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You searched for subject:(Mixed model selection). Showing records 1 – 29 of 29 total matches.

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Bowling Green State University

1. Yousef, Mohammed A. Two-Stage SCAD Lasso for Linear Mixed Model Selection.

Degree: PhD, Statistics, 2019, Bowling Green State University

 Linear regression model is the classical approach to explain the relationship between the response variable (dependent) and predictors (independent). However, when the number of predictors… (more)

Subjects/Keywords: Statistics; Mixed model selection; SCAD Lasso; Linear mixed model; Penalized model selection; two-stage model selection

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

APA (6th Edition):

Yousef, M. A. (2019). Two-Stage SCAD Lasso for Linear Mixed Model Selection. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879

Chicago Manual of Style (16th Edition):

Yousef, Mohammed A. “Two-Stage SCAD Lasso for Linear Mixed Model Selection.” 2019. Doctoral Dissertation, Bowling Green State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.

MLA Handbook (7th Edition):

Yousef, Mohammed A. “Two-Stage SCAD Lasso for Linear Mixed Model Selection.” 2019. Web. 24 Aug 2019.

Vancouver:

Yousef MA. Two-Stage SCAD Lasso for Linear Mixed Model Selection. [Internet] [Doctoral dissertation]. Bowling Green State University; 2019. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.

Council of Science Editors:

Yousef MA. Two-Stage SCAD Lasso for Linear Mixed Model Selection. [Doctoral Dissertation]. Bowling Green State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879


Temple University

2. Stone, Elizabeth Anne. Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints.

Degree: PhD, 2013, Temple University

Statistics

This dissertation focuses on estimation and selection methods for a simple linear model with two levels of variation. This model provides a foundation for… (more)

Subjects/Keywords: Statistics;

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APA (6th Edition):

Stone, E. A. (2013). Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,234414

Chicago Manual of Style (16th Edition):

Stone, Elizabeth Anne. “Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints.” 2013. Doctoral Dissertation, Temple University. Accessed August 24, 2019. http://digital.library.temple.edu/u?/p245801coll10,234414.

MLA Handbook (7th Edition):

Stone, Elizabeth Anne. “Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints.” 2013. Web. 24 Aug 2019.

Vancouver:

Stone EA. Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints. [Internet] [Doctoral dissertation]. Temple University; 2013. [cited 2019 Aug 24]. Available from: http://digital.library.temple.edu/u?/p245801coll10,234414.

Council of Science Editors:

Stone EA. Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints. [Doctoral Dissertation]. Temple University; 2013. Available from: http://digital.library.temple.edu/u?/p245801coll10,234414


University of Minnesota

3. Ryoo, Ji Hoon. Model selection with the linear mixed effects model for longitudinal data.

Degree: Educational Psychology, 2010, University of Minnesota

Model building or model selection with linear mixed models (LMM) is complicated by the presence of both fixed effects and random effects. The fixed effects… (more)

Subjects/Keywords: Linear Mixed Effects Model; Longitudinal Data; Model Selection; Educational Psychology

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APA (6th Edition):

Ryoo, J. H. (2010). Model selection with the linear mixed effects model for longitudinal data. (Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/94155

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):

Ryoo, Ji Hoon. “Model selection with the linear mixed effects model for longitudinal data.” 2010. Thesis, University of Minnesota. Accessed August 24, 2019. http://purl.umn.edu/94155.

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

MLA Handbook (7th Edition):

Ryoo, Ji Hoon. “Model selection with the linear mixed effects model for longitudinal data.” 2010. Web. 24 Aug 2019.

Vancouver:

Ryoo JH. Model selection with the linear mixed effects model for longitudinal data. [Internet] [Thesis]. University of Minnesota; 2010. [cited 2019 Aug 24]. Available from: http://purl.umn.edu/94155.

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

Council of Science Editors:

Ryoo JH. Model selection with the linear mixed effects model for longitudinal data. [Thesis]. University of Minnesota; 2010. Available from: http://purl.umn.edu/94155

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


Bowling Green State University

4. Pan, Juming. Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood.

Degree: PhD, Statistics, 2016, Bowling Green State University

 Linear mixed models describe the relationship between a response variable and some predictors for data that are grouped according to one or more clustering factors.… (more)

Subjects/Keywords: Statistics; model selection; linear mixed models; oracle properties

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APA (6th Edition):

Pan, J. (2016). Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921

Chicago Manual of Style (16th Edition):

Pan, Juming. “Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood.” 2016. Doctoral Dissertation, Bowling Green State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921.

MLA Handbook (7th Edition):

Pan, Juming. “Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood.” 2016. Web. 24 Aug 2019.

Vancouver:

Pan J. Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. [Internet] [Doctoral dissertation]. Bowling Green State University; 2016. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921.

