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You searched for subject:(local linear regression). Showing records 1 – 22 of 22 total matches.

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Penn State University

1. Feng, Yijia. Robust Nonparametric Function Estimation with Serially Correlated Data.

Degree: PhD, Statistics, 2010, Penn State University

 Nonparametric function estimation via local polynomial regression has been widely studied in the literature, especially in the past two decades. In practice, we confront two… (more)

Subjects/Keywords: autoregressive process; local linear regression; robust regression

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APA (6th Edition):

Feng, Y. (2010). Robust Nonparametric Function Estimation with Serially Correlated Data. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11391

Chicago Manual of Style (16th Edition):

Feng, Yijia. “Robust Nonparametric Function Estimation with Serially Correlated Data.” 2010. Doctoral Dissertation, Penn State University. Accessed July 23, 2019. https://etda.libraries.psu.edu/catalog/11391.

MLA Handbook (7th Edition):

Feng, Yijia. “Robust Nonparametric Function Estimation with Serially Correlated Data.” 2010. Web. 23 Jul 2019.

Vancouver:

Feng Y. Robust Nonparametric Function Estimation with Serially Correlated Data. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Jul 23]. Available from: https://etda.libraries.psu.edu/catalog/11391.

Council of Science Editors:

Feng Y. Robust Nonparametric Function Estimation with Serially Correlated Data. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/11391


Penn State University

2. Zhang, Ying. New Models For Conditional Covariance Matrix.

Degree: PhD, Statistics, 2013, Penn State University

 This thesis presents new models for conditional covariance matrix. The proposed non- parametric covariance regression model parameterizes the conditional covariance matrix of a multivariate response… (more)

Subjects/Keywords: covariance estimation; smoothing spline; Cholesky decomposition; local linear regression; semi-parametric regression

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APA (6th Edition):

Zhang, Y. (2013). New Models For Conditional Covariance Matrix. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/18179

Chicago Manual of Style (16th Edition):

Zhang, Ying. “New Models For Conditional Covariance Matrix.” 2013. Doctoral Dissertation, Penn State University. Accessed July 23, 2019. https://etda.libraries.psu.edu/catalog/18179.

MLA Handbook (7th Edition):

Zhang, Ying. “New Models For Conditional Covariance Matrix.” 2013. Web. 23 Jul 2019.

Vancouver:

Zhang Y. New Models For Conditional Covariance Matrix. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Jul 23]. Available from: https://etda.libraries.psu.edu/catalog/18179.

Council of Science Editors:

Zhang Y. New Models For Conditional Covariance Matrix. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/18179


Texas State University – San Marcos

3. Connolly, Matthew H. Spatiotemporal Drivers of Municipal Water Consumption.

Degree: PhD, Geographic Information Science, 2013, Texas State University – San Marcos

 This study analyzed the individual and joint influences of social, urban, and physical landscape characteristics on patterns of municipal water consumption at the county scale… (more)

Subjects/Keywords: GIS; Local Indicators of Spatial Association; Multiple Linear Regression; Water Resources

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APA (6th Edition):

Connolly, M. H. (2013). Spatiotemporal Drivers of Municipal Water Consumption. (Doctoral Dissertation). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6266

Chicago Manual of Style (16th Edition):

Connolly, Matthew H. “Spatiotemporal Drivers of Municipal Water Consumption.” 2013. Doctoral Dissertation, Texas State University – San Marcos. Accessed July 23, 2019. https://digital.library.txstate.edu/handle/10877/6266.

MLA Handbook (7th Edition):

Connolly, Matthew H. “Spatiotemporal Drivers of Municipal Water Consumption.” 2013. Web. 23 Jul 2019.

Vancouver:

Connolly MH. Spatiotemporal Drivers of Municipal Water Consumption. [Internet] [Doctoral dissertation]. Texas State University – San Marcos; 2013. [cited 2019 Jul 23]. Available from: https://digital.library.txstate.edu/handle/10877/6266.

