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36 total matches.

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1. Possamai, Adriana Alvarez. Modelos não lineares de família exponencial revisitados.

Degree: Mestrado, Estatística, 2009, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05112009-103455/ ;

►

O objetivo deste trabalho é fazer uma revisão dos modelos não lineares de família exponencial (Cordeiro & Paula (1989); Wei (1998)) para respostas independentes e… (more)

Subjects/Keywords: exponential family; família exponencial

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

APA (6^{th} Edition):

Possamai, A. A. (2009). Modelos não lineares de família exponencial revisitados. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05112009-103455/ ;

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

Possamai, Adriana Alvarez. “Modelos não lineares de família exponencial revisitados.” 2009. Masters Thesis, University of São Paulo. Accessed October 28, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05112009-103455/ ;.

MLA Handbook (7^{th} Edition):

Possamai, Adriana Alvarez. “Modelos não lineares de família exponencial revisitados.” 2009. Web. 28 Oct 2020.

Vancouver:

Possamai AA. Modelos não lineares de família exponencial revisitados. [Internet] [Masters thesis]. University of São Paulo; 2009. [cited 2020 Oct 28]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05112009-103455/ ;.

Council of Science Editors:

Possamai AA. Modelos não lineares de família exponencial revisitados. [Masters Thesis]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05112009-103455/ ;

University of Guelph

2. Mudalige, Nishan. Beran Estimation of the Fisher-Bingham and Curved Kent Distributions.

Degree: PhD, Department of Mathematics and Statistics, 2020, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21270

► A directional measurement can be considered as a point incident to the unit hyper-sphere S^(p-1). Techniques for developing statistical tools to analyze directional data have…
(more)

Subjects/Keywords: directional statistics; exponential family; maximum likelihood estimation; spherical harmonics; hyper-sphere; canonical exponential family; curved exponential family; traceless matrices

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APA (6^{th} Edition):

Mudalige, N. (2020). Beran Estimation of the Fisher-Bingham and Curved Kent Distributions. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21270

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

Mudalige, Nishan. “Beran Estimation of the Fisher-Bingham and Curved Kent Distributions.” 2020. Doctoral Dissertation, University of Guelph. Accessed October 28, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21270.

MLA Handbook (7^{th} Edition):

Mudalige, Nishan. “Beran Estimation of the Fisher-Bingham and Curved Kent Distributions.” 2020. Web. 28 Oct 2020.

Vancouver:

Mudalige N. Beran Estimation of the Fisher-Bingham and Curved Kent Distributions. [Internet] [Doctoral dissertation]. University of Guelph; 2020. [cited 2020 Oct 28]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21270.

Council of Science Editors:

Mudalige N. Beran Estimation of the Fisher-Bingham and Curved Kent Distributions. [Doctoral Dissertation]. University of Guelph; 2020. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/21270

University of Minnesota

3. Okabayashi, Saisuke. Parameter estimation in social network models.

Degree: PhD, Statistics, 2011, University of Minnesota

URL: http://purl.umn.edu/108208

► A social network is an example of a phenomenon with complex stochastic dependence that is commonly modeled with a class of *exponential* families called *exponential*…
(more)

Subjects/Keywords: Exponential family; Exponential random graph; Markov chain Monte Carlo; Maximum likelihood; Social network; Statistics

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

APA (6^{th} Edition):

Okabayashi, S. (2011). Parameter estimation in social network models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/108208

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

Okabayashi, Saisuke. “Parameter estimation in social network models.” 2011. Doctoral Dissertation, University of Minnesota. Accessed October 28, 2020. http://purl.umn.edu/108208.

MLA Handbook (7^{th} Edition):

Okabayashi, Saisuke. “Parameter estimation in social network models.” 2011. Web. 28 Oct 2020.

Vancouver:

Okabayashi S. Parameter estimation in social network models. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2020 Oct 28]. Available from: http://purl.umn.edu/108208.

Council of Science Editors:

Okabayashi S. Parameter estimation in social network models. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/108208

Penn State University

4.
Rao, Aniruddha Rajendra.
COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL *EXPONENTIAL* FAMILIES.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16246arr30

► In this thesis, we consider the problem of estimating an unknown density, p_o belonging to an infinite dimensional *exponential* *family* P parametrized by functions in…
(more)

Subjects/Keywords: Kernel Methods; Density Estimation; Exponential Family; Computation; Infinite Dimension

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

APA (6^{th} Edition):

Rao, A. R. (2019). COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16246arr30

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):

Rao, Aniruddha Rajendra. “COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.” 2019. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/16246arr30.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rao, Aniruddha Rajendra. “COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES.” 2019. Web. 28 Oct 2020.

