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You searched for subject:(Lasso). Showing records 1 – 30 of 287 total matches.

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Case Western Reserve University

1. Xing, Guan. LASSOING MIXTURES AND BAYESIAN ROBUST ESTIMATION.

Degree: PhD, Epidemiology and Biostatistics, 2007, Case Western Reserve University

 This dissertation includes two parts. The first part describes a new estimation method for finite mixture models. Different from traditional methods, we borrow ideas from… (more)

Subjects/Keywords: LASSO

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APA (6th Edition):

Xing, G. (2007). LASSOING MIXTURES AND BAYESIAN ROBUST ESTIMATION. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1164135815

Chicago Manual of Style (16th Edition):

Xing, Guan. “LASSOING MIXTURES AND BAYESIAN ROBUST ESTIMATION.” 2007. Doctoral Dissertation, Case Western Reserve University. Accessed January 17, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1164135815.

MLA Handbook (7th Edition):

Xing, Guan. “LASSOING MIXTURES AND BAYESIAN ROBUST ESTIMATION.” 2007. Web. 17 Jan 2020.

Vancouver:

Xing G. LASSOING MIXTURES AND BAYESIAN ROBUST ESTIMATION. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2007. [cited 2020 Jan 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1164135815.

Council of Science Editors:

Xing G. LASSOING MIXTURES AND BAYESIAN ROBUST ESTIMATION. [Doctoral Dissertation]. Case Western Reserve University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1164135815


University of Georgia

2. Qiu, Junshan. Variable selection methods with applications.

Degree: PhD, Statistics, 2008, University of Georgia

 A data-driven method of generalized adaptive ridge (GAR) for an automatic yet adaptive regression shrinkage and selection was proposed as the first part of this… (more)

Subjects/Keywords: ADAPTIVE LASSO

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APA (6th Edition):

Qiu, J. (2008). Variable selection methods with applications. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/qiu_junshan_200812_phd

Chicago Manual of Style (16th Edition):

Qiu, Junshan. “Variable selection methods with applications.” 2008. Doctoral Dissertation, University of Georgia. Accessed January 17, 2020. http://purl.galileo.usg.edu/uga_etd/qiu_junshan_200812_phd.

MLA Handbook (7th Edition):

Qiu, Junshan. “Variable selection methods with applications.” 2008. Web. 17 Jan 2020.

Vancouver:

Qiu J. Variable selection methods with applications. [Internet] [Doctoral dissertation]. University of Georgia; 2008. [cited 2020 Jan 17]. Available from: http://purl.galileo.usg.edu/uga_etd/qiu_junshan_200812_phd.

Council of Science Editors:

Qiu J. Variable selection methods with applications. [Doctoral Dissertation]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/qiu_junshan_200812_phd


NSYSU

3. Yang, Bo-Cheng. A two-stage financial network model.

Degree: Master, Applied Mathematics, 2017, NSYSU

 We develop a two-stage procedure for constructing financial network. In the first stage, we build vector autoregressive (VAR) models for financial asset returns. To overcome… (more)

Subjects/Keywords: adaptive Lasso; Lasso; network; vector auto-regression

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APA (6th Edition):

Yang, B. (2017). A two-stage financial network model. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-175435

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):

Yang, Bo-Cheng. “A two-stage financial network model.” 2017. Thesis, NSYSU. Accessed January 17, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-175435.

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

MLA Handbook (7th Edition):

Yang, Bo-Cheng. “A two-stage financial network model.” 2017. Web. 17 Jan 2020.

Vancouver:

Yang B. A two-stage financial network model. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Jan 17]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-175435.

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

Council of Science Editors:

Yang B. A two-stage financial network model. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-175435

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


Delft University of Technology

4. Sanders, M.A. Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:.

Degree: 2009, Delft University of Technology

 Continuous variable selection using shrinkage procedures have recently been considered as favorable models in a wide range of scientific research; in particular biomedical research. In… (more)

Subjects/Keywords: regression; lasso; group lasso; leukemia; multi-class

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APA (6th Edition):

Sanders, M. A. (2009). Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:09903120-2d84-45af-aa61-4ec3c1d1c5a3

Chicago Manual of Style (16th Edition):

Sanders, M A. “Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:.” 2009. Masters Thesis, Delft University of Technology. Accessed January 17, 2020. http://resolver.tudelft.nl/uuid:09903120-2d84-45af-aa61-4ec3c1d1c5a3.

MLA Handbook (7th Edition):

Sanders, M A. “Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:.” 2009. Web. 17 Jan 2020.

Vancouver:

Sanders MA. Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2020 Jan 17]. Available from: http://resolver.tudelft.nl/uuid:09903120-2d84-45af-aa61-4ec3c1d1c5a3.

Council of Science Editors:

Sanders MA. Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:09903120-2d84-45af-aa61-4ec3c1d1c5a3


Colorado School of Mines

5. Saxe, Samuel. Linear modeling and evaluation of controls on flow response in western post-fire watersheds.

Degree: MS(M.S.), Civil and Environmental Engineering, 2016, Colorado School of Mines

 This research investigates the impact of wildfires on watershed flow regimes throughout the western United States, specifically focusing on evaluation of fire events within specified… (more)

Subjects/Keywords: fire; LASSO; wildfire

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APA (6th Edition):

Saxe, S. (2016). Linear modeling and evaluation of controls on flow response in western post-fire watersheds. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170033

Chicago Manual of Style (16th Edition):

Saxe, Samuel. “Linear modeling and evaluation of controls on flow response in western post-fire watersheds.” 2016. Masters Thesis, Colorado School of Mines. Accessed January 17, 2020. http://hdl.handle.net/11124/170033.

