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University of Saskatchewan

1.
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

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):

Dong, Yue. “A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.” 2016. Thesis, University of Saskatchewan. Accessed March 20, 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 (7^{th} Edition):

Dong, Yue. “A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.” 2016. Web. 20 Mar 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 Mar 20]. 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

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

2.
Li, Jiahan.
THE *BAYESIAN* *LASSO*, *BAYESIAN* SCAD AND *BAYESIAN* GROUP *LASSO*
WITH APPLICATIONS TO GENOME-WIDE ASSOCIATION STUDIES.

Degree: PhD, Statistics, 2011, Penn State University

URL: https://etda.libraries.psu.edu/catalog/12143

► Recently, genome-wide association studies (GWAS) have successfully identified genes that may affect complex traits or diseases. However, the standard statistical tests for each single-nucleotide polymorphism…
(more)

Subjects/Keywords: lasso; variable selection; Bayesian approach; high-dimensional data

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APA (6^{th} Edition):

Li, J. (2011). THE BAYESIAN LASSO, BAYESIAN SCAD AND BAYESIAN GROUP LASSO WITH APPLICATIONS TO GENOME-WIDE ASSOCIATION STUDIES. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12143

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

Li, Jiahan. “THE BAYESIAN LASSO, BAYESIAN SCAD AND BAYESIAN GROUP LASSO WITH APPLICATIONS TO GENOME-WIDE ASSOCIATION STUDIES.” 2011. Doctoral Dissertation, Penn State University. Accessed March 20, 2019. https://etda.libraries.psu.edu/catalog/12143.

MLA Handbook (7^{th} Edition):

Li, Jiahan. “THE BAYESIAN LASSO, BAYESIAN SCAD AND BAYESIAN GROUP LASSO WITH APPLICATIONS TO GENOME-WIDE ASSOCIATION STUDIES.” 2011. Web. 20 Mar 2019.

Vancouver:

Li J. THE BAYESIAN LASSO, BAYESIAN SCAD AND BAYESIAN GROUP LASSO WITH APPLICATIONS TO GENOME-WIDE ASSOCIATION STUDIES. [Internet] [Doctoral dissertation]. Penn State University; 2011. [cited 2019 Mar 20]. Available from: https://etda.libraries.psu.edu/catalog/12143.

Council of Science Editors:

Li J. THE BAYESIAN LASSO, BAYESIAN SCAD AND BAYESIAN GROUP LASSO WITH APPLICATIONS TO GENOME-WIDE ASSOCIATION STUDIES. [Doctoral Dissertation]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/12143

University of Rochester

3.
Liu, Chang.
* Bayesian* Semiparametric Measurement Error Models:
Estimation, Variable Selection and Fast Algorithms.

Degree: PhD, 2017, University of Rochester

URL: http://hdl.handle.net/1802/32916

► This thesis presents *Bayesian* estimation, variable selection and fast algorithms for semiparametric measurement error models. We will extend the existing *Bayesian* estimation procedures for measurement…
(more)

Subjects/Keywords: Semiparametric measurement error model; Bayesian penalized splines; Heteroscedastic regression errors; Dirichlet process mixture models; Bayesian LASSO; Bayesian group LASSO; Mean field variational Bayes approximation

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APA (6^{th} Edition):

Liu, C. (2017). Bayesian Semiparametric Measurement Error Models: Estimation, Variable Selection and Fast Algorithms. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/32916

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

Liu, Chang. “Bayesian Semiparametric Measurement Error Models: Estimation, Variable Selection and Fast Algorithms.” 2017. Doctoral Dissertation, University of Rochester. Accessed March 20, 2019. http://hdl.handle.net/1802/32916.

MLA Handbook (7^{th} Edition):

Liu, Chang. “Bayesian Semiparametric Measurement Error Models: Estimation, Variable Selection and Fast Algorithms.” 2017. Web. 20 Mar 2019.

Vancouver:

Liu C. Bayesian Semiparametric Measurement Error Models: Estimation, Variable Selection and Fast Algorithms. [Internet] [Doctoral dissertation]. University of Rochester; 2017. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1802/32916.