Vancouver:

Rao AR. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/16246arr30.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rao AR. COMPARISON OF DIFFERENT DENSITY ESTIMATORS FOR INFINITE DIMENSIONAL EXPONENTIAL FAMILIES. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16246arr30

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

5. Agarwal, Amal. Model-Based Clustering of Nonparametric Weighted Networks.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/17363aua257

► Water pollution is a major global environmental problem, and it poses a great environmental risk to public health and biological diversity. This work is motivated…
(more)

Subjects/Keywords: Exponential-family random graphical model; Local likelihood; Variational inference

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

APA (6^{th} Edition):

Agarwal, A. (2019). Model-Based Clustering of Nonparametric Weighted Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17363aua257

Not specified: Masters Thesis or Doctoral Dissertation

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

Agarwal, Amal. “Model-Based Clustering of Nonparametric Weighted Networks.” 2019. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/17363aua257.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Agarwal, Amal. “Model-Based Clustering of Nonparametric Weighted Networks.” 2019. Web. 28 Oct 2020.

Vancouver:

Agarwal A. Model-Based Clustering of Nonparametric Weighted Networks. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/17363aua257.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Agarwal A. Model-Based Clustering of Nonparametric Weighted Networks. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17363aua257

Not specified: Masters Thesis or Doctoral Dissertation

6. Alessandro Henrique da Silva Santos. Modelos não-lineares da família exponencial.

Degree: 2009, Universidade Federal Rural de Pernambuco

URL: http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319

►

Os modelos não-lineares da família exponencial são uma extensão dos modelos generalizados, abrindo um leque de opções para a distribuição da variável resposta e permitindo… (more)

Subjects/Keywords: Biometria; Modelos não-lineares da Família Exponencial; Função de Verossimilhança; Ciências Agrárias; Família Exponencial; Exponential family; Likelihood function; Exponential family nonlinear models

Record Details Similar Records

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

APA (6^{th} Edition):

Santos, A. H. d. S. (2009). Modelos não-lineares da família exponencial. (Thesis). Universidade Federal Rural de Pernambuco. Retrieved from http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319

Not specified: Masters Thesis or Doctoral Dissertation

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

Santos, Alessandro Henrique da Silva. “Modelos não-lineares da família exponencial.” 2009. Thesis, Universidade Federal Rural de Pernambuco. Accessed October 28, 2020. http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Santos, Alessandro Henrique da Silva. “Modelos não-lineares da família exponencial.” 2009. Web. 28 Oct 2020.

Vancouver:

Santos AHdS. Modelos não-lineares da família exponencial. [Internet] [Thesis]. Universidade Federal Rural de Pernambuco; 2009. [cited 2020 Oct 28]. Available from: http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Santos AHdS. Modelos não-lineares da família exponencial. [Thesis]. Universidade Federal Rural de Pernambuco; 2009. Available from: http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319

Not specified: Masters Thesis or Doctoral Dissertation

7. Alessandro Henrique da Silva Santos. Modelos não-lineares da família exponencial.

Degree: 2009, Universidade Federal Rural de Pernambuco

URL: http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319

►

The *exponential* *family* nonlinear models are an extension of the generalized models, opening various options for the distribution of the variable answer and allowing larger…
(more)

Subjects/Keywords: Modelos não-lineares da Família Exponencial; Exponential family; Função de Verossimilhança; Biometria; Exponential family nonlinear models; Likelihood function; Família Exponencial; Ciências Agrárias

Record Details Similar Records

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

APA (6^{th} Edition):

Santos, A. H. d. S. (2009). Modelos não-lineares da família exponencial. (Thesis). Universidade Federal Rural de Pernambuco. Retrieved from http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319

Not specified: Masters Thesis or Doctoral Dissertation

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

Santos, Alessandro Henrique da Silva. “Modelos não-lineares da família exponencial.” 2009. Thesis, Universidade Federal Rural de Pernambuco. Accessed October 28, 2020. http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Santos, Alessandro Henrique da Silva. “Modelos não-lineares da família exponencial.” 2009. Web. 28 Oct 2020.

Vancouver:

Santos AHdS. Modelos não-lineares da família exponencial. [Internet] [Thesis]. Universidade Federal Rural de Pernambuco; 2009. [cited 2020 Oct 28]. Available from: http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Santos AHdS. Modelos não-lineares da família exponencial. [Thesis]. Universidade Federal Rural de Pernambuco; 2009. Available from: http://200.17.137.108/tde_busca/arquivo.php?codArquivo=319

Not specified: Masters Thesis or Doctoral Dissertation

UCLA

8. Danielson, Aaron. Some Models in Relational Systems.

Degree: Statistics, 2018, UCLA

URL: http://www.escholarship.org/uc/item/7365d9n9

► This dissertation contains two distinct parts. The first part presents a theory for the observation process in surveys of human populations. Focus resides on the…
(more)

Subjects/Keywords: Statistics; Counterfactual Adjustment; Exponential Family Models; Instrument Structure; Model Selection; Observation Process

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

APA (6^{th} Edition):

Danielson, A. (2018). Some Models in Relational Systems. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/7365d9n9

Not specified: Masters Thesis or Doctoral Dissertation

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

Danielson, Aaron. “Some Models in Relational Systems.” 2018. Thesis, UCLA. Accessed October 28, 2020. http://www.escholarship.org/uc/item/7365d9n9.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Danielson, Aaron. “Some Models in Relational Systems.” 2018. Web. 28 Oct 2020.