MLA Handbook (7th Edition):

Saxe, Samuel. “Linear modeling and evaluation of controls on flow response in western post-fire watersheds.” 2016. Web. 17 Jan 2020.

Vancouver:

Saxe S. Linear modeling and evaluation of controls on flow response in western post-fire watersheds. [Internet] [Masters thesis]. Colorado School of Mines; 2016. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/11124/170033.

Council of Science Editors:

Saxe S. Linear modeling and evaluation of controls on flow response in western post-fire watersheds. [Masters Thesis]. Colorado School of Mines; 2016. Available from: http://hdl.handle.net/11124/170033


Princeton University

6. Koos, Joseph Douglas. INVESTIGATION OF THE MATURATION AND DEGRADATION OF LASSO PEPTIDES THROUGH IN VITRO STUDIES .

Degree: PhD, 2019, Princeton University

Lasso peptides are a class of small molecules characterized by a unique threaded structure. In addition to this shape, lasso peptides are also of interest… (more)

Subjects/Keywords: Lasso Peptides; RiPPs

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APA (6th Edition):

Koos, J. D. (2019). INVESTIGATION OF THE MATURATION AND DEGRADATION OF LASSO PEPTIDES THROUGH IN VITRO STUDIES . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01bc386n013

Chicago Manual of Style (16th Edition):

Koos, Joseph Douglas. “INVESTIGATION OF THE MATURATION AND DEGRADATION OF LASSO PEPTIDES THROUGH IN VITRO STUDIES .” 2019. Doctoral Dissertation, Princeton University. Accessed January 17, 2020. http://arks.princeton.edu/ark:/88435/dsp01bc386n013.

MLA Handbook (7th Edition):

Koos, Joseph Douglas. “INVESTIGATION OF THE MATURATION AND DEGRADATION OF LASSO PEPTIDES THROUGH IN VITRO STUDIES .” 2019. Web. 17 Jan 2020.

Vancouver:

Koos JD. INVESTIGATION OF THE MATURATION AND DEGRADATION OF LASSO PEPTIDES THROUGH IN VITRO STUDIES . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2020 Jan 17]. Available from: http://arks.princeton.edu/ark:/88435/dsp01bc386n013.

Council of Science Editors:

Koos JD. INVESTIGATION OF THE MATURATION AND DEGRADATION OF LASSO PEPTIDES THROUGH IN VITRO STUDIES . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp01bc386n013


University of Notre Dame

7. Weiye Chen. Penalized Methods and Their Applications to Genetic Research and Economic Forecasting</h1>.

Degree: PhD, Applied and Computational Mathematics and Statistics, 2015, University of Notre Dame

  My work in this thesis is about the lasso-based penalties, SCAD-based penalties and their applications to genetic research and economic forecasting. Motivated by functional… (more)

Subjects/Keywords: macroeconomic forecasting; SCAD; Lasso; fGWAS

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APA (6th Edition):

Chen, W. (2015). Penalized Methods and Their Applications to Genetic Research and Economic Forecasting</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/pv63fx73n73

Chicago Manual of Style (16th Edition):

Chen, Weiye. “Penalized Methods and Their Applications to Genetic Research and Economic Forecasting</h1>.” 2015. Doctoral Dissertation, University of Notre Dame. Accessed January 17, 2020. https://curate.nd.edu/show/pv63fx73n73.

MLA Handbook (7th Edition):

Chen, Weiye. “Penalized Methods and Their Applications to Genetic Research and Economic Forecasting</h1>.” 2015. Web. 17 Jan 2020.

Vancouver:

Chen W. Penalized Methods and Their Applications to Genetic Research and Economic Forecasting</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2015. [cited 2020 Jan 17]. Available from: https://curate.nd.edu/show/pv63fx73n73.

Council of Science Editors:

Chen W. Penalized Methods and Their Applications to Genetic Research and Economic Forecasting</h1>. [Doctoral Dissertation]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/pv63fx73n73


Penn State University

8. Tutuk, Fatih. Sparse Linear Time Invariant System Identification Using Weighted Lasso.

Degree: MS, Electrical Engineering, 2014, Penn State University

 In this thesis, the identification of a single-input single-output (SISO) linear time invariant (LTI) dynamical system from a finite set of completely known input signals… (more)

Subjects/Keywords: System Identification; Sparsity; Lasso; Reweighting

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APA (6th Edition):

Tutuk, F. (2014). Sparse Linear Time Invariant System Identification Using Weighted Lasso. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/23710

Chicago Manual of Style (16th Edition):

Tutuk, Fatih. “Sparse Linear Time Invariant System Identification Using Weighted Lasso.” 2014. Masters Thesis, Penn State University. Accessed January 17, 2020. https://etda.libraries.psu.edu/catalog/23710.

MLA Handbook (7th Edition):

Tutuk, Fatih. “Sparse Linear Time Invariant System Identification Using Weighted Lasso.” 2014. Web. 17 Jan 2020.