Council of Science Editors:

Pan J. Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. [Doctoral Dissertation]. Bowling Green State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921


University of Texas – Austin

5. Feng, Shujuan. Mixed-effect modeling of codon usage.

Degree: Statistics, 2010, University of Texas – Austin

 Logistic mixed effects models are used to determine whether optimal codons associate with two specific properties of the expressed protein: solvent accessibility, aggregation propensity, or… (more)

Subjects/Keywords: Logistic mixed effects; Model selection procedures; Optimal codon usage

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APA (6th Edition):

Feng, S. (2010). Mixed-effect modeling of codon usage. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2234

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):

Feng, Shujuan. “Mixed-effect modeling of codon usage.” 2010. Thesis, University of Texas – Austin. Accessed August 24, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2234.

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

MLA Handbook (7th Edition):

Feng, Shujuan. “Mixed-effect modeling of codon usage.” 2010. Web. 24 Aug 2019.

Vancouver:

Feng S. Mixed-effect modeling of codon usage. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2234.

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

Council of Science Editors:

Feng S. Mixed-effect modeling of codon usage. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2234

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

6. Chen, Yuqi. Joint Modeling of Mixed Outcomes in Clinical Research.

Degree: 2016, University of California – eScholarship, University of California

Mixed types of multivariate outcomes are common in clinical investigations. Survival time is one of the primary goals in practice. In addition, hospitalization attracts increasing… (more)

Subjects/Keywords: Statistics; Hospitalization; Joint modeling; Longitudinal; Mixed effects model; Readmission; Variable selection

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APA (6th Edition):

Chen, Y. (2016). Joint Modeling of Mixed Outcomes in Clinical Research. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/7cg515tn

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):

Chen, Yuqi. “Joint Modeling of Mixed Outcomes in Clinical Research.” 2016. Thesis, University of California – eScholarship, University of California. Accessed August 24, 2019. http://www.escholarship.org/uc/item/7cg515tn.

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

MLA Handbook (7th Edition):

Chen, Yuqi. “Joint Modeling of Mixed Outcomes in Clinical Research.” 2016. Web. 24 Aug 2019.

Vancouver:

Chen Y. Joint Modeling of Mixed Outcomes in Clinical Research. [Internet] [Thesis]. University of California – eScholarship, University of California; 2016. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/7cg515tn.

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

Council of Science Editors:

Chen Y. Joint Modeling of Mixed Outcomes in Clinical Research. [Thesis]. University of California – eScholarship, University of California; 2016. Available from: http://www.escholarship.org/uc/item/7cg515tn

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


University of Adelaide

7. Kon, Daniel Dean. Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer.

Degree: 2019, University of Adelaide

 Disease diagnosis is often performed using a blood test for protein biomarkers which exhibit differential expression in diseased subjects as compared to healthy subjects. Discovery… (more)

Subjects/Keywords: Missing data; mixed effects models; selection model; joint model; proteomics; MALDI; mass spectrometry

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APA (6th Edition):

Kon, D. D. (2019). Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/120609

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):

Kon, Daniel Dean. “Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer.” 2019. Thesis, University of Adelaide. Accessed August 24, 2019. http://hdl.handle.net/2440/120609.

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

MLA Handbook (7th Edition):

Kon, Daniel Dean. “Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer.” 2019. Web. 24 Aug 2019.

Vancouver:

Kon DD. Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer. [Internet] [Thesis]. University of Adelaide; 2019. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2440/120609.

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

Council of Science Editors:

Kon DD. Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer. [Thesis]. University of Adelaide; 2019. Available from: http://hdl.handle.net/2440/120609

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


Mississippi State University

8. Paolini, Kelsey Elizabeth. Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist.

Degree: MS, Wildlife, Fisheries & Aquaculture, 2018, Mississippi State University

 Spatiotemporal dynamics of resource availability can produce markedly different patterns of landscape utilization which necessitates studying habitat selection across biologically relevant extents. Feral pigs (<I>Sus… (more)

Subjects/Keywords: third order selection; second order selection; mixed-effect model; agriculture; spatiotemporal dyanmics; Sus scrofa; habitat selection

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APA (6th Edition):

Paolini, K. E. (2018). Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03092018-141353/ ;

Chicago Manual of Style (16th Edition):

Paolini, Kelsey Elizabeth. “Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist.” 2018. Masters Thesis, Mississippi State University. Accessed August 24, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03092018-141353/ ;.

MLA Handbook (7th Edition):

Paolini, Kelsey Elizabeth. “Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist.” 2018. Web. 24 Aug 2019.

Vancouver:

Paolini KE. Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist. [Internet] [Masters thesis]. Mississippi State University; 2018. [cited 2019 Aug 24]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03092018-141353/ ;.