Vancouver:

Danielson A. Some Models in Relational Systems. [Internet] [Thesis]. UCLA; 2018. [cited 2020 Oct 28]. Available from: http://www.escholarship.org/uc/item/7365d9n9.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Danielson A. Some Models in Relational Systems. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/7365d9n9

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

9. Lu, Meng. Probabilistic Models for Aggregate Analysis of Non-Gaussian Data in Biomedicine.

Degree: PhD, Computer Engineering, 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/156478

► Aggregate association analysis is a popular way in genome-wide association studies (GWAS) that analyzes the association between the trait of interest and regions of functionally…
(more)

Subjects/Keywords: Aggregate association analysis; Genome Wide Association Studies; Sparse Exponential Family PCA; Matched PCA

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

APA (6^{th} Edition):

Lu, M. (2015). Probabilistic Models for Aggregate Analysis of Non-Gaussian Data in Biomedicine. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156478

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

Lu, Meng. “Probabilistic Models for Aggregate Analysis of Non-Gaussian Data in Biomedicine.” 2015. Doctoral Dissertation, Texas A&M University. Accessed October 28, 2020. http://hdl.handle.net/1969.1/156478.

MLA Handbook (7^{th} Edition):

Lu, Meng. “Probabilistic Models for Aggregate Analysis of Non-Gaussian Data in Biomedicine.” 2015. Web. 28 Oct 2020.

Vancouver:

Lu M. Probabilistic Models for Aggregate Analysis of Non-Gaussian Data in Biomedicine. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1969.1/156478.

Council of Science Editors:

Lu M. Probabilistic Models for Aggregate Analysis of Non-Gaussian Data in Biomedicine. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156478

Rice University

10. Babkin, Sergii. High-dimensional and dependent data with additional structure.

Degree: PhD, Engineering, 2017, Rice University

URL: http://hdl.handle.net/1911/96140

► The age of computing has enabled the collection of massive amounts of data. These data present numerous statistical challenges, because many data sets are high-dimensional…
(more)

Subjects/Keywords: Dependent data; High-dimensional data; Vector autoregressive process; Exponential-family random graph model; Local dependence

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

APA (6^{th} Edition):

Babkin, S. (2017). High-dimensional and dependent data with additional structure. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/96140

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

Babkin, Sergii. “High-dimensional and dependent data with additional structure.” 2017. Doctoral Dissertation, Rice University. Accessed October 28, 2020. http://hdl.handle.net/1911/96140.

MLA Handbook (7^{th} Edition):

Babkin, Sergii. “High-dimensional and dependent data with additional structure.” 2017. Web. 28 Oct 2020.

Vancouver:

Babkin S. High-dimensional and dependent data with additional structure. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1911/96140.

Council of Science Editors:

Babkin S. High-dimensional and dependent data with additional structure. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/96140

11. Landgraf, Andrew J. Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters.

Degree: PhD, Statistics, 2015, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1437610558

► Principal component analysis (PCA) is very useful for a wide variety of data analysis tasks, but its implicit connection to the Gaussian distribution can be…
(more)

Subjects/Keywords: Statistics; Binary data; Count data; Dimensionality reduction; Exponential family; Logistic PCA; Principal component analysis

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

APA (6^{th} Edition):

Landgraf, A. J. (2015). Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1437610558

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

Landgraf, Andrew J. “Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters.” 2015. Doctoral Dissertation, The Ohio State University. Accessed October 28, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437610558.

MLA Handbook (7^{th} Edition):

Landgraf, Andrew J. “Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters.” 2015. Web. 28 Oct 2020.

Vancouver:

Landgraf AJ. Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2020 Oct 28]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1437610558.