Council of Science Editors:

Connolly MH. Spatiotemporal Drivers of Municipal Water Consumption. [Doctoral Dissertation]. Texas State University – San Marcos; 2013. Available from: https://digital.library.txstate.edu/handle/10877/6266


University of Texas – Austin

4. Tandon, Rashish. On structured and distributed learning.

Degree: Computer Sciences, 2018, University of Texas – Austin

 With the growth in size and complexity of data, methods exploiting low-dimensional structure, as well as distributed methods, have been playing an ever important role… (more)

Subjects/Keywords: Machine learning; Graphical models; Ising models; Neighborhood selection; Regression; Linear regression; Kernel ridge regression; Local learning; Stragglers; Coding theory; Gradient coding

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APA (6th Edition):

Tandon, R. (2018). On structured and distributed learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68175

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):

Tandon, Rashish. “On structured and distributed learning.” 2018. Thesis, University of Texas – Austin. Accessed July 23, 2019. http://hdl.handle.net/2152/68175.

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

MLA Handbook (7th Edition):

Tandon, Rashish. “On structured and distributed learning.” 2018. Web. 23 Jul 2019.

Vancouver:

Tandon R. On structured and distributed learning. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2152/68175.

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

Council of Science Editors:

Tandon R. On structured and distributed learning. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68175

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


Queensland University of Technology

5. 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 23, 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. 23 Jul 2019.

Vancouver:

Cecchinato N. Forecasting time-varying value-at-risk. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2019 Jul 23]. 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


Iowa State University

6. 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 23, 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. 23 Jul 2019.

Vancouver:

Cao F. Local Polynomial Kernel Smoothing with Correlated Errors. [Internet] [Thesis]. Iowa State University; 2017. [cited 2019 Jul 23]. 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


Universidade do Rio Grande do Sul

7. Torrent, Hudson da Silva. Estimação não-paramétrica e semi-paramétrica de fronteiras de produção.

Degree: 2010, Universidade do Rio Grande do Sul

Existe uma grande e crescente literatura sobre especificação e estimação de fronteiras de produção e, portanto, de eficiência de unidades produtivas. Nesta tese, o foco… (more)

Subjects/Keywords: Estimação; Nonparametric frontier models; Local exponential regression; Modelo matemático; Inferencia nao parametrica; Local linear regression; Inferência estatística; Additive models Semiparametric regression; Classical Backfitting; Smooth Backfitting

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APA (6th Edition):

Torrent, H. d. S. (2010). Estimação não-paramétrica e semi-paramétrica de fronteiras de produção. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/25786

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):

Torrent, Hudson da Silva. “Estimação não-paramétrica e semi-paramétrica de fronteiras de produção.” 2010. Thesis, Universidade do Rio Grande do Sul. Accessed July 23, 2019. http://hdl.handle.net/10183/25786.

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

MLA Handbook (7th Edition):

Torrent, Hudson da Silva. “Estimação não-paramétrica e semi-paramétrica de fronteiras de produção.” 2010. Web. 23 Jul 2019.

Vancouver:

Torrent HdS. Estimação não-paramétrica e semi-paramétrica de fronteiras de produção. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2010. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10183/25786.

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

Council of Science Editors:

Torrent HdS. Estimação não-paramétrica e semi-paramétrica de fronteiras de produção. [Thesis]. Universidade do Rio Grande do Sul; 2010. Available from: http://hdl.handle.net/10183/25786

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


Virginia Tech

8. Doruska, Paul F. Methods for Quantitatively Describing Tree Crown Profiles of Loblolly pine (<I>Pinus taeda</I> L.).

Degree: PhD, Forestry, 1998, Virginia Tech

 Physiological process models, productivity studies, and wildlife abundance studies all require accurate representations of tree crowns. In the past, geometric shapes or flexible mathematical equations… (more)

Subjects/Keywords: nonparametric regression; kernel; local linear; local polynomial; bandwidth

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APA (6th Edition):

Doruska, P. F. (1998). Methods for Quantitatively Describing Tree Crown Profiles of Loblolly pine (<I>Pinus taeda</I> L.). (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/30638

Chicago Manual of Style (16th Edition):

Doruska, Paul F. “Methods for Quantitatively Describing Tree Crown Profiles of Loblolly pine (<I>Pinus taeda</I> L.).” 1998. Doctoral Dissertation, Virginia Tech. Accessed July 23, 2019. http://hdl.handle.net/10919/30638.

MLA Handbook (7th Edition):

Doruska, Paul F. “Methods for Quantitatively Describing Tree Crown Profiles of Loblolly pine (<I>Pinus taeda</I> L.).” 1998. Web. 23 Jul 2019.