Council of Science Editors:

Paolini KE. Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist. [Masters Thesis]. Mississippi State University; 2018. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03092018-141353/ ;


University of California – Irvine

9. Christensen, Fletcher George William. New Approaches to Model Selection in Bayesian Mixed Modeling.

Degree: Statistics, 2017, University of California – Irvine

 Because the marginal densities corresponding to data modeled with generalized linear mixed models (GLMMs) usually lack closed-form expressions, model selection via existing tools like the… (more)

Subjects/Keywords: Statistics; Biostatistics; Environmental health; DIC; fertility; marginalization; missing data; mixed modeling; model selection

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APA (6th Edition):

Christensen, F. G. W. (2017). New Approaches to Model Selection in Bayesian Mixed Modeling. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/40f5322c

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):

Christensen, Fletcher George William. “New Approaches to Model Selection in Bayesian Mixed Modeling.” 2017. Thesis, University of California – Irvine. Accessed August 24, 2019. http://www.escholarship.org/uc/item/40f5322c.

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

MLA Handbook (7th Edition):

Christensen, Fletcher George William. “New Approaches to Model Selection in Bayesian Mixed Modeling.” 2017. Web. 24 Aug 2019.

Vancouver:

Christensen FGW. New Approaches to Model Selection in Bayesian Mixed Modeling. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/40f5322c.

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

Council of Science Editors:

Christensen FGW. New Approaches to Model Selection in Bayesian Mixed Modeling. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/40f5322c

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


University of Adelaide

10. De Faveri, Joanne. Spatial and temporal modelling for perennial crop variety selection trials.

Degree: 2013, University of Adelaide

 This thesis involves the investigation and development of methods for analysing data from variety selection trials in perennial crops. This involves identifying best varieties from… (more)

Subjects/Keywords: spatial and temporal modelling; mixed model varietal selection; perennial crops; multi-harvest

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APA (6th Edition):

De Faveri, . J. (2013). Spatial and temporal modelling for perennial crop variety selection trials. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/83114

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):

De Faveri, Joanne. “Spatial and temporal modelling for perennial crop variety selection trials.” 2013. Thesis, University of Adelaide. Accessed August 24, 2019. http://hdl.handle.net/2440/83114.

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

MLA Handbook (7th Edition):

De Faveri, Joanne. “Spatial and temporal modelling for perennial crop variety selection trials.” 2013. Web. 24 Aug 2019.

Vancouver:

De Faveri J. Spatial and temporal modelling for perennial crop variety selection trials. [Internet] [Thesis]. University of Adelaide; 2013. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2440/83114.

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

Council of Science Editors:

De Faveri J. Spatial and temporal modelling for perennial crop variety selection trials. [Thesis]. University of Adelaide; 2013. Available from: http://hdl.handle.net/2440/83114

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


Rice University

11. Baker, Yulia. Methods and Applications for Mixed Graphical Models.

Degree: PhD, Engineering, 2017, Rice University

 ``Multi-view Data'' is a term used to describe heterogeneous data measured on the same set of observations but collected from different sources and of potentially… (more)

Subjects/Keywords: Multi-view Data; mixed graphical models; Markov Random Fields; model selection; gene regulatory network

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APA (6th Edition):

Baker, Y. (2017). Methods and Applications for Mixed Graphical Models. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105527

Chicago Manual of Style (16th Edition):

Baker, Yulia. “Methods and Applications for Mixed Graphical Models.” 2017. Doctoral Dissertation, Rice University. Accessed August 24, 2019. http://hdl.handle.net/1911/105527.

MLA Handbook (7th Edition):

Baker, Yulia. “Methods and Applications for Mixed Graphical Models.” 2017. Web. 24 Aug 2019.

Vancouver:

Baker Y. Methods and Applications for Mixed Graphical Models. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1911/105527.

Council of Science Editors:

Baker Y. Methods and Applications for Mixed Graphical Models. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/105527


Universidade Federal de Viçosa

12. Fábio Moreira Sobreira. Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants.

Degree: 2009, Universidade Federal de Viçosa

A metodologia BLUP, que é amplamente utilizada na avaliação genética animal e florestal também pode ser aplicada no melhoramento de culturas anuais. O objetivo deste… (more)

Subjects/Keywords: Metodologia de modelos mistos; Acurácia; Eficiência de seleção; Seleção recorrente; Correlações; GENETICA QUANTITATIVA; Mixed model methodology; Accuracy; Recurrent selection; Recurrent selection; Correlations; Selection efficiency

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APA (6th Edition):

Sobreira, F. M. (2009). Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants. (Thesis). Universidade Federal de Viçosa. Retrieved from http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2166

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):

Sobreira, Fábio Moreira. “Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants.” 2009. Thesis, Universidade Federal de Viçosa. Accessed August 24, 2019. http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2166.