Vancouver:

Tutuk F. Sparse Linear Time Invariant System Identification Using Weighted Lasso. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2020 Jan 17]. Available from: https://etda.libraries.psu.edu/catalog/23710.

Council of Science Editors:

Tutuk F. Sparse Linear Time Invariant System Identification Using Weighted Lasso. [Masters Thesis]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/23710


NSYSU

9. Huang, Sian-Hong. A study on network modeling with grouping structure among its nodes.

Degree: Master, Applied Mathematics, 2017, NSYSU

 The group effect between variables arises frequently in the real data analysis (e.g., biological, financial econometric). In this study, we aim to build network structure… (more)

Subjects/Keywords: group lasso; Granger causality; network

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APA (6th Edition):

Huang, S. (2017). A study on network modeling with grouping structure among its nodes. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807

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):

Huang, Sian-Hong. “A study on network modeling with grouping structure among its nodes.” 2017. Thesis, NSYSU. Accessed January 17, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807.

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

MLA Handbook (7th Edition):

Huang, Sian-Hong. “A study on network modeling with grouping structure among its nodes.” 2017. Web. 17 Jan 2020.

Vancouver:

Huang S. A study on network modeling with grouping structure among its nodes. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Jan 17]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807.

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

Council of Science Editors:

Huang S. A study on network modeling with grouping structure among its nodes. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807

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


Mississippi State University

10. Phillips, Katie Lynn. An application of ridge regression and LASSO methods for model selection.

Degree: MS, Mathematics and Statistics, 2018, Mississippi State University

 Ordinary Least Squares (OLS) models are popular tools among field scientists, because they are easy to understand and use. Although OLS estimators are unbiased, it… (more)

Subjects/Keywords: shrinkage; LASSO; ridge regression

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APA (6th Edition):

Phillips, K. L. (2018). An application of ridge regression and LASSO methods for model selection. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;

Chicago Manual of Style (16th Edition):

Phillips, Katie Lynn. “An application of ridge regression and LASSO methods for model selection.” 2018. Masters Thesis, Mississippi State University. Accessed January 17, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;.

MLA Handbook (7th Edition):

Phillips, Katie Lynn. “An application of ridge regression and LASSO methods for model selection.” 2018. Web. 17 Jan 2020.

Vancouver:

Phillips KL. An application of ridge regression and LASSO methods for model selection. [Internet] [Masters thesis]. Mississippi State University; 2018. [cited 2020 Jan 17]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;.

Council of Science Editors:

Phillips KL. An application of ridge regression and LASSO methods for model selection. [Masters Thesis]. Mississippi State University; 2018. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;


Arizona State University

11. van Schaijik, Maria. Threshold Regression Estimation via Lasso, Elastic-Net, and Lad-Lasso: A Simulation Study with Applications to Urban Traffic Data.

Degree: Industrial Engineering, 2015, Arizona State University

 Threshold regression is used to model regime switching dynamics where the effects of the explanatory variables in predicting the response variable depend on whether a… (more)

Subjects/Keywords: Statistics; Lasso; SETAR; Threshold Regression

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APA (6th Edition):

van Schaijik, M. (2015). Threshold Regression Estimation via Lasso, Elastic-Net, and Lad-Lasso: A Simulation Study with Applications to Urban Traffic Data. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/34801

Chicago Manual of Style (16th Edition):

van Schaijik, Maria. “Threshold Regression Estimation via Lasso, Elastic-Net, and Lad-Lasso: A Simulation Study with Applications to Urban Traffic Data.” 2015. Masters Thesis, Arizona State University. Accessed January 17, 2020. http://repository.asu.edu/items/34801.

MLA Handbook (7th Edition):

van Schaijik, Maria. “Threshold Regression Estimation via Lasso, Elastic-Net, and Lad-Lasso: A Simulation Study with Applications to Urban Traffic Data.” 2015. Web. 17 Jan 2020.

Vancouver:

van Schaijik M. Threshold Regression Estimation via Lasso, Elastic-Net, and Lad-Lasso: A Simulation Study with Applications to Urban Traffic Data. [Internet] [Masters thesis]. Arizona State University; 2015. [cited 2020 Jan 17]. Available from: http://repository.asu.edu/items/34801.

Council of Science Editors:

van Schaijik M. Threshold Regression Estimation via Lasso, Elastic-Net, and Lad-Lasso: A Simulation Study with Applications to Urban Traffic Data. [Masters Thesis]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/34801


Princeton University

12. Allen, Caitlin D. Engineering and Unraveling Lasso Peptide Topologies .

Degree: PhD, 2016, Princeton University

 Catenanes, rotaxanes and knots are characterized by their mechanically interlocked architectures. These molecules are of interest to scientists due to their rare and curious presence… (more)

Subjects/Keywords: Catenane; Lasso Peptide; Rotaxane

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APA (6th Edition):

Allen, C. D. (2016). Engineering and Unraveling Lasso Peptide Topologies . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01ht24wm91g

Chicago Manual of Style (16th Edition):

Allen, Caitlin D. “Engineering and Unraveling Lasso Peptide Topologies .” 2016. Doctoral Dissertation, Princeton University. Accessed January 17, 2020. http://arks.princeton.edu/ark:/88435/dsp01ht24wm91g.

MLA Handbook (7th Edition):

Allen, Caitlin D. “Engineering and Unraveling Lasso Peptide Topologies .” 2016. Web. 17 Jan 2020.