Vancouver:

Doruska PF. Methods for Quantitatively Describing Tree Crown Profiles of Loblolly pine (<I>Pinus taeda</I> L.). [Internet] [Doctoral dissertation]. Virginia Tech; 1998. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10919/30638.

Council of Science Editors:

Doruska PF. Methods for Quantitatively Describing Tree Crown Profiles of Loblolly pine (<I>Pinus taeda</I> L.). [Doctoral Dissertation]. Virginia Tech; 1998. Available from: http://hdl.handle.net/10919/30638


University of Florida

9. Holimon, Lara L. Did School Concurrency Affect the Location of Residential Development? An Analysis of School Concurrency in Alachua County, Florida.

Degree: MA, Urban and Regional Planning, 2012, University of Florida

 In Florida, the school concurrency requirement was only a required element in local comprehensive plans for six years. Senate Bill 360 in 2005 was seen… (more)

Subjects/Keywords: Counties; Elementary schools; Funding; High schools; Linear regression; Local governments; Middle schools; Public schools; Schools; Statistics; concurrency  – planning  – schools

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APA (6th Edition):

Holimon, L. L. (2012). Did School Concurrency Affect the Location of Residential Development? An Analysis of School Concurrency in Alachua County, Florida. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044164

Chicago Manual of Style (16th Edition):

Holimon, Lara L. “Did School Concurrency Affect the Location of Residential Development? An Analysis of School Concurrency in Alachua County, Florida.” 2012. Masters Thesis, University of Florida. Accessed July 23, 2019. http://ufdc.ufl.edu/UFE0044164.

MLA Handbook (7th Edition):

Holimon, Lara L. “Did School Concurrency Affect the Location of Residential Development? An Analysis of School Concurrency in Alachua County, Florida.” 2012. Web. 23 Jul 2019.

Vancouver:

Holimon LL. Did School Concurrency Affect the Location of Residential Development? An Analysis of School Concurrency in Alachua County, Florida. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 Jul 23]. Available from: http://ufdc.ufl.edu/UFE0044164.

Council of Science Editors:

Holimon LL. Did School Concurrency Affect the Location of Residential Development? An Analysis of School Concurrency in Alachua County, Florida. [Masters Thesis]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044164


University of Michigan

10. Tang, Runlong. Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings.

Degree: PhD, Statistics, 2011, University of Michigan

 This dissertation consists of three works. The first work is on the estimation and hypothesis testing for a failure time distribution function at a point… (more)

Subjects/Keywords: Isotonic Regression; Current Status Model; Time Sparsity; Local Linear Approximation; Bootstrap; Two-stage Procedure; Statistics and Numeric Data; Science

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APA (6th Edition):

Tang, R. (2011). Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86454

Chicago Manual of Style (16th Edition):

Tang, Runlong. “Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings.” 2011. Doctoral Dissertation, University of Michigan. Accessed July 23, 2019. http://hdl.handle.net/2027.42/86454.

MLA Handbook (7th Edition):

Tang, Runlong. “Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings.” 2011. Web. 23 Jul 2019.

Vancouver:

Tang R. Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2027.42/86454.

Council of Science Editors:

Tang R. Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86454


Brno University of Technology

11. Kałuża, Marian. Rozpoznání pohlaví člověka na fotografii .

Degree: 2010, Brno University of Technology

 Tato práce popisuje postup s využitím víceměřítkových fotografií pro rozpoznávání pohlaví podle obličeje. Koncept je založen na algoritmech jako "Histogram of Oriented Gradients" nebo "Local(more)

Subjects/Keywords: Rozpoznání pohlaví; Histogram of Oriented Gradients; Local Binary Patterns; Včesná fúze; Pozdní fúze; Lineární regrese; Gender recognition; Histogram of oriented gradients; Local binary patterns; Serial fusion; Parallel fusion; Linear regression

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APA (6th Edition):

Kałuża, M. (2010). Rozpoznání pohlaví člověka na fotografii . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55954

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):

Kałuża, Marian. “Rozpoznání pohlaví člověka na fotografii .” 2010. Thesis, Brno University of Technology. Accessed July 23, 2019. http://hdl.handle.net/11012/55954.