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

MLA Handbook (7th Edition):

Sobreira, Fábio Moreira. “Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants.” 2009. Web. 24 Aug 2019.

Vancouver:

Sobreira FM. Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants. [Internet] [Thesis]. Universidade Federal de Viçosa; 2009. [cited 2019 Aug 24]. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2166.

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

Council of Science Editors:

Sobreira FM. Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants. [Thesis]. Universidade Federal de Viçosa; 2009. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2166

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


Colorado State University

13. Wilson, Benjamin R. Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition.

Degree: MS(M.S.), Ecology, 2007, Colorado State University

 I evaluated the efficacy of using woodland fire to alter vegetation composition in a manner that augments desert bighorn sheep (Ovis canadensis nelsoni) habitat in… (more)

Subjects/Keywords: bighorn sheep; Bromus tectorum; mixed model; resource selection; wildfire

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APA (6th Edition):

Wilson, B. R. (2007). Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/82669

Chicago Manual of Style (16th Edition):

Wilson, Benjamin R. “Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition.” 2007. Masters Thesis, Colorado State University. Accessed August 24, 2019. http://hdl.handle.net/10217/82669.

MLA Handbook (7th Edition):

Wilson, Benjamin R. “Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition.” 2007. Web. 24 Aug 2019.

Vancouver:

Wilson BR. Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10217/82669.

Council of Science Editors:

Wilson BR. Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/82669


University of Michigan

14. Xia, Rong. Statistical Issues in the Analysis of Correlated Data.

Degree: PhD, Biostatistics, 2015, University of Michigan

 We first extend the original classification and regression trees (CART) paradigm (Breiman et al. 1984) to clustered binary outcomes, where individuals within a cluster are… (more)

Subjects/Keywords: correlated data; tree-based methods; residuals; linear mixed effects models; random effects; covariance model selection; Public Health; Health Sciences

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APA (6th Edition):

Xia, R. (2015). Statistical Issues in the Analysis of Correlated Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/116687

Chicago Manual of Style (16th Edition):

Xia, Rong. “Statistical Issues in the Analysis of Correlated Data.” 2015. Doctoral Dissertation, University of Michigan. Accessed August 24, 2019. http://hdl.handle.net/2027.42/116687.

MLA Handbook (7th Edition):

Xia, Rong. “Statistical Issues in the Analysis of Correlated Data.” 2015. Web. 24 Aug 2019.

Vancouver:

Xia R. Statistical Issues in the Analysis of Correlated Data. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2027.42/116687.

Council of Science Editors:

Xia R. Statistical Issues in the Analysis of Correlated Data. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/116687


University of Saskatchewan

15. Wang, Xiaoying. Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data.

Degree: 2019, University of Saskatchewan

 Background: Recent advances in next-generation sequencing (NGS) technology enable researchers to collect a large volume of microbiome data. Microbiome data consist of operational taxonomic unit… (more)

Subjects/Keywords: Generalized Linear Mixed Model; Least Absolute Shrinkage and Selection Operator; Likelihood Ratio Test; False Discovery Rate; Leave-One-Out Cross-Validation

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APA (6th Edition):

Wang, X. (2019). Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/11952

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, Xiaoying. “Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data.” 2019. Thesis, University of Saskatchewan. Accessed August 24, 2019. http://hdl.handle.net/10388/11952.

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

MLA Handbook (7th Edition):

Wang, Xiaoying. “Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data.” 2019. Web. 24 Aug 2019.

Vancouver:

Wang X. Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data. [Internet] [Thesis]. University of Saskatchewan; 2019. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10388/11952.

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

Council of Science Editors:

Wang X. Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data. [Thesis]. University of Saskatchewan; 2019. Available from: http://hdl.handle.net/10388/11952

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


The Ohio State University

16. Schneider, Rhiannon N. Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea.

Degree: MS, Horticulture and Crop Science, 2015, The Ohio State University

 Phytophthora root and stem rot of soybean (<i>Glycine max</i>) is caused by the oomycete pathogen <i>Phytophthora sojae</i>. This disease can be controlled by genetic resistance,… (more)

Subjects/Keywords: Horticulture; Agronomy; Plant Pathology; Plant Sciences; partial resistance to Phytophthora sojae, genome-wide association study, genomic selection, soybean plant introductions, genetic gain, compressed mixed linear model, multi-trait selection indices

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APA (6th Edition):

Schneider, R. N. (2015). Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1429741967

Chicago Manual of Style (16th Edition):

Schneider, Rhiannon N. “Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea.” 2015. Masters Thesis, The Ohio State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429741967.

MLA Handbook (7th Edition):

Schneider, Rhiannon N. “Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea.” 2015. Web. 24 Aug 2019.

Vancouver:

Schneider RN. Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea. [Internet] [Masters thesis]. The Ohio State University; 2015. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429741967.