Council of Science Editors:

Liu C. Bayesian Semiparametric Measurement Error Models: Estimation, Variable Selection and Fast Algorithms. [Doctoral Dissertation]. University of Rochester; 2017. Available from: http://hdl.handle.net/1802/32916

4. Fragoso, Tiago de Miranda. Seleção bayesiana de variáveis em modelos multiníveis da teoria de resposta ao item com aplicações em genômica.

Degree: PhD, Estatística, 2014, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14112014-110028/ ;

►

As investigações sobre as bases genéticas de doenças complexas em Genômica utilizam diversos tipos de informação. Diversos sintomas são avaliados de maneira a diagnosticar a… (more)

Subjects/Keywords: Bayesian LASSO; busca estocástica; item response theory; LASSO bayesiano; stochastic search variable selection; teoria da resposta ao item

Record Details Similar Records

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

APA (6^{th} Edition):

Fragoso, T. d. M. (2014). Seleção bayesiana de variáveis em modelos multiníveis da teoria de resposta ao item com aplicações em genômica. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14112014-110028/ ;

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

Fragoso, Tiago de Miranda. “Seleção bayesiana de variáveis em modelos multiníveis da teoria de resposta ao item com aplicações em genômica.” 2014. Doctoral Dissertation, University of São Paulo. Accessed March 20, 2019. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14112014-110028/ ;.

MLA Handbook (7^{th} Edition):

Fragoso, Tiago de Miranda. “Seleção bayesiana de variáveis em modelos multiníveis da teoria de resposta ao item com aplicações em genômica.” 2014. Web. 20 Mar 2019.

Vancouver:

Fragoso TdM. Seleção bayesiana de variáveis em modelos multiníveis da teoria de resposta ao item com aplicações em genômica. [Internet] [Doctoral dissertation]. University of São Paulo; 2014. [cited 2019 Mar 20]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14112014-110028/ ;.

Council of Science Editors:

Fragoso TdM. Seleção bayesiana de variáveis em modelos multiníveis da teoria de resposta ao item com aplicações em genômica. [Doctoral Dissertation]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14112014-110028/ ;

Universidade Federal de Viçosa

5. André Marubayashi Hidalgo. Mapeamento fino e estimação dos efeitos de polimorfismos de base única nos cromossomos suínos 1, 4, 7, 8, 17 e X.

Degree: 2011, Universidade Federal de Viçosa

URL: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3412

►

Mapeamento de loci de caracaterística quantitativas (QTL) geralmente resultam na detecção de regiões genômicas que explicam parte da variação quantitativa da característica. Entretanto essas regiões… (more)

Subjects/Keywords: Lasso Bayesiano; Raça Piau; Genética do porco; QTL; GENETICA E MELHORAMENTO DOS ANIMAIS DOMESTICOS; Bayesian Lasso; Piau breed; Pig genetics; QTL

Record Details Similar Records

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

APA (6^{th} Edition):

Hidalgo, A. M. (2011). Mapeamento fino e estimação dos efeitos de polimorfismos de base única nos cromossomos suínos 1, 4, 7, 8, 17 e X. (Thesis). Universidade Federal de Viçosa. Retrieved from http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3412

Not specified: Masters Thesis or Doctoral Dissertation

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

Hidalgo, André Marubayashi. “Mapeamento fino e estimação dos efeitos de polimorfismos de base única nos cromossomos suínos 1, 4, 7, 8, 17 e X.” 2011. Thesis, Universidade Federal de Viçosa. Accessed March 20, 2019. http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3412.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hidalgo, André Marubayashi. “Mapeamento fino e estimação dos efeitos de polimorfismos de base única nos cromossomos suínos 1, 4, 7, 8, 17 e X.” 2011. Web. 20 Mar 2019.