Vancouver:

Allen CD. Engineering and Unraveling Lasso Peptide Topologies . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2020 Jan 17]. Available from: http://arks.princeton.edu/ark:/88435/dsp01ht24wm91g.

Council of Science Editors:

Allen CD. Engineering and Unraveling Lasso Peptide Topologies . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp01ht24wm91g

13. Madrid Padilla, Oscar Hernan. Constrained estimation via the fused lasso and some generalizations.

Degree: PhD, Statistics, 2017, University of Texas – Austin

 This dissertation studies structurally constrained statistical estimators. Two entwined main themes are developed: computationally efficient algorithms, and strong statistical guarantees of estimators across a wide… (more)

Subjects/Keywords: Fused lasso; Penalized likelihood.

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APA (6th Edition):

Madrid Padilla, O. H. (2017). Constrained estimation via the fused lasso and some generalizations. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63067

Chicago Manual of Style (16th Edition):

Madrid Padilla, Oscar Hernan. “Constrained estimation via the fused lasso and some generalizations.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 17, 2020. http://hdl.handle.net/2152/63067.

MLA Handbook (7th Edition):

Madrid Padilla, Oscar Hernan. “Constrained estimation via the fused lasso and some generalizations.” 2017. Web. 17 Jan 2020.

Vancouver:

Madrid Padilla OH. Constrained estimation via the fused lasso and some generalizations. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/2152/63067.

Council of Science Editors:

Madrid Padilla OH. Constrained estimation via the fused lasso and some generalizations. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63067


Brunel University

14. Al-Kenani, Ali J. Kadhim. Some statistical methods for dimension reduction.

Degree: PhD, 2013, Brunel University

 The aim of the work in this thesis is to carry out dimension reduction (DR) for high dimensional (HD) data by using statistical methods for… (more)

Subjects/Keywords: 519.5; Dimension reduction; Variable selection; Lasso; Adaptive lasso; Quantile regression

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APA (6th Edition):

Al-Kenani, A. J. K. (2013). Some statistical methods for dimension reduction. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7727 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582920

Chicago Manual of Style (16th Edition):

Al-Kenani, Ali J Kadhim. “Some statistical methods for dimension reduction.” 2013. Doctoral Dissertation, Brunel University. Accessed January 17, 2020. http://bura.brunel.ac.uk/handle/2438/7727 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582920.

MLA Handbook (7th Edition):

Al-Kenani, Ali J Kadhim. “Some statistical methods for dimension reduction.” 2013. Web. 17 Jan 2020.

Vancouver:

Al-Kenani AJK. Some statistical methods for dimension reduction. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2020 Jan 17]. Available from: http://bura.brunel.ac.uk/handle/2438/7727 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582920.

Council of Science Editors:

Al-Kenani AJK. Some statistical methods for dimension reduction. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/7727 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582920


Princeton University

15. Maksimov, Mikhail Olegovich. Discovery and Engineering of Novel Lasso Peptides .

Degree: PhD, 2015, Princeton University

Lasso peptides are a class of ribosomal natural products, characterized by an unusual structural fold, remarkable stability, and high biotechnological potential. Despite progress made in… (more)

Subjects/Keywords: Astexin; Cysteine lasso; Genome mining; Isopeptidase; Lasso peptide

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APA (6th Edition):

Maksimov, M. O. (2015). Discovery and Engineering of Novel Lasso Peptides . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp019019s4717

Chicago Manual of Style (16th Edition):

Maksimov, Mikhail Olegovich. “Discovery and Engineering of Novel Lasso Peptides .” 2015. Doctoral Dissertation, Princeton University. Accessed January 17, 2020. http://arks.princeton.edu/ark:/88435/dsp019019s4717.

MLA Handbook (7th Edition):

Maksimov, Mikhail Olegovich. “Discovery and Engineering of Novel Lasso Peptides .” 2015. Web. 17 Jan 2020.

Vancouver:

Maksimov MO. Discovery and Engineering of Novel Lasso Peptides . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2020 Jan 17]. Available from: http://arks.princeton.edu/ark:/88435/dsp019019s4717.

Council of Science Editors:

Maksimov MO. Discovery and Engineering of Novel Lasso Peptides . [Doctoral Dissertation]. Princeton University; 2015. Available from: http://arks.princeton.edu/ark:/88435/dsp019019s4717


Case Western Reserve University

16. Younkin, Samuel G. The Linkage Disequilibrium LASSO for SNP Selection in Genetic Association Studies.

Degree: PhD, Epidemiology and Biostatistics, 2011, Case Western Reserve University

 A rapid increase in the number of human genetic variants available for study has led genetic epidemiologists to an agnostic approach to disease-gene mapping. In… (more)

Subjects/Keywords: Biostatistics; Epidemiology; Genetics; Statistics; LASSO; fused LASSO; Genetic Association; R; R package; Haplotype Block; LD; Linkage Disequilibrium; LD LASSO

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

APA (6th Edition):

Younkin, S. G. (2011). The Linkage Disequilibrium LASSO for SNP Selection in Genetic Association Studies. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1291219489

Chicago Manual of Style (16th Edition):

Younkin, Samuel G. “The Linkage Disequilibrium LASSO for SNP Selection in Genetic Association Studies.” 2011. Doctoral Dissertation, Case Western Reserve University. Accessed January 17, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1291219489.