Council of Science Editors:

Landgraf AJ. Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural Parameters. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1437610558

Penn State University

12.
Hummel, Ruth M.
IMPROVING ESTIMATION FOR *EXPONENTIAL*-*FAMILY* RANDOM GRAPH MODELS
.

Degree: 2011, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/11493

► A statistical model for observed network data allows us to both summarize quantitatively the effects that give rise to the network and simulate new networks…
(more)

Subjects/Keywords: composite likelihood; penalized likelihood; pseudolikelihood; maximum likelihood estimation; exponential random graph model; bias correction; Mean value parameterization; %Maximum likelihood estimation; parameter estimation; Markov chain Monte Carlo; Exponential family random graph model; contrastive divergence; exponential families; convex hull

Record Details Similar Records

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

APA (6^{th} Edition):

Hummel, R. M. (2011). IMPROVING ESTIMATION FOR EXPONENTIAL-FAMILY RANDOM GRAPH MODELS . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11493

Not specified: Masters Thesis or Doctoral Dissertation

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

Hummel, Ruth M. “IMPROVING ESTIMATION FOR EXPONENTIAL-FAMILY RANDOM GRAPH MODELS .” 2011. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/11493.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hummel, Ruth M. “IMPROVING ESTIMATION FOR EXPONENTIAL-FAMILY RANDOM GRAPH MODELS .” 2011. Web. 28 Oct 2020.

Vancouver:

Hummel RM. IMPROVING ESTIMATION FOR EXPONENTIAL-FAMILY RANDOM GRAPH MODELS . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/11493.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hummel RM. IMPROVING ESTIMATION FOR EXPONENTIAL-FAMILY RANDOM GRAPH MODELS . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11493

Not specified: Masters Thesis or Doctoral Dissertation

13. Mamane, Salha. Lois de Wishart sur les cônes convexes : Wishart laws on convex cones.

Degree: Docteur es, Mathématiques et leurs interactions, 2017, Angers; University of the Witwatersrand

URL: http://www.theses.fr/2017ANGE0003

►

En analyse multivariée de données de grande dimension, les lois de Wishart définies dans le contexte des modèles graphiques revêtent une grande importance car elles… (more)

Subjects/Keywords: Wishart; Riesz; Modele graphique; Reseau Markovien; Loi gamma matricielle; Graphical models; Markov network; Matrix-Variate gamma; Exponential family; 510

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

APA (6^{th} Edition):

Mamane, S. (2017). Lois de Wishart sur les cônes convexes : Wishart laws on convex cones. (Doctoral Dissertation). Angers; University of the Witwatersrand. Retrieved from http://www.theses.fr/2017ANGE0003

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

Mamane, Salha. “Lois de Wishart sur les cônes convexes : Wishart laws on convex cones.” 2017. Doctoral Dissertation, Angers; University of the Witwatersrand. Accessed October 28, 2020. http://www.theses.fr/2017ANGE0003.

MLA Handbook (7^{th} Edition):

Mamane, Salha. “Lois de Wishart sur les cônes convexes : Wishart laws on convex cones.” 2017. Web. 28 Oct 2020.

Vancouver:

Mamane S. Lois de Wishart sur les cônes convexes : Wishart laws on convex cones. [Internet] [Doctoral dissertation]. Angers; University of the Witwatersrand; 2017. [cited 2020 Oct 28]. Available from: http://www.theses.fr/2017ANGE0003.

Council of Science Editors:

Mamane S. Lois de Wishart sur les cônes convexes : Wishart laws on convex cones. [Doctoral Dissertation]. Angers; University of the Witwatersrand; 2017. Available from: http://www.theses.fr/2017ANGE0003

14.
Piatkowski, Nico Philipp.
* Exponential* families on resource-constrained systems.

Degree: 2018, Technische Universität Dortmund

URL: http://dx.doi.org/10.17877/DE290R-18876

► This work is about the estimation of *exponential* *family* models on resource-constrained systems. Our main goal is learning probabilistic models on devices with highly restricted…
(more)

Subjects/Keywords: exponential family; resource constraints; graphical model; machine learning; regularization; proximal operator; integer learning; polynomial approximation; stochastic quadrature; 004; Exponentialfamilie; Maschinelles Lernen

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

APA (6^{th} Edition):

Piatkowski, N. P. (2018). Exponential families on resource-constrained systems. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-18876

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

Piatkowski, Nico Philipp. “Exponential families on resource-constrained systems.” 2018. Doctoral Dissertation, Technische Universität Dortmund. Accessed October 28, 2020. http://dx.doi.org/10.17877/DE290R-18876.

MLA Handbook (7^{th} Edition):

Piatkowski, Nico Philipp. “Exponential families on resource-constrained systems.” 2018. Web. 28 Oct 2020.

Vancouver:

Piatkowski NP. Exponential families on resource-constrained systems. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2018. [cited 2020 Oct 28]. Available from: http://dx.doi.org/10.17877/DE290R-18876.

