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You searched for subject:(lasso). Showing records 1 – 30 of 271 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 June 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1164135815.

MLA Handbook (7th Edition):

Xing, Guan. “LASSOING MIXTURES AND BAYESIAN ROBUST ESTIMATION.” 2007. Web. 16 Jun 2019.

Vancouver:

Xing G. LASSOING MIXTURES AND BAYESIAN ROBUST ESTIMATION. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2007. [cited 2019 Jun 16]. 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 June 16, 2019. http://purl.galileo.usg.edu/uga_etd/qiu_junshan_200812_phd.

MLA Handbook (7th Edition):

Qiu, Junshan. “Variable selection methods with applications.” 2008. Web. 16 Jun 2019.

Vancouver:

Qiu J. Variable selection methods with applications. [Internet] [Doctoral dissertation]. University of Georgia; 2008. [cited 2019 Jun 16]. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Yang B. A two-stage financial network model. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Jun 16]. 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 June 16, 2019. 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. 16 Jun 2019.

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 2019 Jun 16]. 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 June 16, 2019. 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. 16 Jun 2019.

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 2019 Jun 16]. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Koos JD. INVESTIGATION OF THE MATURATION AND DEGRADATION OF LASSO PEPTIDES THROUGH IN VITRO STUDIES . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2019 Jun 16]. 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


Penn State University

7. 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 June 16, 2019. https://etda.libraries.psu.edu/catalog/23710.

MLA Handbook (7th Edition):

Tutuk, Fatih. “Sparse Linear Time Invariant System Identification Using Weighted Lasso.” 2014. Web. 16 Jun 2019.

Vancouver:

Tutuk F. Sparse Linear Time Invariant System Identification Using Weighted Lasso. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Jun 16]. 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

8. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Huang S. A study on network modeling with grouping structure among its nodes. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Jun 16]. 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


Arizona State University

9. 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 June 16, 2019. 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. 16 Jun 2019.

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 2019 Jun 16]. 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


University of Victoria

10. AlNasser, Hassan. On ridge regression and least absolute shrinkage and selection operator.

Degree: Department of Mathematics and Statistics, 2017, University of Victoria

 This thesis focuses on ridge regression (RR) and least absolute shrinkage and selection operator (lasso). Ridge properties are being investigated in great detail which include… (more)

Subjects/Keywords: LASSO; Ridge Regression; Bilevel Optimization

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APA (6th Edition):

AlNasser, H. (2017). On ridge regression and least absolute shrinkage and selection operator. (Masters Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/8499

Chicago Manual of Style (16th Edition):

AlNasser, Hassan. “On ridge regression and least absolute shrinkage and selection operator.” 2017. Masters Thesis, University of Victoria. Accessed June 16, 2019. https://dspace.library.uvic.ca//handle/1828/8499.

MLA Handbook (7th Edition):

AlNasser, Hassan. “On ridge regression and least absolute shrinkage and selection operator.” 2017. Web. 16 Jun 2019.

Vancouver:

AlNasser H. On ridge regression and least absolute shrinkage and selection operator. [Internet] [Masters thesis]. University of Victoria; 2017. [cited 2019 Jun 16]. Available from: https://dspace.library.uvic.ca//handle/1828/8499.

Council of Science Editors:

AlNasser H. On ridge regression and least absolute shrinkage and selection operator. [Masters Thesis]. University of Victoria; 2017. Available from: https://dspace.library.uvic.ca//handle/1828/8499


Mississippi State University

11. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Phillips KL. An application of ridge regression and LASSO methods for model selection. [Internet] [Masters thesis]. Mississippi State University; 2018. [cited 2019 Jun 16]. 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/ ;


University of Texas – Austin

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

Degree: 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. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63067

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):

Madrid Padilla, Oscar Hernan. “Constrained estimation via the fused lasso and some generalizations.” 2017. Thesis, University of Texas – Austin. Accessed June 16, 2019. http://hdl.handle.net/2152/63067.

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

MLA Handbook (7th Edition):

Madrid Padilla, Oscar Hernan. “Constrained estimation via the fused lasso and some generalizations.” 2017. Web. 16 Jun 2019.

Vancouver:

Madrid Padilla OH. Constrained estimation via the fused lasso and some generalizations. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2152/63067.

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

Council of Science Editors:

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

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


Princeton University

13. 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 June 16, 2019. http://arks.princeton.edu/ark:/88435/dsp01ht24wm91g.

MLA Handbook (7th Edition):

Allen, Caitlin D. “Engineering and Unraveling Lasso Peptide Topologies .” 2016. Web. 16 Jun 2019.

Vancouver:

Allen CD. Engineering and Unraveling Lasso Peptide Topologies . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2019 Jun 16]. 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


University of Notre Dame

14. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Chen W. Penalized Methods and Their Applications to Genetic Research and Economic Forecasting</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2015. [cited 2019 Jun 16]. 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


Brunel University

15. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Al-Kenani AJK. Some statistical methods for dimension reduction. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2019 Jun 16]. 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

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

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 June 16, 2019. http://arks.princeton.edu/ark:/88435/dsp019019s4717.