MLA Handbook (7th Edition):

Younkin, Samuel G. “The Linkage Disequilibrium LASSO for SNP Selection in Genetic Association Studies.” 2011. Web. 17 Jan 2020.

Vancouver:

Younkin SG. The Linkage Disequilibrium LASSO for SNP Selection in Genetic Association Studies. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2011. [cited 2020 Jan 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1291219489.

Council of Science Editors:

Younkin SG. The Linkage Disequilibrium LASSO for SNP Selection in Genetic Association Studies. [Doctoral Dissertation]. Case Western Reserve University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1291219489


Texas A&M University

17. Goldsmith, Aaron Seth. LASSO Asymptotics For Heavy Tailed Errors.

Degree: 2015, Texas A&M University

We consider the asymptotic behavior of the l1 regularized least squares estimator (LASSO) for the linear regression model Y=X(beta)+xi with training data (X,Y) in RnxpxRn, true parameter beta in Rp, and observation noise xi in Rn. The LASSO estimator, defined by betahat in argminu in Rp||Xu-Y||2+lambda||u||1 introduces a bias toward 0 to encourage sparse estimates. LASSO has become a staple in the statistician?s breadbasket; it behaves very well and is quickly computed. In the case that xii are i.i.d. with E|xii|alpha<alphat}=t-alpha for some 1<alpha<2, Chatterjee and Lahiri found the exact rate, almost surely, for which the LASSO betahat tends to beta. We consider instead xi I that are i.i.d., possess all moments less than alpha, and eventually nearly follow a Pareto tail P{|xii|>t}=t-alpha Specifically, we only require that the tails of xii to be regularly varying. We center and scale both the quantity inside the arg min and betahat itself to prepare for a CLT. We find conditions that promise both convergence (uniformly over a class of designs X) of the quantity inside the arg min and uniform tightness of the centered, scaled bethahat. Then, we use a standard theorem to pass to uniform convergence of the centered, scaled betahat. Finally, we use a basic inequality to prove rate consistency for betahat when p is allowed to increase with n. Advisors/Committee Members: Zinn, Joel (advisor), Schlumprecht, Thomas (committee member), Rojas, Maurice (committee member), Mueller-Harknett, Ursula (committee member).

Subjects/Keywords: LASSO; Weak Convergence; Regular Variation; Heavy Tails

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APA (6th Edition):

Goldsmith, A. S. (2015). LASSO Asymptotics For Heavy Tailed Errors. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156229

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):

Goldsmith, Aaron Seth. “LASSO Asymptotics For Heavy Tailed Errors.” 2015. Thesis, Texas A&M University. Accessed January 17, 2020. http://hdl.handle.net/1969.1/156229.

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

MLA Handbook (7th Edition):

Goldsmith, Aaron Seth. “LASSO Asymptotics For Heavy Tailed Errors.” 2015. Web. 17 Jan 2020.

Vancouver:

Goldsmith AS. LASSO Asymptotics For Heavy Tailed Errors. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/1969.1/156229.

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

Council of Science Editors:

Goldsmith AS. LASSO Asymptotics For Heavy Tailed Errors. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156229

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


Texas A&M University

18. Noor, Amina. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.

Degree: 2012, Texas A&M University

 This thesis considers the problem of learning the structure of gene regulatory networks using gene expression time series data. A more realistic scenario where the… (more)

Subjects/Keywords: gene network modeling; particle filter; lasso

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APA (6th Edition):

Noor, A. (2012). Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860

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):

Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Thesis, Texas A&M University. Accessed January 17, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.

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

MLA Handbook (7th Edition):

Noor, Amina. “Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering.” 2012. Web. 17 Jan 2020.

Vancouver:

Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860.

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

Council of Science Editors:

Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860

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


University of Oslo

19. Bergersen, Linn Cecilie. Data Integration in Penalized Regression Models : with application to genomics.

Degree: 2009, University of Oslo

 New challenges within statistical sciences have arisen with the explosive growth of information. Classical methods are not designed for these kinds of problems and may… (more)

Subjects/Keywords: lasso mikromatrise data overlevelses analyse; VDP::412

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APA (6th Edition):

Bergersen, L. C. (2009). Data Integration in Penalized Regression Models : with application to genomics. (Thesis). University of Oslo. Retrieved from http://urn.nb.no/URN:NBN:no-23215 ; https://www.duo.uio.no/handle/10852/10831 ; Fulltext https://www.duo.uio.no/bitstream/handle/10852/10831/1/Masteroppgave.pdf

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):

Bergersen, Linn Cecilie. “Data Integration in Penalized Regression Models : with application to genomics.” 2009. Thesis, University of Oslo. Accessed January 17, 2020. http://urn.nb.no/URN:NBN:no-23215 ; https://www.duo.uio.no/handle/10852/10831 ; Fulltext https://www.duo.uio.no/bitstream/handle/10852/10831/1/Masteroppgave.pdf.

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

MLA Handbook (7th Edition):

Bergersen, Linn Cecilie. “Data Integration in Penalized Regression Models : with application to genomics.” 2009. Web. 17 Jan 2020.

Vancouver:

Bergersen LC. Data Integration in Penalized Regression Models : with application to genomics. [Internet] [Thesis]. University of Oslo; 2009. [cited 2020 Jan 17]. Available from: http://urn.nb.no/URN:NBN:no-23215 ; https://www.duo.uio.no/handle/10852/10831 ; Fulltext https://www.duo.uio.no/bitstream/handle/10852/10831/1/Masteroppgave.pdf.

