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- 2011 – 2015 (126)
- 2006 – 2010 (35)

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- Statistics (40)
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- MS (32)
- Docteur es (21)

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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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1164135815

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://purl.galileo.usg.edu/uga_etd/qiu_junshan_200812_phd

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-175435

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://resolver.tudelft.nl/uuid:09903120-2d84-45af-aa61-4ec3c1d1c5a3

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/11124/170033

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://arks.princeton.edu/ark:/88435/dsp01bc386n013

► *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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://curate.nd.edu/show/pv63fx73n73

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://etda.libraries.psu.edu/catalog/23710

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-200807

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06182018-094706/ ;

► 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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://repository.asu.edu/items/34801

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://arks.princeton.edu/ark:/88435/dsp01ht24wm91g

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2152/63067

► 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.

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://bura.brunel.ac.uk/handle/2438/7727 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582920

► 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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://arks.princeton.edu/ark:/88435/dsp019019s4717

► *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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1291219489

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1969.1/156229

We consider the asymptotic behavior of the l^{1} regularized least squares estimator (LASSO) for the linear regression model
Y=X(beta)+xi
with training data (X,Y) in R^{nxp}xR^{n}, true parameter beta in R^{p}, and observation noise xi in R^{n}. The LASSO estimator, defined by
betahat in argmin_{u 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 xi_{i} are i.i.d. with E|xi_{i}|^{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{|xi_{i}|>t}=t^{-alpha} Specifically, we only require that the tails of xi_{i} 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9860

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: 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

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/11299/162326

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0051591

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://curate.nd.edu/show/qj72p556n1d

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10388/7313

► 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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: 10.18297/etd/3093 ; https://ir.library.louisville.edu/etd/3093

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://resolver.tudelft.nl/uuid:d9b5456d-722a-401d-9f1a-c530c46d6491

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://scholarbank.nus.edu.sg/handle/10635/16159

Subjects/Keywords: LASSO; variable selection

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

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

Degree: 2012, University of Waterloo

URL: http://hdl.handle.net/10012/6496

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: 10.18297/etd/2404 ; https://ir.library.louisville.edu/etd/2404

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10027/22961

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://arks.princeton.edu/ark:/88435/dsp01wp988n57s

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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