Council of Science Editors:

Schneider RN. Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea. [Masters Thesis]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429741967


Brigham Young University

17. Wang, Jun. Selecting the Best Linear Mixed Model Using Predictive Approaches.

Degree: MS, 2007, Brigham Young University

 The linear mixed model is widely implemented in the analysis of longitudinal data. Inference techniques and information criteria are available and well-studied for goodness-of-fit within… (more)

Subjects/Keywords: mixed model; model selection; predictive approaches; AIC; BIC; F-test; Statistics and Probability

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APA (6th Edition):

Wang, J. (2007). Selecting the Best Linear Mixed Model Using Predictive Approaches. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1840&context=etd

Chicago Manual of Style (16th Edition):

Wang, Jun. “Selecting the Best Linear Mixed Model Using Predictive Approaches.” 2007. Masters Thesis, Brigham Young University. Accessed August 24, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1840&context=etd.

MLA Handbook (7th Edition):

Wang, Jun. “Selecting the Best Linear Mixed Model Using Predictive Approaches.” 2007. Web. 24 Aug 2019.

Vancouver:

Wang J. Selecting the Best Linear Mixed Model Using Predictive Approaches. [Internet] [Masters thesis]. Brigham Young University; 2007. [cited 2019 Aug 24]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1840&context=etd.

Council of Science Editors:

Wang J. Selecting the Best Linear Mixed Model Using Predictive Approaches. [Masters Thesis]. Brigham Young University; 2007. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1840&context=etd

18. Wenren, Cheng. Mixed Model Selection Based on the Conceptual Predictive Statistic.

Degree: PhD, Mathematics/Mathematical Statistics, 2014, Bowling Green State University

Model selection plays an important role in statistical literature. The objective of model selection is to choose the most appropriate model from a potential large… (more)

Subjects/Keywords: Statistics; Model Selection; Discrepancy; Conceptual Predictive Statistic; Linear Mixed Models

…The research on model selection for linear mixed models has grown rapidly in recent years… …previous research which relates to model selection in linear mixed models. The first part… …available model selection methods which are applied to linear mixed models. Most of them are based… …Mallow’s Cp , which is extended to the linear mixed model selection in this dissertation. 1.2.1… …Wand and Carroll (2003). 1.2.2 Model Selection in Linear Mixed Models Model… 

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APA (6th Edition):

Wenren, C. (2014). Mixed Model Selection Based on the Conceptual Predictive Statistic. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1403735738

Chicago Manual of Style (16th Edition):

Wenren, Cheng. “Mixed Model Selection Based on the Conceptual Predictive Statistic.” 2014. Doctoral Dissertation, Bowling Green State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1403735738.

MLA Handbook (7th Edition):

Wenren, Cheng. “Mixed Model Selection Based on the Conceptual Predictive Statistic.” 2014. Web. 24 Aug 2019.

Vancouver:

Wenren C. Mixed Model Selection Based on the Conceptual Predictive Statistic. [Internet] [Doctoral dissertation]. Bowling Green State University; 2014. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1403735738.

Council of Science Editors:

Wenren C. Mixed Model Selection Based on the Conceptual Predictive Statistic. [Doctoral Dissertation]. Bowling Green State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1403735738

19. Ollier, Edouard. Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data.

Degree: Docteur es, Mathématiques, 2017, Lyon

Cette thèse est principalement consacrée au développement de méthodes de sélection de modèles par maximum de vraisemblance pénalisée dans le cadre de données complexes. Un… (more)

Subjects/Keywords: Sélection de modèle; Vraisemblance pénalisée; Algorithme SAEM; Algorithmes gradient proximaux; Modèles non linéaires à effets mixtes; Model selection; Penalized likelihood; SAEM algorithm; Proximal gradient algorithm; Non linear mixed effects models

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APA (6th Edition):

Ollier, E. (2017). Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2017LYSEN097

Chicago Manual of Style (16th Edition):

Ollier, Edouard. “Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data.” 2017. Doctoral Dissertation, Lyon. Accessed August 24, 2019. http://www.theses.fr/2017LYSEN097.

MLA Handbook (7th Edition):

Ollier, Edouard. “Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data.” 2017. Web. 24 Aug 2019.

Vancouver:

Ollier E. Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data. [Internet] [Doctoral dissertation]. Lyon; 2017. [cited 2019 Aug 24]. Available from: http://www.theses.fr/2017LYSEN097.