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

Council of Science Editors:

Bergersen LC. Data Integration in Penalized Regression Models : with application to genomics. [Thesis]. University of Oslo; 2009. Available from: http://urn.nb.no/URN:NBN:no-23215 ; https://www.duo.uio.no/handle/10852/10831 ; Fulltext https://www.duo.uio.no/bitstream/handle/10852/10831/1/Masteroppgave.pdf

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


University of Minnesota

20. Feng, Yuanyuan. The effect of surgeon-scrub nurse collaboration on predicting operative times.

Degree: MS, Health Informatics, 2013, University of Minnesota

 Background: Operating room managers need to construct the surgery schedule for the next day by synthesizing information on estimated surgery duration, staff information, and surgeons'… (more)

Subjects/Keywords: Lasso; Operative time prediction; Surgical team collaboration

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APA (6th Edition):

Feng, Y. (2013). The effect of surgeon-scrub nurse collaboration on predicting operative times. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/162326

Chicago Manual of Style (16th Edition):

Feng, Yuanyuan. “The effect of surgeon-scrub nurse collaboration on predicting operative times.” 2013. Masters Thesis, University of Minnesota. Accessed January 17, 2020. http://hdl.handle.net/11299/162326.

MLA Handbook (7th Edition):

Feng, Yuanyuan. “The effect of surgeon-scrub nurse collaboration on predicting operative times.” 2013. Web. 17 Jan 2020.

Vancouver:

Feng Y. The effect of surgeon-scrub nurse collaboration on predicting operative times. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/11299/162326.

Council of Science Editors:

Feng Y. The effect of surgeon-scrub nurse collaboration on predicting operative times. [Masters Thesis]. University of Minnesota; 2013. Available from: http://hdl.handle.net/11299/162326


University of Florida

21. Moreno Meynard, Paulo Cesar. Individual-Tree Diameter Growth Models and Variability of Mixed Nothofagus Second Growth Forests in Southern Chile.

Degree: MS, Forest Resources and Conservation, 2017, University of Florida

 The second growth forests of Nothofagus obliqua (roble), N. alpina (rauli), and N. dombeyi (coihue), defined locally as RORACO forest type, is one of the… (more)

Subjects/Keywords: chile  – cross-validation  – growth  – lasso  – nothofagus  – pca

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APA (6th Edition):

Moreno Meynard, P. C. (2017). Individual-Tree Diameter Growth Models and Variability of Mixed Nothofagus Second Growth Forests in Southern Chile. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0051591

Chicago Manual of Style (16th Edition):

Moreno Meynard, Paulo Cesar. “Individual-Tree Diameter Growth Models and Variability of Mixed Nothofagus Second Growth Forests in Southern Chile.” 2017. Masters Thesis, University of Florida. Accessed January 17, 2020. http://ufdc.ufl.edu/UFE0051591.

MLA Handbook (7th Edition):

Moreno Meynard, Paulo Cesar. “Individual-Tree Diameter Growth Models and Variability of Mixed Nothofagus Second Growth Forests in Southern Chile.” 2017. Web. 17 Jan 2020.

Vancouver:

Moreno Meynard PC. Individual-Tree Diameter Growth Models and Variability of Mixed Nothofagus Second Growth Forests in Southern Chile. [Internet] [Masters thesis]. University of Florida; 2017. [cited 2020 Jan 17]. Available from: http://ufdc.ufl.edu/UFE0051591.

Council of Science Editors:

Moreno Meynard PC. Individual-Tree Diameter Growth Models and Variability of Mixed Nothofagus Second Growth Forests in Southern Chile. [Masters Thesis]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0051591


University of Notre Dame

22. Charles Laurin. Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>.

Degree: PhD, Psychology, 2014, University of Notre Dame

  Meta-analysis is an essential technique in psychiatric genomics. Heterogeneity of the effect sizes included in a meta-analysis can reduce its statistical power. Meta-regression provides… (more)

Subjects/Keywords: meta-regression; meta-analysis; lasso; shrinkage regression

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APA (6th Edition):

Laurin, C. (2014). Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/qj72p556n1d

Chicago Manual of Style (16th Edition):

Laurin, Charles. “Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>.” 2014. Doctoral Dissertation, University of Notre Dame. Accessed January 17, 2020. https://curate.nd.edu/show/qj72p556n1d.

MLA Handbook (7th Edition):

Laurin, Charles. “Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>.” 2014. Web. 17 Jan 2020.

Vancouver:

Laurin C. Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2014. [cited 2020 Jan 17]. Available from: https://curate.nd.edu/show/qj72p556n1d.

Council of Science Editors:

Laurin C. Lasso Meta-Regression and Its Application to Psychiatric Genomics</h1>. [Doctoral Dissertation]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/qj72p556n1d


University of Saskatchewan

23. Dong, Yue. A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.

Degree: 2016, University of Saskatchewan

 When modelling count data, it is possible to have excessive zeros in the data in many applications. My thesis concentrates on the variable selection in… (more)

Subjects/Keywords: Variable selection; Zero-inflated model; Bayesian LASSO

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APA (6th Edition):

Dong, Y. (2016). A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7313

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):

Dong, Yue. “A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.” 2016. Thesis, University of Saskatchewan. Accessed January 17, 2020. http://hdl.handle.net/10388/7313.