Council of Science Editors:

Piatkowski NP. Exponential families on resource-constrained systems. [Doctoral Dissertation]. Technische Universität Dortmund; 2018. Available from: http://dx.doi.org/10.17877/DE290R-18876

15.
Magalla, Champa Hemanthi.
Model
adequacy tests for *exponential* *family* regression models.

Degree: PhD, Department of Statistics, 2012, Kansas State University

URL: http://hdl.handle.net/2097/13640

► The problem of testing for lack of fit in *exponential* *family* regression models is considered. Such nonlinear models are the natural extension of Normal nonlinear…
(more)

Subjects/Keywords: Lack of fit; Exponential family; Statistics (0463)

…Introduction
The problem of testing for lack of fit in *exponential* *family* regression models is… …considered as a sub-manifold of the full *exponential* *family*. Constructed general
alternative models… …statistic for *exponential* *family* regression based on the information
metric is introduced. This… …heteroscedastic Normal model is discussed. In particular, a saturated
3 parameter *exponential* *family*… …literature associated with *exponential* *family* nonlinear regression
models. Several methods of…

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

APA (6^{th} Edition):

Magalla, C. H. (2012). Model adequacy tests for exponential family regression models. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/13640

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

Magalla, Champa Hemanthi. “Model adequacy tests for exponential family regression models.” 2012. Doctoral Dissertation, Kansas State University. Accessed October 28, 2020. http://hdl.handle.net/2097/13640.

MLA Handbook (7^{th} Edition):

Magalla, Champa Hemanthi. “Model adequacy tests for exponential family regression models.” 2012. Web. 28 Oct 2020.

Vancouver:

Magalla CH. Model adequacy tests for exponential family regression models. [Internet] [Doctoral dissertation]. Kansas State University; 2012. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/2097/13640.

Council of Science Editors:

Magalla CH. Model adequacy tests for exponential family regression models. [Doctoral Dissertation]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/13640

Penn State University

16. Agarwal, Amal. Statistical Network Modeling and its Applications in Complex Large-Scale Systems.

Degree: 2020, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/17971aua257

► Model-based clustering of networks has been a major research topic in large scale network analysis. The network relational data is represented in different forms such…
(more)

Subjects/Keywords: Clustering; Environmental studies; Exponential-family random graphical model; Variational Inference; Dynamic Network; Weighted Network; Pollution Detection

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APA (6^{th} Edition):

Agarwal, A. (2020). Statistical Network Modeling and its Applications in Complex Large-Scale Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17971aua257

Not specified: Masters Thesis or Doctoral Dissertation

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

Agarwal, Amal. “Statistical Network Modeling and its Applications in Complex Large-Scale Systems.” 2020. Thesis, Penn State University. Accessed October 28, 2020. https://submit-etda.libraries.psu.edu/catalog/17971aua257.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Agarwal, Amal. “Statistical Network Modeling and its Applications in Complex Large-Scale Systems.” 2020. Web. 28 Oct 2020.

Vancouver:

Agarwal A. Statistical Network Modeling and its Applications in Complex Large-Scale Systems. [Internet] [Thesis]. Penn State University; 2020. [cited 2020 Oct 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/17971aua257.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Agarwal A. Statistical Network Modeling and its Applications in Complex Large-Scale Systems. [Thesis]. Penn State University; 2020. Available from: https://submit-etda.libraries.psu.edu/catalog/17971aua257

Not specified: Masters Thesis or Doctoral Dissertation

Technical University of Lisbon

17. Nogueira, Francisco Alier Valentim. Tarifação em não-vida com um MLG, aplicação prática com a ferramenta R.

Degree: 2015, Technical University of Lisbon

URL: https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/10716

►

Mestrado em Ciências Actuariais

No contexto atual de estagnação económica, de uma nova regulamentação prudencial e de um aumento geral da concorrência, as companhias de… (more)

Subjects/Keywords: Tarifação; Perfil de Risco; Modelos Lineares Generalizados; Família de Dispersão Exponencial; Família Tweedie; Prémio Puro; Ratemaking; Risk Profile; Generalized Linear Models; Exponential Family; Tweedie Family; Pure Premium

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

APA (6^{th} Edition):

Nogueira, F. A. V. (2015). Tarifação em não-vida com um MLG, aplicação prática com a ferramenta R. (Thesis). Technical University of Lisbon. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/10716

Not specified: Masters Thesis or Doctoral Dissertation

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

Nogueira, Francisco Alier Valentim. “Tarifação em não-vida com um MLG, aplicação prática com a ferramenta R.” 2015. Thesis, Technical University of Lisbon. Accessed October 28, 2020. https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/10716.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Nogueira, Francisco Alier Valentim. “Tarifação em não-vida com um MLG, aplicação prática com a ferramenta R.” 2015. Web. 28 Oct 2020.