Vancouver:

Hidalgo AM. Mapeamento fino e estimação dos efeitos de polimorfismos de base única nos cromossomos suínos 1, 4, 7, 8, 17 e X. [Internet] [Thesis]. Universidade Federal de Viçosa; 2011. [cited 2019 Mar 20]. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3412.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hidalgo AM. Mapeamento fino e estimação dos efeitos de polimorfismos de base única nos cromossomos suínos 1, 4, 7, 8, 17 e X. [Thesis]. Universidade Federal de Viçosa; 2011. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3412

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

6. Koch, Brandon Lee. Statistical Methods for Variable Selection in Causal Inference.

Degree: PhD, Biostatistics, 2018, University of Minnesota

URL: http://hdl.handle.net/11299/200318

► Estimating the causal effect of a binary intervention or action (referred to as a "treatment") on a continuous outcome is often an investigator's primary goal.…
(more)

Subjects/Keywords: Bayesian methods; Causal inference; Group lasso; High dimensional data; Treatment effect; 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):

Koch, B. L. (2018). Statistical Methods for Variable Selection in Causal Inference. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/200318

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

Koch, Brandon Lee. “Statistical Methods for Variable Selection in Causal Inference.” 2018. Doctoral Dissertation, University of Minnesota. Accessed March 20, 2019. http://hdl.handle.net/11299/200318.

MLA Handbook (7^{th} Edition):

Koch, Brandon Lee. “Statistical Methods for Variable Selection in Causal Inference.” 2018. Web. 20 Mar 2019.

Vancouver:

Koch BL. Statistical Methods for Variable Selection in Causal Inference. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/11299/200318.

Council of Science Editors:

Koch BL. Statistical Methods for Variable Selection in Causal Inference. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/200318

University of Florida

7.
Chandran,Manu.
Analysis of *Bayesian* Group-*Lasso* in Regression Models.

Degree: MS, Electrical and Computer Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043490

► The Group-*Lasso* estimator, used in regression analysis, does not calculate the variance estimates of regression coefficients. Such estimates are important, since they represent the confidence…
(more)

Subjects/Keywords: Datasets; Error rates; Group size; Group structure; Linear regression; Machine learning; Mathematical variables; Parametric models; Regression analysis; Statistical discrepancies; bayesian – feature – group – lasso – selection

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

APA (6^{th} Edition):

Chandran,Manu. (2011). Analysis of Bayesian Group-Lasso in Regression Models. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043490

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

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

Chandran,Manu. “Analysis of Bayesian Group-Lasso in Regression Models.” 2011. Masters Thesis, University of Florida. Accessed March 20, 2019. http://ufdc.ufl.edu/UFE0043490.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

MLA Handbook (7^{th} Edition):

Chandran,Manu. “Analysis of Bayesian Group-Lasso in Regression Models.” 2011. Web. 20 Mar 2019.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Vancouver:

Chandran,Manu. Analysis of Bayesian Group-Lasso in Regression Models. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2019 Mar 20]. Available from: http://ufdc.ufl.edu/UFE0043490.

Author name may be incomplete

Council of Science Editors:

Chandran,Manu. Analysis of Bayesian Group-Lasso in Regression Models. [Masters Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043490

Author name may be incomplete

University of Florida

8.
Xu, Xiaofan.
* Bayesian* Variable Selection and Estimation.

Degree: PhD, Statistics, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0046905

► The paper considers the classical *Bayesian* variable selection problem and an important subproblem in which grouping information of predictors is available. We propose the Half…
(more)

Subjects/Keywords: Estimators; Estimators for the mean; Linear regression; Modeling; Oracles; Parametric models; Regression analysis; Regression coefficients; Simulations; Statistics; bayesian – group – lasso – selection – thresholding – variable

Record Details Similar Records

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

APA (6^{th} Edition):

Xu, X. (2014). Bayesian Variable Selection and Estimation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046905

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

Xu, Xiaofan. “Bayesian Variable Selection and Estimation.” 2014. Doctoral Dissertation, University of Florida. Accessed March 20, 2019. http://ufdc.ufl.edu/UFE0046905.

MLA Handbook (7^{th} Edition):

Xu, Xiaofan. “Bayesian Variable Selection and Estimation.” 2014. Web. 20 Mar 2019.

Vancouver:

Xu X. Bayesian Variable Selection and Estimation. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Mar 20]. Available from: http://ufdc.ufl.edu/UFE0046905.