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

MLA Handbook (7th Edition):

Dong, Yue. “A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.” 2016. Web. 17 Jan 2020.

Vancouver:

Dong Y. A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/10388/7313.

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

Council of Science Editors:

Dong Y. A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/7313

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


University of Louisville

24. Zachary, Austin. Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism.

Degree: MS, 2018, University of Louisville

  Anxiety has shown to have a high co-occurrence in children with Autism Spectrum Disorder (ASD), but has been difficult to co-diagnose. This study analyzed… (more)

Subjects/Keywords: autism; anxiety; co-occurrence; LASSO; Epidemiology

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APA (6th Edition):

Zachary, A. (2018). Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/3093 ; https://ir.library.louisville.edu/etd/3093

Chicago Manual of Style (16th Edition):

Zachary, Austin. “Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism.” 2018. Masters Thesis, University of Louisville. Accessed January 17, 2020. 10.18297/etd/3093 ; https://ir.library.louisville.edu/etd/3093.

MLA Handbook (7th Edition):

Zachary, Austin. “Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism.” 2018. Web. 17 Jan 2020.

Vancouver:

Zachary A. Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism. [Internet] [Masters thesis]. University of Louisville; 2018. [cited 2020 Jan 17]. Available from: 10.18297/etd/3093 ; https://ir.library.louisville.edu/etd/3093.

Council of Science Editors:

Zachary A. Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism. [Masters Thesis]. University of Louisville; 2018. Available from: 10.18297/etd/3093 ; https://ir.library.louisville.edu/etd/3093


Delft University of Technology

25. Meijer, R.J. Efficient approximate leave-one-out cross-validation for ridge and lasso:.

Degree: 2010, Delft University of Technology

 In this thesis an approximation method is discussed that provides similar results to leave-one-out cross-validation but is less time-consuming. By means of this approximation method,… (more)

Subjects/Keywords: cross-validation; ridge; lasso; approximation method

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APA (6th Edition):

Meijer, R. J. (2010). Efficient approximate leave-one-out cross-validation for ridge and lasso:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d9b5456d-722a-401d-9f1a-c530c46d6491

Chicago Manual of Style (16th Edition):

Meijer, R J. “Efficient approximate leave-one-out cross-validation for ridge and lasso:.” 2010. Masters Thesis, Delft University of Technology. Accessed January 17, 2020. http://resolver.tudelft.nl/uuid:d9b5456d-722a-401d-9f1a-c530c46d6491.

MLA Handbook (7th Edition):

Meijer, R J. “Efficient approximate leave-one-out cross-validation for ridge and lasso:.” 2010. Web. 17 Jan 2020.

Vancouver:

Meijer RJ. Efficient approximate leave-one-out cross-validation for ridge and lasso:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2020 Jan 17]. Available from: http://resolver.tudelft.nl/uuid:d9b5456d-722a-401d-9f1a-c530c46d6491.

Council of Science Editors:

Meijer RJ. Efficient approximate leave-one-out cross-validation for ridge and lasso:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:d9b5456d-722a-401d-9f1a-c530c46d6491

26. HU XIAOLI. Subset selection in regression model.

Degree: 2007, National University of Singapore

Subjects/Keywords: LASSO; variable selection

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APA (6th Edition):

XIAOLI, H. (2007). Subset selection in regression model. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/16159

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):

XIAOLI, HU. “Subset selection in regression model.” 2007. Thesis, National University of Singapore. Accessed January 17, 2020. http://scholarbank.nus.edu.sg/handle/10635/16159.

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

MLA Handbook (7th Edition):

XIAOLI, HU. “Subset selection in regression model.” 2007. Web. 17 Jan 2020.

Vancouver:

XIAOLI H. Subset selection in regression model. [Internet] [Thesis]. National University of Singapore; 2007. [cited 2020 Jan 17]. Available from: http://scholarbank.nus.edu.sg/handle/10635/16159.

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

Council of Science Editors:

XIAOLI H. Subset selection in regression model. [Thesis]. National University of Singapore; 2007. Available from: http://scholarbank.nus.edu.sg/handle/10635/16159

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


University of Waterloo

27. Wang, Bo. Variable Ranking by Solution-path Algorithms.

Degree: 2012, University of Waterloo

 Variable Selection has always been a very important problem in statistics. We often meet situations where a huge data set is given and we want… (more)

Subjects/Keywords: Lasso; LARS; Variable Ranking; Solution path

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APA (6th Edition):

Wang, B. (2012). Variable Ranking by Solution-path Algorithms. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6496

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):

Wang, Bo. “Variable Ranking by Solution-path Algorithms.” 2012. Thesis, University of Waterloo. Accessed January 17, 2020. http://hdl.handle.net/10012/6496.

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

MLA Handbook (7th Edition):

Wang, Bo. “Variable Ranking by Solution-path Algorithms.” 2012. Web. 17 Jan 2020.

Vancouver:

Wang B. Variable Ranking by Solution-path Algorithms. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/10012/6496.

