes of smooth functions.” 2001. Web. 19 Jul 2019.

Vancouver:

Artiles Martínez LM. Adaptive minimax estimation in classes of smooth functions. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2001. [cited 2019 Jul 19]. Available from: http://dspace.library.uu.nl:8080/handle/1874/866.

Council of Science Editors:

Artiles Martínez LM. Adaptive minimax estimation in classes of smooth functions. [Doctoral Dissertation]. Universiteit Utrecht; 2001. Available from: http://dspace.library.uu.nl:8080/handle/1874/866

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