Council of Science Editors:

Xu X. Bayesian Variable Selection and Estimation. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046905

University of Illinois – Urbana-Champaign

9. Chen, Gang. Image classification and feature selection.

Degree: PhD, 0329, 2012, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/31979

► Tissue classification and feature selection have been increasing studied during the last two decades, however the available methods are still limited and need improvement. In…
(more)

Subjects/Keywords: Ultrasound tissue classification; feature selection, Level Set Segmentation; B-mode image; logistic regression; Variational Bayesian; Lasso; Elastic Net; Adaboost; Genetic Algorithm; map/reduce; cloud computing

Record Details Similar Records

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

APA (6^{th} Edition):

Chen, G. (2012). Image classification and feature selection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31979

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

Chen, Gang. “Image classification and feature selection.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 20, 2019. http://hdl.handle.net/2142/31979.

MLA Handbook (7^{th} Edition):

Chen, Gang. “Image classification and feature selection.” 2012. Web. 20 Mar 2019.

Vancouver:

Chen G. Image classification and feature selection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2142/31979.

Council of Science Editors:

Chen G. Image classification and feature selection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31979

Università Cattolica del Sacro Cuore

10. NICOLAZZI, EZEQUIEL LUIS. New trends in dairy cattle genetic evaluation.

Degree: 2011, Università Cattolica del Sacro Cuore

URL: http://hdl.handle.net/10280/966

►

I sistemi di valutazione genetica nel mondo sono in rapido sviluppo. Attualmente, i programmi di selezione “tradizionale” basati su fenotipi e rapporti di parentela tra… (more)

Subjects/Keywords: AGR/17: ZOOTECNICA GENERALE E MIGLIORAMENTO GENETICO; valutazione genetica, valutazione genetica internazionale, selezione genomica, correzione di Bonferroni, permutazioni, Analisi delle componenti principali, segnali di selezione genomica, BLUP, BayesA, Bayesian LASSO; genetic evaluation, international genetic evaluation, genomic selection, Bonferroni correction, Permutation test, Principal component analysis, genomic selection signatures, BLUP, BayesA, Bayesian LASSO.

Record Details Similar Records

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

APA (6^{th} Edition):

NICOLAZZI, E. L. (2011). New trends in dairy cattle genetic evaluation. (Doctoral Dissertation). Università Cattolica del Sacro Cuore. Retrieved from http://hdl.handle.net/10280/966

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

NICOLAZZI, EZEQUIEL LUIS. “New trends in dairy cattle genetic evaluation.” 2011. Doctoral Dissertation, Università Cattolica del Sacro Cuore. Accessed March 20, 2019. http://hdl.handle.net/10280/966.

MLA Handbook (7^{th} Edition):

NICOLAZZI, EZEQUIEL LUIS. “New trends in dairy cattle genetic evaluation.” 2011. Web. 20 Mar 2019.

Vancouver:

NICOLAZZI EL. New trends in dairy cattle genetic evaluation. [Internet] [Doctoral dissertation]. Università Cattolica del Sacro Cuore; 2011. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/10280/966.

Council of Science Editors:

NICOLAZZI EL. New trends in dairy cattle genetic evaluation. [Doctoral Dissertation]. Università Cattolica del Sacro Cuore; 2011. Available from: http://hdl.handle.net/10280/966

11. Hashem, Hussein Abdulahman. Regularized and robust regression methods for high dimensional data.

Degree: PhD, 2014, Brunel University

URL: http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960

► Recently, variable selection in high-dimensional data has attracted much research interest. Classical stepwise subset selection methods are widely used in practice, but when the number…
(more)

Subjects/Keywords: 519.5; Group lasso; Quantile regression; Binary regression; Tobit regression; Bayesian regression

…group *lasso*
3.3 *Bayesian* parameter estimation
3.4 Class prediction
3.5 Simulation study
3.6… …Comparison of *Bayesian* regression *lasso* methods under different error distributions, for low
(… …Comparison of *Bayesian* regression *lasso* methods under different error distributions, for low
(… …Comparison of *Bayesian* regression *lasso* methods under different error distributions, for low
(… …over 40 replications) of *Bayesian* binary quantile regression with group
*lasso* (…

Record Details Similar Records

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

APA (6^{th} Edition):

Hashem, H. A. (2014). Regularized and robust regression methods for high dimensional data. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960

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

Hashem, Hussein Abdulahman. “Regularized and robust regression methods for high dimensional data.” 2014. Doctoral Dissertation, Brunel University. Accessed March 20, 2019. http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960.