Council of Science Editors:

Ollier E. Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data. [Doctoral Dissertation]. Lyon; 2017. Available from: http://www.theses.fr/2017LYSEN097

20. Zhang, Bo. Adaptive model selection in linear mixed models.

Degree: PhD, Statistics, 2009, University of Minnesota

 Linear mixed models are commonly used models in the analysis of correlated data, in which the observed data are grouped according to one or more… (more)

Subjects/Keywords: Data Perturbation; Linear Mixed Models; Model Selection; Statistics

…5 Adaptive Model Selection in Linear Mixed Models: Applications 55 6 Conclusion 60… …criterion is needed. This dissertation focuses on model selection in linear mixed models. Shen and… …model selection is discussed in linear mixed models. The discussion starts with introducing… …fitting. This dissertation is devoted to model selection for linear mixed models. 1.1.2 Linear… …variables when we fit a linear mixed model to the data. 7 1.2 Model Selection in Linear Mixed… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Zhang, B. (2009). Adaptive model selection in linear mixed models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/56303

Chicago Manual of Style (16th Edition):

Zhang, Bo. “Adaptive model selection in linear mixed models.” 2009. Doctoral Dissertation, University of Minnesota. Accessed August 24, 2019. http://purl.umn.edu/56303.

MLA Handbook (7th Edition):

Zhang, Bo. “Adaptive model selection in linear mixed models.” 2009. Web. 24 Aug 2019.

Vancouver:

Zhang B. Adaptive model selection in linear mixed models. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2019 Aug 24]. Available from: http://purl.umn.edu/56303.

Council of Science Editors:

Zhang B. Adaptive model selection in linear mixed models. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/56303


Virginia Tech

21. Atwood, Chad Judson. Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians.

Degree: MS, Forestry, 2008, Virginia Tech

 Harvesting practices in the southern Appalachians have moved away from clearcutting in favor of variable retention harvesting systems. A study was initiated in 1995-8 to… (more)

Subjects/Keywords: clearcut; leave-tree; shelterwood; group selection; stump sprouts; oak; mixed model; silviculture; Appalachian hardwoods

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APA (6th Edition):

Atwood, C. J. (2008). Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32997

Chicago Manual of Style (16th Edition):

Atwood, Chad Judson. “Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians.” 2008. Masters Thesis, Virginia Tech. Accessed August 24, 2019. http://hdl.handle.net/10919/32997.

MLA Handbook (7th Edition):

Atwood, Chad Judson. “Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians.” 2008. Web. 24 Aug 2019.

Vancouver:

Atwood CJ. Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians. [Internet] [Masters thesis]. Virginia Tech; 2008. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10919/32997.

Council of Science Editors:

Atwood CJ. Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians. [Masters Thesis]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/32997


Université Paris-Sud – Paris XI

22. Delattre, Maud. Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models.

Degree: Docteur es, Mathématiques, 2012, Université Paris-Sud – Paris XI

La première partie de cette thèse est consacrée a l'estimation par maximum de vraisemblance dans les modèles mixtes a dynamique markovienne. Nous considérons plus précisément… (more)

Subjects/Keywords: Maximum de vraisemblance; Modèles à effets mixtes; Modèles de Markov cachés; Équations différentielles stochastiques; Algorithme SAEM; Sélection de modèles; Pharmacologie; Maximum likelihood; Mixed-effects models; Hidden Markov models; Stochastic differential equations; SAEM algorithm; Model selection; Pharmacology

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APA (6th Edition):

Delattre, M. (2012). Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2012PA112113

Chicago Manual of Style (16th Edition):

Delattre, Maud. “Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models.” 2012. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed August 24, 2019. http://www.theses.fr/2012PA112113.

MLA Handbook (7th Edition):

Delattre, Maud. “Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models.” 2012. Web. 24 Aug 2019.

Vancouver:

Delattre M. Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2012. [cited 2019 Aug 24]. Available from: http://www.theses.fr/2012PA112113.

Council of Science Editors:

Delattre M. Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2012. Available from: http://www.theses.fr/2012PA112113

23. Ma, Shaochun. Economies of scale analysis and location studies for fuel ethanol refineries.

Degree: PhD, 5163, 2013, University of Illinois – Urbana-Champaign

 The development of commercial-scale cellulosic ethanol refineries is a challenging task, but it is a promising way to increase national energy independence and security. The… (more)

Subjects/Keywords: Ethanol Refineries; Cost Model; Area Utilization Factor (AUF); Mixed-integer Programming; Economies of Scale; Site Selection

…production. In this study, a basic biomass-to-ethanol process simulation model is defined and… …2002). Aspen Plus® has been employed to model and simulate the corn stover ethanol… …commercial software package, SuperPro Designer®, has been used to model the process and cost of… …verify the model and simulation results. Most biomass conversion studies have considered… …importance of location selection. Making decisions is not straight forward because several criteria… 

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APA (6th Edition):

Ma, S. (2013). Economies of scale analysis and location studies for fuel ethanol refineries. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42439

Chicago Manual of Style (16th Edition):

Ma, Shaochun. “Economies of scale analysis and location studies for fuel ethanol refineries.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 24, 2019. http://hdl.handle.net/2142/42439.