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

MLA Handbook (7th Edition):

Kałuża, Marian. “Rozpoznání pohlaví člověka na fotografii .” 2010. Web. 23 Jul 2019.

Vancouver:

Kałuża M. Rozpoznání pohlaví člověka na fotografii . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/11012/55954.

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

Council of Science Editors:

Kałuża M. Rozpoznání pohlaví člověka na fotografii . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/55954

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


Humboldt University of Berlin

12. Lykhnenko, Roman. Pricing kernels and their dependence on the implied volatility index.

Degree: 2016, Humboldt University of Berlin

Pricing Kernel ist entscheidend für das Verständnis der Investorenpräferenzen. Nach der klassischen Wirtschaftstheorie Pricing kernel, als eine Funktion der aggregierten Ressourcen, muss positiv und monoton… (more)

Subjects/Keywords: Statistik; Wirtschaft; Empirical pricing kernel; implied volatility; risk aversion; Empirische Pricing Kernel; implizite Volatilität; risikoneutrale Dichte; physikalische Dichte; lokal lineare Kernel-Regression; risk neutral density; physical density; local constant kernel regression; local linear kernel regression; ddc:330

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APA (6th Edition):

Lykhnenko, R. (2016). Pricing kernels and their dependence on the implied volatility index. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=43074 ; http://edoc.hu-berlin.de/master/lykhnenko-roman-2016-05-28/PDF/lykhnenko.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242507

Chicago Manual of Style (16th Edition):

Lykhnenko, Roman. “Pricing kernels and their dependence on the implied volatility index.” 2016. Masters Thesis, Humboldt University of Berlin. Accessed July 23, 2019. http://edoc.hu-berlin.de/docviews/abstract.php?id=43074 ; http://edoc.hu-berlin.de/master/lykhnenko-roman-2016-05-28/PDF/lykhnenko.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242507.

MLA Handbook (7th Edition):

Lykhnenko, Roman. “Pricing kernels and their dependence on the implied volatility index.” 2016. Web. 23 Jul 2019.

Vancouver:

Lykhnenko R. Pricing kernels and their dependence on the implied volatility index. [Internet] [Masters thesis]. Humboldt University of Berlin; 2016. [cited 2019 Jul 23]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=43074 ; http://edoc.hu-berlin.de/master/lykhnenko-roman-2016-05-28/PDF/lykhnenko.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242507.

Council of Science Editors:

Lykhnenko R. Pricing kernels and their dependence on the implied volatility index. [Masters Thesis]. Humboldt University of Berlin; 2016. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=43074 ; http://edoc.hu-berlin.de/master/lykhnenko-roman-2016-05-28/PDF/lykhnenko.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100242507


Université Catholique de Louvain

13. El Ghouch, Anouar. Nonparametric statistical inference for dependent censored data.

Degree: 2007, Université Catholique de Louvain

A frequent problem that appears in practical survival data analysis is censoring. A censored observation occurs when the observation of the event time (duration or… (more)

Subjects/Keywords: Kernel smoothing; Local linear; Blocking; Quantile regression; Survival analysis; Nonparametric regression; Mean regression; Mixing sequences; Censoring; Kaplan-Meier integral

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APA (6th Edition):

El Ghouch, A. (2007). Nonparametric statistical inference for dependent censored data. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/4874

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):

El Ghouch, Anouar. “Nonparametric statistical inference for dependent censored data.” 2007. Thesis, Université Catholique de Louvain. Accessed July 23, 2019. http://hdl.handle.net/2078.1/4874.

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

MLA Handbook (7th Edition):

El Ghouch, Anouar. “Nonparametric statistical inference for dependent censored data.” 2007. Web. 23 Jul 2019.

Vancouver:

El Ghouch A. Nonparametric statistical inference for dependent censored data. [Internet] [Thesis]. Université Catholique de Louvain; 2007. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2078.1/4874.

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

Council of Science Editors:

El Ghouch A. Nonparametric statistical inference for dependent censored data. [Thesis]. Université Catholique de Louvain; 2007. Available from: http://hdl.handle.net/2078.1/4874

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

14. 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

…Comparison of Local linear Kernel Regression Estimators - f (x) ∼ U [0, 1], m… …3.2 52 Comparison of Local linear Kernel Regression Estimators - f (x) ∼ U [… …3.3 53 Comparison of Local linear Kernel Regression Estimators - f (x) ∼ U [… …3.4 54 Comparison of Local linear Kernel Regression Estimators - f (x) ∼ U [… …viii 55 6 3.5 Comparison of Local linear Kernel Regression Estimators on Old Faithful… 

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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 23, 2019. http://hdl.handle.net/2097/38554.