MLA Handbook (7^{th} Edition):

Hashem, Hussein Abdulahman. “Regularized and robust regression methods for high dimensional data.” 2014. Web. 20 Mar 2019.

Vancouver:

Hashem HA. Regularized and robust regression methods for high dimensional data. [Internet] [Doctoral dissertation]. Brunel University; 2014. [cited 2019 Mar 20]. Available from: http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960.

Council of Science Editors:

Hashem HA. Regularized and robust regression methods for high dimensional data. [Doctoral Dissertation]. Brunel University; 2014. Available from: http://bura.brunel.ac.uk/handle/2438/9197 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629960

University of Florida

12. Dasgupta, Shibasish. High Dimensional Inference and Variable Selection.

Degree: PhD, Statistics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045721

► This dissertation consists of three research projects. The first project focuses on asymptotic expansions of posteriors for generalized linear models (GLM) with canonical link functions…
(more)

Subjects/Keywords: Estimators; Generalized linear model; Linear models; Linear regression; Maximum likelihood estimations; Oracles; Regression analysis; Sample size; Statistical models; Statistics; asymptotic – bayesian – consistency – dimensional – expansion – glm – high – inference – kullback – lasso – leibler – normality – oracle – posterior – property – selection – variable

Record Details Similar Records

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

APA (6^{th} Edition):

Dasgupta, S. (2013). High Dimensional Inference and Variable Selection. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045721

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

Dasgupta, Shibasish. “High Dimensional Inference and Variable Selection.” 2013. Doctoral Dissertation, University of Florida. Accessed March 20, 2019. http://ufdc.ufl.edu/UFE0045721.

MLA Handbook (7^{th} Edition):

Dasgupta, Shibasish. “High Dimensional Inference and Variable Selection.” 2013. Web. 20 Mar 2019.

Vancouver:

Dasgupta S. High Dimensional Inference and Variable Selection. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Mar 20]. Available from: http://ufdc.ufl.edu/UFE0045721.

Council of Science Editors:

Dasgupta S. High Dimensional Inference and Variable Selection. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045721

13. Karlsson, Jonas. Inkrementell responsanalys : Vilka kunder bör väljas vid riktad marknadsföring?.

Degree: Faculty of Arts and Sciences, 2013, Linköping UniversityLinköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96593

► If customers respond differently to a campaign, it is worthwhile to find those customers who respond most positively and direct the campaign towards them.…
(more)

Subjects/Keywords: Incremental response modeling; uplift modeling; database marketing; Net information value; Lasso regression; Bayesian logistic regression; decision trees; logistic regression

…selection och ridge
regression föreslår Tibshirani (1996) en metod som kallas *Lasso*… …Kutner et.al., 2004). *Lasso* minimerar följande funktion
(Tibshirani, 1996)… …x28;
(
∑| |
∑
I Lassostraffet (eng. *Lasso* penalty),
| |, är interceptet… …Då responsvariabeln i uppsatsen är binär tillämpas
*Lasso* till en logistisk…

Record Details Similar Records

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

APA (6^{th} Edition):

Karlsson, J. (2013). Inkrementell responsanalys : Vilka kunder bör väljas vid riktad marknadsföring?. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96593

Not specified: Masters Thesis or Doctoral Dissertation

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

Karlsson, Jonas. “Inkrementell responsanalys : Vilka kunder bör väljas vid riktad marknadsföring?.” 2013. Thesis, Linköping UniversityLinköping University. Accessed March 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96593.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Karlsson, Jonas. “Inkrementell responsanalys : Vilka kunder bör väljas vid riktad marknadsföring?.” 2013. Web. 20 Mar 2019.