MLA Handbook (7th Edition):

Ma, Shaochun. “Economies of scale analysis and location studies for fuel ethanol refineries.” 2013. Web. 24 Aug 2019.

Vancouver:

Ma S. Economies of scale analysis and location studies for fuel ethanol refineries. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2142/42439.

Council of Science Editors:

Ma S. Economies of scale analysis and location studies for fuel ethanol refineries. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42439


Lincoln University

24. Narayan, Prakash. Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture.

Degree: 1990, Lincoln University

 With the removal of many forms of government intervention from the agricultural sector, risk management has become an increasingly important issue for New Zealand farmers.… (more)

Subjects/Keywords: Capital Asset Pricing Model (CAPM); portfolio selection; farm sector portfolio; diversification; systematic risk; compensation; beta coefficient; mixed cropping; New Zealand; risk management; farm investment

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APA (6th Edition):

Narayan, P. (1990). Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture. (Thesis). Lincoln University. Retrieved from http://hdl.handle.net/10182/3185

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):

Narayan, Prakash. “Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture.” 1990. Thesis, Lincoln University. Accessed August 24, 2019. http://hdl.handle.net/10182/3185.

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

MLA Handbook (7th Edition):

Narayan, Prakash. “Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture.” 1990. Web. 24 Aug 2019.

Vancouver:

Narayan P. Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture. [Internet] [Thesis]. Lincoln University; 1990. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10182/3185.

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

Council of Science Editors:

Narayan P. Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture. [Thesis]. Lincoln University; 1990. Available from: http://hdl.handle.net/10182/3185

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

25. Cann, Benjamin. Choosing a data frequency to forecast the quarterly yen-dollar exchange rate.

Degree: Department of Economics, 2016, University of Victoria

 Potentially valuable information about the underlying data generating process of a dependent variable is often lost when an independent variable is transformed to fit into… (more)

Subjects/Keywords: mixed data sampling; forecasting; model selection criteria; time-series; yen dollar exchange rate; econometrics; economics; MIDAS; foreign exchange rates

…APPENDIX A: MODEL SELECTION CRITERIA AND FORECASTING ERRORS Akaike Information Criterion (… …may lead to efficiency gains compared to an unconstrained MIDAS model (p. 4). A… …observation, it may make more sense to, instead, change the model from a one quarter dependent… …model (p. 547). Their solution is to add AR (𝑚) dynamics of the… …model longer term trends without the extreme variation typical of high-frequency exchange… 

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APA (6th Edition):

Cann, B. (2016). Choosing a data frequency to forecast the quarterly yen-dollar exchange rate. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7587

Chicago Manual of Style (16th Edition):

Cann, Benjamin. “Choosing a data frequency to forecast the quarterly yen-dollar exchange rate.” 2016. Masters Thesis, University of Victoria. Accessed August 24, 2019. http://hdl.handle.net/1828/7587.

MLA Handbook (7th Edition):

Cann, Benjamin. “Choosing a data frequency to forecast the quarterly yen-dollar exchange rate.” 2016. Web. 24 Aug 2019.

Vancouver:

Cann B. Choosing a data frequency to forecast the quarterly yen-dollar exchange rate. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1828/7587.

Council of Science Editors:

Cann B. Choosing a data frequency to forecast the quarterly yen-dollar exchange rate. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7587

26. Baragatti, Meïli. Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects.

Degree: Docteur es, Mathématiques, 2011, Aix-Marseille 2

 Cette thèse se décompose en deux parties. Dans un premier temps nous nous intéressons à la sélection bayésienne de variables dans un modèle probit mixte.L'objectif… (more)

Subjects/Keywords: Sélection bayésienne de variables; Modèle probit mixte; A priori de Zellner; Paramètre ridge; Monte Carlo Markov Chains; Parallel Tempering; Equi-Energy Sampler; Approximate Bayesian Computation; Méthodes sans vraisemblance; Bayesian variable selection; Probit mixed model; Zellner g-prior; Ridge parameter; Monte Carlo Markov Chains; Parallel Tempering; Equi-Energy Sampler; Approximate Bayesian Computation; Likelihood-Free methods

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APA (6th Edition):

Baragatti, M. (2011). Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects. (Doctoral Dissertation). Aix-Marseille 2. Retrieved from http://www.theses.fr/2011AIX22100

Chicago Manual of Style (16th Edition):

Baragatti, Meïli. “Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects.” 2011. Doctoral Dissertation, Aix-Marseille 2. Accessed August 24, 2019. http://www.theses.fr/2011AIX22100.

MLA Handbook (7th Edition):

Baragatti, Meïli. “Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects.” 2011. Web. 24 Aug 2019.