MLA Handbook (7th Edition):

Maksimov, Mikhail Olegovich. “Discovery and Engineering of Novel Lasso Peptides .” 2015. Web. 16 Jun 2019.

Vancouver:

Maksimov MO. Discovery and Engineering of Novel Lasso Peptides . [Internet] [Doctoral dissertation]. Princeton University; 2015. [cited 2019 Jun 16]. 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


Georgia Tech

17. Ruan, Lingyan. Statistical analysis of high dimensional data.

Degree: PhD, Industrial and Systems Engineering, 2010, Georgia Tech

 This century is surely the century of data (Donoho, 2000). Data analysis has been an emerging activity over the last few decades. High dimensional data… (more)

Subjects/Keywords: Group lasso; Hierarchical lasso; Lasso; Microarrays; Covariance matrix; Gaussian mixture models; Joint analysis; Statistics; Analysis of covariance

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APA (6th Edition):

Ruan, L. (2010). Statistical analysis of high dimensional data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37135

Chicago Manual of Style (16th Edition):

Ruan, Lingyan. “Statistical analysis of high dimensional data.” 2010. Doctoral Dissertation, Georgia Tech. Accessed June 16, 2019. http://hdl.handle.net/1853/37135.

MLA Handbook (7th Edition):

Ruan, Lingyan. “Statistical analysis of high dimensional data.” 2010. Web. 16 Jun 2019.

Vancouver:

Ruan L. Statistical analysis of high dimensional data. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1853/37135.

Council of Science Editors:

Ruan L. Statistical analysis of high dimensional data. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37135


Case Western Reserve University

18. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Younkin SG. The Linkage Disequilibrium LASSO for SNP Selection in Genetic Association Studies. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2011. [cited 2019 Jun 16]. 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

19. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Goldsmith AS. LASSO Asymptotics For Heavy Tailed Errors. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 Jun 16]. 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

20. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Noor A. Modeling Gene Regulatory Networks from Time Series Data using Particle Filtering. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Jun 16]. 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


Georgia State University

21. Johnson, Nicholas. Modeling Non-Linear Relationships Between DNA Methylation And Age: The Application of Regularization Methods To Predict Human Age And The Implication Of DNA Methylation In Immunosenescence.

Degree: MPH, Public Health, 2016, Georgia State University

  Background: Gene expression is regulated via highly coordinated epigenetic changes, the most studied of which is DNA methylation (DNAm). Many studies have shown that… (more)

Subjects/Keywords: methylation; epigenetics; aging; lasso; genome; age

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APA (6th Edition):

Johnson, N. (2016). Modeling Non-Linear Relationships Between DNA Methylation And Age: The Application of Regularization Methods To Predict Human Age And The Implication Of DNA Methylation In Immunosenescence. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/iph_theses/473

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):

Johnson, Nicholas. “Modeling Non-Linear Relationships Between DNA Methylation And Age: The Application of Regularization Methods To Predict Human Age And The Implication Of DNA Methylation In Immunosenescence.” 2016. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/iph_theses/473.

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

MLA Handbook (7th Edition):

Johnson, Nicholas. “Modeling Non-Linear Relationships Between DNA Methylation And Age: The Application of Regularization Methods To Predict Human Age And The Implication Of DNA Methylation In Immunosenescence.” 2016. Web. 16 Jun 2019.

Vancouver:

Johnson N. Modeling Non-Linear Relationships Between DNA Methylation And Age: The Application of Regularization Methods To Predict Human Age And The Implication Of DNA Methylation In Immunosenescence. [Internet] [Thesis]. Georgia State University; 2016. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/iph_theses/473.

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

Council of Science Editors:

Johnson N. Modeling Non-Linear Relationships Between DNA Methylation And Age: The Application of Regularization Methods To Predict Human Age And The Implication Of DNA Methylation In Immunosenescence. [Thesis]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/iph_theses/473

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


Georgia Tech

22. Patnaik, Kaushik. Adaptive learning in lasso models.

Degree: MS, Computer Science, 2015, Georgia Tech

 Regression with L1-regularization, Lasso, is a popular algorithm for recovering the sparsity pattern (also known as model selection) in linear models from observations contaminated by… (more)

Subjects/Keywords: Lasso; L1 regression; Adaptive methods; Active learning

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APA (6th Edition):

Patnaik, K. (2015). Adaptive learning in lasso models. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54353

Chicago Manual of Style (16th Edition):

Patnaik, Kaushik. “Adaptive learning in lasso models.” 2015. Masters Thesis, Georgia Tech. Accessed June 16, 2019. http://hdl.handle.net/1853/54353.

MLA Handbook (7th Edition):

Patnaik, Kaushik. “Adaptive learning in lasso models.” 2015. Web. 16 Jun 2019.

Vancouver:

Patnaik K. Adaptive learning in lasso models. [Internet] [Masters thesis]. Georgia Tech; 2015. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/1853/54353.