Vancouver:

Karlsson J. Inkrementell responsanalys : Vilka kunder bör väljas vid riktad marknadsföring?. [Internet] [Thesis]. Linköping UniversityLinköping University; 2013. [cited 2019 Mar 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96593.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karlsson J. Inkrementell responsanalys : Vilka kunder bör väljas vid riktad marknadsföring?. [Thesis]. Linköping UniversityLinköping University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96593

Not specified: Masters Thesis or Doctoral Dissertation

14.
Wu, Yang.
* Bayesian* Inference with Composite Likelihoods.

Degree: PhD, Statistics, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049255

► This dissertation focuses on *Bayesian* inference with composite likelihoods. A comprehensive overview is given in the first place. Then we provide an asymptotic expansion of…
(more)

Subjects/Keywords: Approximation; Bayesian analysis; Estimators; Frequentism; Gaussian distributions; Inference; Quantiles; Simulations; Statistical models; Statistics; asymptotics – constraineddirichletdistributions – degeneratedistributions – lasso – matchingpriors – pseudolikelihoods – strongconsistency – taylorexpansion – timeseries

…in Partial Fulfillment of the
Requirements for the Degree of Doctor of Philosophy
*BAYESIAN*… …This dissertation focuses on *Bayesian* inference with composite likelihoods. A
comprehensive… …frequentist quantiles and *Bayesian*
quantiles derived using quantile matching priors. One of the… …composite likelihoods is quite extensive, this is not
so in the *Bayesian* context. The topic has… …just started receiving attention in the *Bayesian*
literature. We may cite for instance, Smith…

Record Details Similar Records

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

APA (6^{th} Edition):

Wu, Y. (2015). Bayesian Inference with Composite Likelihoods. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049255

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

Wu, Yang. “Bayesian Inference with Composite Likelihoods.” 2015. Doctoral Dissertation, University of Florida. Accessed March 20, 2019. http://ufdc.ufl.edu/UFE0049255.

MLA Handbook (7^{th} Edition):

Wu, Yang. “Bayesian Inference with Composite Likelihoods.” 2015. Web. 20 Mar 2019.

Vancouver:

Wu Y. Bayesian Inference with Composite Likelihoods. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Mar 20]. Available from: http://ufdc.ufl.edu/UFE0049255.

Council of Science Editors:

Wu Y. Bayesian Inference with Composite Likelihoods. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049255

Université de Montréal

15. Adjogou, Adjobo Folly Dzigbodi. Analyse statistique de données fonctionnelles à structures complexes .

Degree: 2018, Université de Montréal

URL: http://hdl.handle.net/1866/20581

Subjects/Keywords: Données longitudinales; Partitionnement fonctionnel; Classification non supervisée; Modèles de mélange pour classification; Analyse des données fonctionnelles; Algorithme EM; Statistique bayésienne; Longitudinal data; Functional clustering; Model-based clustering; Functional data analysis; EM algorithm; Bayesian framework; Sparse longitudinal data; Gene expression; Mixture student; PRRSV; Lasso penalization

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Adjogou, A. F. D. (2018). Analyse statistique de données fonctionnelles à structures complexes . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/20581

Not specified: Masters Thesis or Doctoral Dissertation

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

Adjogou, Adjobo Folly Dzigbodi. “Analyse statistique de données fonctionnelles à structures complexes .” 2018. Thesis, Université de Montréal. Accessed March 20, 2019. http://hdl.handle.net/1866/20581.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Adjogou, Adjobo Folly Dzigbodi. “Analyse statistique de données fonctionnelles à structures complexes .” 2018. Web. 20 Mar 2019.

Vancouver:

Adjogou AFD. Analyse statistique de données fonctionnelles à structures complexes . [Internet] [Thesis]. Université de Montréal; 2018. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/1866/20581.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Adjogou AFD. Analyse statistique de données fonctionnelles à structures complexes . [Thesis]. Université de Montréal; 2018. Available from: http://hdl.handle.net/1866/20581

Not specified: Masters Thesis or Doctoral Dissertation