Vancouver:

Nogueira FAV. Tarifação em não-vida com um MLG, aplicação prática com a ferramenta R. [Internet] [Thesis]. Technical University of Lisbon; 2015. [cited 2020 Oct 28]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/10716.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nogueira FAV. Tarifação em não-vida com um MLG, aplicação prática com a ferramenta R. [Thesis]. Technical University of Lisbon; 2015. Available from: https://www.rcaap.pt/detail.jsp?id=oai:www.repository.utl.pt:10400.5/10716

Not specified: Masters Thesis or Doctoral Dissertation

University of South Africa

18. Sebatjane, Phuti. Understanding patterns of aggregation in count data.

Degree: 2016, University of South Africa

URL: http://hdl.handle.net/10500/22067

► The term aggregation refers to overdispersion and both are used interchangeably in this thesis. In addressing the problem of prevalence of infectious parasite species faced…
(more)

Subjects/Keywords: Aggregations; Autoregressive models; Akaike information criterion; Correlation; Count data; Exponential family; Generalised linear models; Goats; Internal parasites; Hosts; Negative binomial distribution; Overdispersion; Poisson distribution; Sheep; Time series; Zero inflation

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

APA (6^{th} Edition):

Sebatjane, P. (2016). Understanding patterns of aggregation in count data. (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/22067

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

Sebatjane, Phuti. “Understanding patterns of aggregation in count data.” 2016. Masters Thesis, University of South Africa. Accessed October 28, 2020. http://hdl.handle.net/10500/22067.

MLA Handbook (7^{th} Edition):

Sebatjane, Phuti. “Understanding patterns of aggregation in count data.” 2016. Web. 28 Oct 2020.

Vancouver:

Sebatjane P. Understanding patterns of aggregation in count data. [Internet] [Masters thesis]. University of South Africa; 2016. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10500/22067.

Council of Science Editors:

Sebatjane P. Understanding patterns of aggregation in count data. [Masters Thesis]. University of South Africa; 2016. Available from: http://hdl.handle.net/10500/22067

Stockholm University

19. Schubert, Henrik-Alexander. Encouraging Mothers : The effect of German regional childcare policies on maternal employment between 2006 and 2018.

Degree: Sociology, 2020, Stockholm University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-183724

► Childbearing is often associated with employment interruptions in women’s careers. Since 2005, the German federal government has implemented childcare reforms aiming at expanding the…
(more)

Subjects/Keywords: Family policies; maternal employment; German childcare reform; piecewise-constant exponential model; life-course studies; Sociology (excluding Social Work, Social Psychology and Social Anthropology); Sociologi (exklusive socialt arbete, socialpsykologi och socialantropologi)

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APA (6^{th} Edition):

Schubert, H. (2020). Encouraging Mothers : The effect of German regional childcare policies on maternal employment between 2006 and 2018. (Thesis). Stockholm University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-183724

Not specified: Masters Thesis or Doctoral Dissertation

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

Schubert, Henrik-Alexander. “Encouraging Mothers : The effect of German regional childcare policies on maternal employment between 2006 and 2018.” 2020. Thesis, Stockholm University. Accessed October 28, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-183724.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Schubert, Henrik-Alexander. “Encouraging Mothers : The effect of German regional childcare policies on maternal employment between 2006 and 2018.” 2020. Web. 28 Oct 2020.

Vancouver:

Schubert H. Encouraging Mothers : The effect of German regional childcare policies on maternal employment between 2006 and 2018. [Internet] [Thesis]. Stockholm University; 2020. [cited 2020 Oct 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-183724.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schubert H. Encouraging Mothers : The effect of German regional childcare policies on maternal employment between 2006 and 2018. [Thesis]. Stockholm University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-183724

Not specified: Masters Thesis or Doctoral Dissertation

York University

20. Wang, Hang Jing. Adjusted Empirical Likelihood Method and Parametric Higher Order Asymptotic Method with Applications to Finance.

Degree: PhD, Mathematics & Statistics, 2019, York University

URL: http://hdl.handle.net/10315/36265

► In recent years, applying higher order likelihood-based method to obtain inference for a scalar parameter of interest is becoming more popular in statistics because of…
(more)

Subjects/Keywords: Statistics; Adjusted empirical likelihood; Ancillary direction; Coverage probability; Curved exponential family; Modified signed log-likelihood ratio statistic; Nonparametric; Nuisance parameter; Standardized maximum likelihood estimate departure

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

APA (6^{th} Edition):

Wang, H. J. (2019). Adjusted Empirical Likelihood Method and Parametric Higher Order Asymptotic Method with Applications to Finance. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/36265

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

Wang, Hang Jing. “Adjusted Empirical Likelihood Method and Parametric Higher Order Asymptotic Method with Applications to Finance.” 2019. Doctoral Dissertation, York University. Accessed October 28, 2020. http://hdl.handle.net/10315/36265.

MLA Handbook (7^{th} Edition):

Wang, Hang Jing. “Adjusted Empirical Likelihood Method and Parametric Higher Order Asymptotic Method with Applications to Finance.” 2019. Web. 28 Oct 2020.