Vancouver:

Baragatti M. Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects. [Internet] [Doctoral dissertation]. Aix-Marseille 2; 2011. [cited 2019 Aug 24]. Available from: http://www.theses.fr/2011AIX22100.

Council of Science Editors:

Baragatti M. Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects. [Doctoral Dissertation]. Aix-Marseille 2; 2011. Available from: http://www.theses.fr/2011AIX22100

27. Mabon, Gwennaëlle. Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models.

Degree: Docteur es, Mathématiques appliquées, 2016, Sorbonne Paris Cité

Dans cette thèse, nous nous intéressons au problème d'estimation de densité dans le modèle de convolution. Ce cadre correspond aux modèles avec erreurs de mesures… (more)

Subjects/Keywords: Modèles de convolution; Modèles de durées; Modèles mixtes; Estimation non-paramétrique; Estimation adaptative; Estimation par projection; Sélection de modèles; Méthodes de Goldenshluger et Lepski; Agrégation; Vitesses optimales minimax; Convolution models; Duration models; Mixed models; Nonparametric estimation; Adaptive estimation; Projection estimators; Model selection; Goldenshluger and Lepski method; Aggregation; Minimax optimal rates; 519

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APA (6th Edition):

Mabon, G. (2016). Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models. (Doctoral Dissertation). Sorbonne Paris Cité. Retrieved from http://www.theses.fr/2016USPCB020

Chicago Manual of Style (16th Edition):

Mabon, Gwennaëlle. “Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models.” 2016. Doctoral Dissertation, Sorbonne Paris Cité. Accessed August 24, 2019. http://www.theses.fr/2016USPCB020.

MLA Handbook (7th Edition):

Mabon, Gwennaëlle. “Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models.” 2016. Web. 24 Aug 2019.

Vancouver:

Mabon G. Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; 2016. [cited 2019 Aug 24]. Available from: http://www.theses.fr/2016USPCB020.

Council of Science Editors:

Mabon G. Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models. [Doctoral Dissertation]. Sorbonne Paris Cité; 2016. Available from: http://www.theses.fr/2016USPCB020

28. Paynter, Michelle. Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae.

Degree: School of Agriculture and Food Sciences, 2015, University of Queensland

Subjects/Keywords: Fusarium wilt; Linear mixed model; Vegetative compatibility groups; Translation elongation factor 1α; Mitochondrial small-subunit; Pathogenicity; 060408 Genomics; 060704 Plant Pathology; 070602 Horticultural Crop Improvement (Selection and Breeding)

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APA (6th Edition):

Paynter, M. (2015). Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:362000

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):

Paynter, Michelle. “Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae.” 2015. Thesis, University of Queensland. Accessed August 24, 2019. http://espace.library.uq.edu.au/view/UQ:362000.

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

MLA Handbook (7th Edition):

Paynter, Michelle. “Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae.” 2015. Web. 24 Aug 2019.

Vancouver:

Paynter M. Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae. [Internet] [Thesis]. University of Queensland; 2015. [cited 2019 Aug 24]. Available from: http://espace.library.uq.edu.au/view/UQ:362000.

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

Council of Science Editors:

Paynter M. Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae. [Thesis]. University of Queensland; 2015. Available from: http://espace.library.uq.edu.au/view/UQ:362000

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

29. Kong, Shengchun. New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate.

Degree: PhD, Biostatistics, 2014, University of Michigan

 Censored survival data arise commonly in many areas including epidemiology, engineering and sociology. In this dissertation, we explore several emerging statistical issues for censored survival… (more)

Subjects/Keywords: Cox Regression, Finite Sample, Lasso, Oracle Inequality, Variable Selection; Accelerate Failure Time Model; Censored Covariate; Empirical Process; Generalized Linear Models; Pseudo-likelihood Estimation.; Mixed Effects Model; Cox Regression; Empirical Process; Pseudo-maximum Likelihood Estimation; Public Health; Statistics and Numeric Data; Health Sciences; Science

…parametric models for the unobservable tail probability, thus may suffer from model… …based approach for the regression parameters using an accelerated failure time model for the… …assumption, however, is not reasonable for many longitudinal studies. Therefore we directly model… …For censored survival data, the Cox regression model is the most widely used method and is… …Cox model are extremely difficult, mainly due to lacking independent and identically… 

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

APA (6th Edition):

Kong, S. (2014). New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/108930

Chicago Manual of Style (16th Edition):

Kong, Shengchun. “New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate.” 2014. Doctoral Dissertation, University of Michigan. Accessed August 24, 2019. http://hdl.handle.net/2027.42/108930.

MLA Handbook (7th Edition):

Kong, Shengchun. “New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate.” 2014. Web. 24 Aug 2019.

Vancouver:

Kong S. New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2027.42/108930.

Council of Science Editors:

Kong S. New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/108930

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