MLA Handbook (7th Edition):

Natarajan, Balasubramaniam. “Asymptotic properties of non-parametric regression with Beta kernels.” 2018. Web. 23 Jul 2019.

Vancouver:

Natarajan B. Asymptotic properties of non-parametric regression with Beta kernels. [Internet] [Doctoral dissertation]. Kansas State University; 2018. [cited 2019 Jul 23]. 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


Delft University of Technology

15. Grondman, I. Online Model Learning Algorithms for Actor-Critic Control.

Degree: 2015, Delft University of Technology

 Classical control theory requires a model to be derived for a system, before any control design can take place. This can be a hard, time-consuming… (more)

Subjects/Keywords: reinforcement learning; actor-critic; model learning; control; radial basis functions; local linear regression

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APA (6th Edition):

Grondman, I. (2015). Online Model Learning Algorithms for Actor-Critic Control. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; urn:NBN:nl:ui:24-uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; urn:NBN:nl:ui:24-uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; http://resolver.tudelft.nl/uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280

Chicago Manual of Style (16th Edition):

Grondman, I. “Online Model Learning Algorithms for Actor-Critic Control.” 2015. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; urn:NBN:nl:ui:24-uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; urn:NBN:nl:ui:24-uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; http://resolver.tudelft.nl/uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280.

MLA Handbook (7th Edition):

Grondman, I. “Online Model Learning Algorithms for Actor-Critic Control.” 2015. Web. 23 Jul 2019.

Vancouver:

Grondman I. Online Model Learning Algorithms for Actor-Critic Control. [Internet] [Doctoral dissertation]. Delft University of Technology; 2015. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; urn:NBN:nl:ui:24-uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; urn:NBN:nl:ui:24-uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; http://resolver.tudelft.nl/uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280.

Council of Science Editors:

Grondman I. Online Model Learning Algorithms for Actor-Critic Control. [Doctoral Dissertation]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; urn:NBN:nl:ui:24-uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; urn:NBN:nl:ui:24-uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280 ; http://resolver.tudelft.nl/uuid:415e14fd-0b1b-4e18-8974-5ad61f7fe280


Virginia Tech

16. Mays, James Edward. Model robust regression : combining parametric, nonparametric, and semiparametric methods.

Degree: PhD, Statistics, 1995, Virginia Tech

Subjects/Keywords: model misspecification local linear regression bandwidth mixing; LD5655.V856 1995.M397

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APA (6th Edition):

Mays, J. E. (1995). Model robust regression : combining parametric, nonparametric, and semiparametric methods. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49937

Chicago Manual of Style (16th Edition):

Mays, James Edward. “Model robust regression : combining parametric, nonparametric, and semiparametric methods.” 1995. Doctoral Dissertation, Virginia Tech. Accessed July 23, 2019. http://hdl.handle.net/10919/49937.

MLA Handbook (7th Edition):

Mays, James Edward. “Model robust regression : combining parametric, nonparametric, and semiparametric methods.” 1995. Web. 23 Jul 2019.

Vancouver:

Mays JE. Model robust regression : combining parametric, nonparametric, and semiparametric methods. [Internet] [Doctoral dissertation]. Virginia Tech; 1995. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10919/49937.

Council of Science Editors:

Mays JE. Model robust regression : combining parametric, nonparametric, and semiparametric methods. [Doctoral Dissertation]. Virginia Tech; 1995. Available from: http://hdl.handle.net/10919/49937


Universiteit Utrecht

17. Loog, Marco. Supervised dimensionality reduction and contextual pattern recognition in medical image processing.

Degree: 2004, Universiteit Utrecht

 The past few years have witnessed a significant increase in the number of supervised methods employed in diverse image processing tasks. Especially in medical image… (more)

Subjects/Keywords: Geneeskunde; image analysis; supervised methods; feature extraction; linear dimensionality reduction; black math; local methods; contextual methods; back-transduction; segmentation; regression

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

APA (6th Edition):

Loog, M. (2004). Supervised dimensionality reduction and contextual pattern recognition in medical image processing. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/7292

Chicago Manual of Style (16th Edition):

Loog, Marco. “Supervised dimensionality reduction and contextual pattern recognition in medical image processing.” 2004. Doctoral Dissertation, Universiteit Utrecht. Accessed July 23, 2019. http://dspace.library.uu.nl:8080/handle/1874/7292.