Council of Science Editors:

Patnaik K. Adaptive learning in lasso models. [Masters Thesis]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54353


University of Oslo

23. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Bergersen LC. Data Integration in Penalized Regression Models : with application to genomics. [Internet] [Thesis]. University of Oslo; 2009. [cited 2019 Jun 16]. 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 Saskatchewan

24. 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 June 16, 2019. 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. 16 Jun 2019.

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 2019 Jun 16]. 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


Clemson University

25. Plumpton, Hannah. Black Scoter (<i>Melanitta americana</i>) Winter Habitat Use and Movement Patterns Along the Atlantic Coast of the United States.

Degree: MS, Forestry and Environmental Conservation, 2018, Clemson University

  While the Atlantic coast of the United States and Canada is a major wintering area for sea ducks, habitat use and movement patterns of… (more)

Subjects/Keywords: Atlantic; Black Scoter; Habitat Use; Lasso; Movement

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APA (6th Edition):

Plumpton, H. (2018). Black Scoter (<i>Melanitta americana</i>) Winter Habitat Use and Movement Patterns Along the Atlantic Coast of the United States. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2915

Chicago Manual of Style (16th Edition):

Plumpton, Hannah. “Black Scoter (<i>Melanitta americana</i>) Winter Habitat Use and Movement Patterns Along the Atlantic Coast of the United States.” 2018. Masters Thesis, Clemson University. Accessed June 16, 2019. https://tigerprints.clemson.edu/all_theses/2915.

MLA Handbook (7th Edition):

Plumpton, Hannah. “Black Scoter (<i>Melanitta americana</i>) Winter Habitat Use and Movement Patterns Along the Atlantic Coast of the United States.” 2018. Web. 16 Jun 2019.

Vancouver:

Plumpton H. Black Scoter (<i>Melanitta americana</i>) Winter Habitat Use and Movement Patterns Along the Atlantic Coast of the United States. [Internet] [Masters thesis]. Clemson University; 2018. [cited 2019 Jun 16]. Available from: https://tigerprints.clemson.edu/all_theses/2915.

Council of Science Editors:

Plumpton H. Black Scoter (<i>Melanitta americana</i>) Winter Habitat Use and Movement Patterns Along the Atlantic Coast of the United States. [Masters Thesis]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_theses/2915

26. Temme, Diane. Orlando di Lasso's psalm settings : an examination of genre in late sixteenth-century psalm motets and German Leider.

Degree: PhD, 2019, Bangor University

Lasso was considered the greatest composer of his generation with undisputable mastery of all sixteenth-century genres. The dynamism of the late sixteenth century saw the… (more)

Subjects/Keywords: psalms; Orlando di Lasso; Renaissance music

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APA (6th Edition):

Temme, D. (2019). Orlando di Lasso's psalm settings : an examination of genre in late sixteenth-century psalm motets and German Leider. (Doctoral Dissertation). Bangor University. Retrieved from https://research.bangor.ac.uk/portal/en/theses/orlando-di-lassos-psalm-settings(734d892f-f377-4279-bda2-2b6315cbb6a1).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767443

Chicago Manual of Style (16th Edition):

Temme, Diane. “Orlando di Lasso's psalm settings : an examination of genre in late sixteenth-century psalm motets and German Leider.” 2019. Doctoral Dissertation, Bangor University. Accessed June 16, 2019. https://research.bangor.ac.uk/portal/en/theses/orlando-di-lassos-psalm-settings(734d892f-f377-4279-bda2-2b6315cbb6a1).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767443.

MLA Handbook (7th Edition):

Temme, Diane. “Orlando di Lasso's psalm settings : an examination of genre in late sixteenth-century psalm motets and German Leider.” 2019. Web. 16 Jun 2019.

Vancouver:

Temme D. Orlando di Lasso's psalm settings : an examination of genre in late sixteenth-century psalm motets and German Leider. [Internet] [Doctoral dissertation]. Bangor University; 2019. [cited 2019 Jun 16]. Available from: https://research.bangor.ac.uk/portal/en/theses/orlando-di-lassos-psalm-settings(734d892f-f377-4279-bda2-2b6315cbb6a1).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767443.

Council of Science Editors:

Temme D. Orlando di Lasso's psalm settings : an examination of genre in late sixteenth-century psalm motets and German Leider. [Doctoral Dissertation]. Bangor University; 2019. Available from: https://research.bangor.ac.uk/portal/en/theses/orlando-di-lassos-psalm-settings(734d892f-f377-4279-bda2-2b6315cbb6a1).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767443


University of Louisville

27. 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 June 16, 2019. 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. 16 Jun 2019.

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 2019 Jun 16]. 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


University of Waterloo

28. 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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Wang B. Variable Ranking by Solution-path Algorithms. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2019 Jun 16]. 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


Delft University of Technology

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

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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Meijer RJ. Efficient approximate leave-one-out cross-validation for ridge and lasso:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2019 Jun 16]. 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


University of Minnesota

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

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 June 16, 2019. 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. 16 Jun 2019.

Vancouver:

Feng Y. The effect of surgeon-scrub nurse collaboration on predicting operative times. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2019 Jun 16]. 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

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