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

Council of Science Editors:

Wang B. Variable Ranking by Solution-path Algorithms. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6496

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


University of Louisville

28. Hettigoda, Sandamala. Computation of Least Angle Regression coefficient profiles and LASSO estimates.

Degree: MA, 2016, University of Louisville

  Variable selection plays a significant role in statistics. There are many variable selection methods. Forward stagewise regression takes a different approach among those. In… (more)

Subjects/Keywords: LARS; LASSO; Physical Sciences and Mathematics

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APA (6th Edition):

Hettigoda, S. (2016). Computation of Least Angle Regression coefficient profiles and LASSO estimates. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2404 ; https://ir.library.louisville.edu/etd/2404

Chicago Manual of Style (16th Edition):

Hettigoda, Sandamala. “Computation of Least Angle Regression coefficient profiles and LASSO estimates.” 2016. Masters Thesis, University of Louisville. Accessed January 17, 2020. 10.18297/etd/2404 ; https://ir.library.louisville.edu/etd/2404.

MLA Handbook (7th Edition):

Hettigoda, Sandamala. “Computation of Least Angle Regression coefficient profiles and LASSO estimates.” 2016. Web. 17 Jan 2020.

Vancouver:

Hettigoda S. Computation of Least Angle Regression coefficient profiles and LASSO estimates. [Internet] [Masters thesis]. University of Louisville; 2016. [cited 2020 Jan 17]. Available from: 10.18297/etd/2404 ; https://ir.library.louisville.edu/etd/2404.

Council of Science Editors:

Hettigoda S. Computation of Least Angle Regression coefficient profiles and LASSO estimates. [Masters Thesis]. University of Louisville; 2016. Available from: 10.18297/etd/2404 ; https://ir.library.louisville.edu/etd/2404


University of Illinois – Chicago

29. Shi, Yaru. Estimation of Total Effect of Selected Variables on an Outcome in Presence of Numerous Weak Effects.

Degree: 2018, University of Illinois – Chicago

 Estimation of the total effect of a set of selected variables in high-dimensional linear model under sparsity assumption is complex due to the selection bias.… (more)

Subjects/Keywords: Bootstrapping; Heritability; Lasso; Linear mixed model; Subsampling

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APA (6th Edition):

Shi, Y. (2018). Estimation of Total Effect of Selected Variables on an Outcome in Presence of Numerous Weak Effects. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22961

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):

Shi, Yaru. “Estimation of Total Effect of Selected Variables on an Outcome in Presence of Numerous Weak Effects.” 2018. Thesis, University of Illinois – Chicago. Accessed January 17, 2020. http://hdl.handle.net/10027/22961.

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

MLA Handbook (7th Edition):

Shi, Yaru. “Estimation of Total Effect of Selected Variables on an Outcome in Presence of Numerous Weak Effects.” 2018. Web. 17 Jan 2020.

Vancouver:

Shi Y. Estimation of Total Effect of Selected Variables on an Outcome in Presence of Numerous Weak Effects. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2020 Jan 17]. Available from: http://hdl.handle.net/10027/22961.

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

Council of Science Editors:

Shi Y. Estimation of Total Effect of Selected Variables on an Outcome in Presence of Numerous Weak Effects. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/22961

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


Princeton University

30. Piscotta, Frank J. DISCOVERY OF THE ParST TOXIN-ANTITOXIN SYSTEM AND ITS PUTATIVE ROLE IN DISRUPTING NUCLEOTIDE METABOLISM .

Degree: PhD, 2018, Princeton University

 Toxin-antitoxin (TA) systems are two-component operons that control cell growth, bacteriostasis, and death and have been implicated in important clinical issues such as biofilm formation… (more)

Subjects/Keywords: ADP-ribosylation; Isopeptidase; Lasso peptide; Toxin-antitoxin

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

APA (6th Edition):

Piscotta, F. J. (2018). DISCOVERY OF THE ParST TOXIN-ANTITOXIN SYSTEM AND ITS PUTATIVE ROLE IN DISRUPTING NUCLEOTIDE METABOLISM . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01wp988n57s

Chicago Manual of Style (16th Edition):

Piscotta, Frank J. “DISCOVERY OF THE ParST TOXIN-ANTITOXIN SYSTEM AND ITS PUTATIVE ROLE IN DISRUPTING NUCLEOTIDE METABOLISM .” 2018. Doctoral Dissertation, Princeton University. Accessed January 17, 2020. http://arks.princeton.edu/ark:/88435/dsp01wp988n57s.

MLA Handbook (7th Edition):

Piscotta, Frank J. “DISCOVERY OF THE ParST TOXIN-ANTITOXIN SYSTEM AND ITS PUTATIVE ROLE IN DISRUPTING NUCLEOTIDE METABOLISM .” 2018. Web. 17 Jan 2020.

Vancouver:

Piscotta FJ. DISCOVERY OF THE ParST TOXIN-ANTITOXIN SYSTEM AND ITS PUTATIVE ROLE IN DISRUPTING NUCLEOTIDE METABOLISM . [Internet] [Doctoral dissertation]. Princeton University; 2018. [cited 2020 Jan 17]. Available from: http://arks.princeton.edu/ark:/88435/dsp01wp988n57s.

Council of Science Editors:

Piscotta FJ. DISCOVERY OF THE ParST TOXIN-ANTITOXIN SYSTEM AND ITS PUTATIVE ROLE IN DISRUPTING NUCLEOTIDE METABOLISM . [Doctoral Dissertation]. Princeton University; 2018. Available from: http://arks.princeton.edu/ark:/88435/dsp01wp988n57s

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