MLA Handbook (7th Edition):

Loog, Marco. “Supervised dimensionality reduction and contextual pattern recognition in medical image processing.” 2004. Web. 23 Jul 2019.

Vancouver:

Loog M. Supervised dimensionality reduction and contextual pattern recognition in medical image processing. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2004. [cited 2019 Jul 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/7292.

Council of Science Editors:

Loog M. Supervised dimensionality reduction and contextual pattern recognition in medical image processing. [Doctoral Dissertation]. Universiteit Utrecht; 2004. Available from: http://dspace.library.uu.nl:8080/handle/1874/7292

18. Loog, Marco. Supervised dimensionality reduction and contextual pattern recognition in medical image processing.

Degree: 2004, University Utrecht

 The past few years have witnessed a significant increase in the number of supervised methods employed in diverse image processing tasks. Especially in medical image… (more)

Subjects/Keywords: image analysis; supervised methods; feature extraction; linear dimensionality reduction; black math; local methods; contextual methods; back-transduction; segmentation; regression

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

APA (6th Edition):

Loog, M. (2004). Supervised dimensionality reduction and contextual pattern recognition in medical image processing. (Doctoral Dissertation). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/7292 ; URN:NBN:NL:UI:10-1874-7292 ; urn:isbn:90-393-3804-3 ; URN:NBN:NL:UI:10-1874-7292 ; http://dspace.library.uu.nl/handle/1874/7292

Chicago Manual of Style (16th Edition):

Loog, Marco. “Supervised dimensionality reduction and contextual pattern recognition in medical image processing.” 2004. Doctoral Dissertation, University Utrecht. Accessed July 23, 2019. http://dspace.library.uu.nl/handle/1874/7292 ; URN:NBN:NL:UI:10-1874-7292 ; urn:isbn:90-393-3804-3 ; URN:NBN:NL:UI:10-1874-7292 ; http://dspace.library.uu.nl/handle/1874/7292.

MLA Handbook (7th Edition):

Loog, Marco. “Supervised dimensionality reduction and contextual pattern recognition in medical image processing.” 2004. Web. 23 Jul 2019.

Vancouver:

Loog M. Supervised dimensionality reduction and contextual pattern recognition in medical image processing. [Internet] [Doctoral dissertation]. University Utrecht; 2004. [cited 2019 Jul 23]. Available from: http://dspace.library.uu.nl/handle/1874/7292 ; URN:NBN:NL:UI:10-1874-7292 ; urn:isbn:90-393-3804-3 ; URN:NBN:NL:UI:10-1874-7292 ; http://dspace.library.uu.nl/handle/1874/7292.

Council of Science Editors:

Loog M. Supervised dimensionality reduction and contextual pattern recognition in medical image processing. [Doctoral Dissertation]. University Utrecht; 2004. Available from: http://dspace.library.uu.nl/handle/1874/7292 ; URN:NBN:NL:UI:10-1874-7292 ; urn:isbn:90-393-3804-3 ; URN:NBN:NL:UI:10-1874-7292 ; http://dspace.library.uu.nl/handle/1874/7292

19. Loog, Marco. Supervised dimensionality reduction and contextual pattern recognition in medical image processing.

Degree: 2004, University Utrecht

 The past few years have witnessed a significant increase in the number of supervised methods employed in diverse image processing tasks. Especially in medical image… (more)

Subjects/Keywords: image analysis; supervised methods; feature extraction; linear dimensionality reduction; black math; local methods; contextual methods; back-transduction; segmentation; regression

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

APA (6th Edition):

Loog, M. (2004). Supervised dimensionality reduction and contextual pattern recognition in medical image processing. (Doctoral Dissertation). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/7292 ; URN:NBN:NL:UI:10-1874-7292 ; urn:isbn:90-393-3804-3 ; URN:NBN:NL:UI:10-1874-7292 ; http://dspace.library.uu.nl/handle/1874/7292

Chicago Manual of Style (16th Edition):

Loog, Marco. “Supervised dimensionality reduction and contextual pattern recognition in medical image processing.” 2004. Doctoral Dissertation, University Utrecht. Accessed July 23, 2019. http://dspace.library.uu.nl/handle/1874/7292 ; URN:NBN:NL:UI:10-1874-7292 ; urn:isbn:90-393-3804-3 ; URN:NBN:NL:UI:10-1874-7292 ; http://dspace.library.uu.nl/handle/1874/7292.