Vancouver:

Wang HJ. Adjusted Empirical Likelihood Method and Parametric Higher Order Asymptotic Method with Applications to Finance. [Internet] [Doctoral dissertation]. York University; 2019. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/10315/36265.

Council of Science Editors:

Wang HJ. Adjusted Empirical Likelihood Method and Parametric Higher Order Asymptotic Method with Applications to Finance. [Doctoral Dissertation]. York University; 2019. Available from: http://hdl.handle.net/10315/36265

21. VIZCAINO, Lelio Alejandro Arias. Um novo resíduo para classes de modelos de regressão na família exponencial .

Degree: 2016, Universidade Federal de Pernambuco

URL: https://repositorio.ufpe.br/handle/123456789/18636

► entre as principais metodologias estatísticas, a análise de regressão é uma das formas mais efetivas para modelar dados. Neste sentido, a análise de diagnóstico é…
(more)

Subjects/Keywords: Análise de diagnóstico; Modelo de regressão da família exponencial; Modelagem conjunta; Matriz de projeção; Resíduos; Goodness of ﬁt; The exponential family regression model; Joint modelling; Projection matrix; Residual

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

APA (6^{th} Edition):

VIZCAINO, L. A. A. (2016). Um novo resíduo para classes de modelos de regressão na família exponencial . (Masters Thesis). Universidade Federal de Pernambuco. Retrieved from https://repositorio.ufpe.br/handle/123456789/18636

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

VIZCAINO, Lelio Alejandro Arias. “Um novo resíduo para classes de modelos de regressão na família exponencial .” 2016. Masters Thesis, Universidade Federal de Pernambuco. Accessed October 28, 2020. https://repositorio.ufpe.br/handle/123456789/18636.

MLA Handbook (7^{th} Edition):

VIZCAINO, Lelio Alejandro Arias. “Um novo resíduo para classes de modelos de regressão na família exponencial .” 2016. Web. 28 Oct 2020.

Vancouver:

VIZCAINO LAA. Um novo resíduo para classes de modelos de regressão na família exponencial . [Internet] [Masters thesis]. Universidade Federal de Pernambuco; 2016. [cited 2020 Oct 28]. Available from: https://repositorio.ufpe.br/handle/123456789/18636.

Council of Science Editors:

VIZCAINO LAA. Um novo resíduo para classes de modelos de regressão na família exponencial . [Masters Thesis]. Universidade Federal de Pernambuco; 2016. Available from: https://repositorio.ufpe.br/handle/123456789/18636

22. Phillips, Nolan Edward. In Case of Emergency, Don’t Break Glass: The Emergency Management Organizational Field as a Glassy Regime.

Degree: Sociology, 2017, University of California – Irvine

URL: http://www.escholarship.org/uc/item/53p7w559

► The way that relations between organizations and their environments affect their structures important features of organizations. These relations can potentially induce conformity, and their environments…
(more)

Subjects/Keywords: Sociology; emergency management; exponential family random graph models; networks; organizations

…structures and not the mechanisms that generate them. The advent of
*exponential* *family* random graph… …due to computational advances. One of these
methods, *exponential* *family* random graph models… …interorganizational networks.
1.1 *Exponential* *Family* Random Graph Models
*Exponential* *family* random graph… …two different sets of nodes). I then use *exponential* *family*
random graph models to… …assessing the adequacy of *exponential* *family* random graph models. Second,
it produces a new data…

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

APA (6^{th} Edition):

Phillips, N. E. (2017). In Case of Emergency, Don’t Break Glass: The Emergency Management Organizational Field as a Glassy Regime. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/53p7w559

Not specified: Masters Thesis or Doctoral Dissertation

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

Phillips, Nolan Edward. “In Case of Emergency, Don’t Break Glass: The Emergency Management Organizational Field as a Glassy Regime.” 2017. Thesis, University of California – Irvine. Accessed October 28, 2020. http://www.escholarship.org/uc/item/53p7w559.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Phillips, Nolan Edward. “In Case of Emergency, Don’t Break Glass: The Emergency Management Organizational Field as a Glassy Regime.” 2017. Web. 28 Oct 2020.

Vancouver:

Phillips NE. In Case of Emergency, Don’t Break Glass: The Emergency Management Organizational Field as a Glassy Regime. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2020 Oct 28]. Available from: http://www.escholarship.org/uc/item/53p7w559.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Phillips NE. In Case of Emergency, Don’t Break Glass: The Emergency Management Organizational Field as a Glassy Regime. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/53p7w559

Not specified: Masters Thesis or Doctoral Dissertation

23. Robin, Geneviève. Low-rank methods for heterogeneous and multi-source data : Méthodes de rang faible pour les données hétérogènes et multi-source.