MLA Handbook (7th Edition):

Loog, Marco. “Supervised dimensionality reduction and contextual pattern recognition in medical image processing.” 2004. Web. 23 Jul 2019.

Vancouver:

Loog M. Supervised dimensionality reduction and contextual pattern recognition in medical image processing. [Internet] [Doctoral dissertation]. University Utrecht; 2004. [cited 2019 Jul 23]. Available from: http://dspace.library.uu.nl/handle/1874/7292 ; URN:NBN:NL:UI:10-1874-7292 ; urn:isbn:90-393-3804-3 ; URN:NBN:NL:UI:10-1874-7292 ; http://dspace.library.uu.nl/handle/1874/7292.

Council of Science Editors:

Loog M. Supervised dimensionality reduction and contextual pattern recognition in medical image processing. [Doctoral Dissertation]. University Utrecht; 2004. Available from: http://dspace.library.uu.nl/handle/1874/7292 ; URN:NBN:NL:UI:10-1874-7292 ; urn:isbn:90-393-3804-3 ; URN:NBN:NL:UI:10-1874-7292 ; http://dspace.library.uu.nl/handle/1874/7292


Penn State University

20. Wang, Yang. Varying-Coefficient Models: New Models, Inference Procedures, and Applications.

Degree: PhD, Statistics, 2007, Penn State University

 Motivated by an empirical analysis of a data set collected in the field of ecology, we proposed nonlinear varying-coefficient models, a new class of varying-coefficient… (more)

Subjects/Keywords: Monte Carlo simulation; semi-parametric; semiparametric; nonparametric regression; kernel regression; local likelihood; generalized likelihood ratio test; cross validation; Time-varying-coefficient model; Nonlinear; Local Linear; Varying-coefficient Model; forecasting; bandwidth; bootstraping; bootstrap

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APA (6th Edition):

Wang, Y. (2007). Varying-Coefficient Models: New Models, Inference Procedures, and Applications. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/7602

Chicago Manual of Style (16th Edition):

Wang, Yang. “Varying-Coefficient Models: New Models, Inference Procedures, and Applications.” 2007. Doctoral Dissertation, Penn State University. Accessed July 23, 2019. https://etda.libraries.psu.edu/catalog/7602.

MLA Handbook (7th Edition):

Wang, Yang. “Varying-Coefficient Models: New Models, Inference Procedures, and Applications.” 2007. Web. 23 Jul 2019.

Vancouver:

Wang Y. Varying-Coefficient Models: New Models, Inference Procedures, and Applications. [Internet] [Doctoral dissertation]. Penn State University; 2007. [cited 2019 Jul 23]. Available from: https://etda.libraries.psu.edu/catalog/7602.

Council of Science Editors:

Wang Y. Varying-Coefficient Models: New Models, Inference Procedures, and Applications. [Doctoral Dissertation]. Penn State University; 2007. Available from: https://etda.libraries.psu.edu/catalog/7602

21. Park, Yeo Jung. New Methods for Discovering Hidden Dependence and for Assessing the Possible Influence of Unobserved Variables.

Degree: PhD, Statistics, 2013, University of Michigan

 The biological interpretation of neuroimaging data often depends on changes in the dependence structure between locations in the brain. A major challenge in neuroscience is… (more)

Subjects/Keywords: Brain Connectivity Analysis; Frequency Decomposition; Wavelet Transformation; Local Transformation; Linear Filter; Unobserved Variable in Regression; Statistics and Numeric Data; Science

…ˆ 2 in the legend box denotes sample regression R2 calculated from R u|x 2 simulated U and… …Simulation results. Here R2 s are sample regression R2 calculated from simulated X, U and Y . The… …possibility that the dependence between two series can be revealed by applying a local… …unobservable regression of interest is characterized in terms of three quantities: the distribution… …alternative explanations for an observed multiple regression relationship. xi CHAPTER I… 

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APA (6th Edition):

Park, Y. J. (2013). New Methods for Discovering Hidden Dependence and for Assessing the Possible Influence of Unobserved Variables. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/99959

Chicago Manual of Style (16th Edition):

Park, Yeo Jung. “New Methods for Discovering Hidden Dependence and for Assessing the Possible Influence of Unobserved Variables.” 2013. Doctoral Dissertation, University of Michigan. Accessed July 23, 2019. http://hdl.handle.net/2027.42/99959.

MLA Handbook (7th Edition):

Park, Yeo Jung. “New Methods for Discovering Hidden Dependence and for Assessing the Possible Influence of Unobserved Variables.” 2013. Web. 23 Jul 2019.

Vancouver:

Park YJ. New Methods for Discovering Hidden Dependence and for Assessing the Possible Influence of Unobserved Variables. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2027.42/99959.

Council of Science Editors:

Park YJ. New Methods for Discovering Hidden Dependence and for Assessing the Possible Influence of Unobserved Variables. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/99959

22. Soberón Vélez, Alexandra Pilar. Modelos de coeficientes variables de datos de panel : estimación directa semi-paramétrica y su aplicación en la modelización del comportamiento de los individuos. Panel data varying coefficient models : direct semi-parametric estimation and its application in modeling the individuals behavior.

Degree: Departamento de Economía, 2014, Universidad de Cantabria

 In this doctoral dissertation we develop new estimation strategies to estimate varying coefficient panel data models where the individual effects are arbitrarily correlated with the… (more)

Subjects/Keywords: Efectos fijos; Regresión local lineal; Estimador oráculo eficiente; Datos de panel; Modelos de coeficientes variables; Estimador within; Estimador de mínimos; Cuadrados de perfil; Endogeneidad; Integración marginal; Modelo de hipótesis del ciclo vital; Ahorros preventivos; Backfitting; Fixed effects; Local linear regression; Oracle efficient estimator; Panel data; Varying coefficient models; Within estimator; Profile least-squares estimator; Endogeneity; Marginal integration; Life-cycle hypothesis model; Precautionary savings; Fundamentos del Análisis Económico. Econometría; 33; 51

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APA (6th Edition):

Soberón Vélez, A. P. (2014). Modelos de coeficientes variables de datos de panel : estimación directa semi-paramétrica y su aplicación en la modelización del comportamiento de los individuos. Panel data varying coefficient models : direct semi-parametric estimation and its application in modeling the individuals behavior. (Thesis). Universidad de Cantabria. Retrieved from http://hdl.handle.net/10803/321830

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):

Soberón Vélez, Alexandra Pilar. “Modelos de coeficientes variables de datos de panel : estimación directa semi-paramétrica y su aplicación en la modelización del comportamiento de los individuos. Panel data varying coefficient models : direct semi-parametric estimation and its application in modeling the individuals behavior.” 2014. Thesis, Universidad de Cantabria. Accessed July 23, 2019. http://hdl.handle.net/10803/321830.

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

MLA Handbook (7th Edition):

Soberón Vélez, Alexandra Pilar. “Modelos de coeficientes variables de datos de panel : estimación directa semi-paramétrica y su aplicación en la modelización del comportamiento de los individuos. Panel data varying coefficient models : direct semi-parametric estimation and its application in modeling the individuals behavior.” 2014. Web. 23 Jul 2019.

Vancouver:

Soberón Vélez AP. Modelos de coeficientes variables de datos de panel : estimación directa semi-paramétrica y su aplicación en la modelización del comportamiento de los individuos. Panel data varying coefficient models : direct semi-parametric estimation and its application in modeling the individuals behavior. [Internet] [Thesis]. Universidad de Cantabria; 2014. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10803/321830.

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

Council of Science Editors:

Soberón Vélez AP. Modelos de coeficientes variables de datos de panel : estimación directa semi-paramétrica y su aplicación en la modelización del comportamiento de los individuos. Panel data varying coefficient models : direct semi-parametric estimation and its application in modeling the individuals behavior. [Thesis]. Universidad de Cantabria; 2014. Available from: http://hdl.handle.net/10803/321830

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

.