Degree: Docteur es, Mathématiques appliquées, 2019, Université Paris-Saclay (ComUE)

URL: http://www.theses.fr/2019SACLX026

►

Dans les applications modernes des statistiques et de l'apprentissage, il est courant que les données récoltées présentent un certain nombre d'imperfections. En particulier, les données… (more)

Subjects/Keywords: Abondance d’espèces; Complétion de matrices; Données hétérogènes; Famille exponentielle; Modèles de rang faible; Exponential family models; Low-rank models; Matrix completion; Species abundance data; 519.5

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APA (6^{th} Edition):

Robin, G. (2019). Low-rank methods for heterogeneous and multi-source data : Méthodes de rang faible pour les données hétérogènes et multi-source. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2019SACLX026

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

Robin, Geneviève. “Low-rank methods for heterogeneous and multi-source data : Méthodes de rang faible pour les données hétérogènes et multi-source.” 2019. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed October 28, 2020. http://www.theses.fr/2019SACLX026.

MLA Handbook (7^{th} Edition):

Robin, Geneviève. “Low-rank methods for heterogeneous and multi-source data : Méthodes de rang faible pour les données hétérogènes et multi-source.” 2019. Web. 28 Oct 2020.

Vancouver:

Robin G. Low-rank methods for heterogeneous and multi-source data : Méthodes de rang faible pour les données hétérogènes et multi-source. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2019. [cited 2020 Oct 28]. Available from: http://www.theses.fr/2019SACLX026.

Council of Science Editors:

Robin G. Low-rank methods for heterogeneous and multi-source data : Méthodes de rang faible pour les données hétérogènes et multi-source. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2019. Available from: http://www.theses.fr/2019SACLX026

Indian Institute of Science

24.
Ashok Kumar, M.
Minimization Problems Based On A Parametric *Family* Of Relative Entropies.

Degree: PhD, Faculty of Engineering, 2017, Indian Institute of Science

URL: http://etd.iisc.ac.in/handle/2005/2649

► We study minimization problems with respect to a one-parameter *family* of generalized relative entropies. These relative entropies, which we call relative -entropies (denoted I (P;…
(more)

Subjects/Keywords: Information Theory; Information Geometry; Kullback-Leiber Divergence; Linear Entropy; Power-law Family; Tsallis Entropy; Pythagorean Property; Relative Entropy; Renyi Entropy; Exponential Family; Relative Entropy Minimization; Ropbust Statistics; Information Projection; Parametric Family; Relative Entropies; Computer Science

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APA (6^{th} Edition):

Ashok Kumar, M. (2017). Minimization Problems Based On A Parametric Family Of Relative Entropies. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2649

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

Ashok Kumar, M. “Minimization Problems Based On A Parametric Family Of Relative Entropies.” 2017. Doctoral Dissertation, Indian Institute of Science. Accessed October 28, 2020. http://etd.iisc.ac.in/handle/2005/2649.

MLA Handbook (7^{th} Edition):

Ashok Kumar, M. “Minimization Problems Based On A Parametric Family Of Relative Entropies.” 2017. Web. 28 Oct 2020.

Vancouver:

Ashok Kumar M. Minimization Problems Based On A Parametric Family Of Relative Entropies. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2017. [cited 2020 Oct 28]. Available from: http://etd.iisc.ac.in/handle/2005/2649.

Council of Science Editors:

Ashok Kumar M. Minimization Problems Based On A Parametric Family Of Relative Entropies. [Doctoral Dissertation]. Indian Institute of Science; 2017. Available from: http://etd.iisc.ac.in/handle/2005/2649

North Carolina State University

25. Boyer, Joseph Guenther. Topics Involving the Gamma Distribution: the Normal Coefficient of Variation and Conditional Monte Carlo.

Degree: PhD, Statistics, 2007, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/3721

► A transformation of the sample coefficient of variation (CV) for normal data is shown to be nearly proportional to a χˆ2 random variable. The associated…
(more)

Subjects/Keywords: exponential distribution; dispersion effects; Jacobian; Type I censoring; exponential regression; Gibbs sampling; Dirichlet distribution; importance sampling; conditional Monte Carlo; nuisance parameters; conditional inference; sufficient statistic; coefficient of variation; exponential family; gamma distribution

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

APA (6^{th} Edition):

Boyer, J. G. (2007). Topics Involving the Gamma Distribution: the Normal Coefficient of Variation and Conditional Monte Carlo. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3721

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

Boyer, Joseph Guenther. “Topics Involving the Gamma Distribution: the Normal Coefficient of Variation and Conditional Monte Carlo.” 2007. Doctoral Dissertation, North Carolina State University. Accessed October 28, 2020. http://www.lib.ncsu.edu/resolver/1840.16/3721.

MLA Handbook (7^{th} Edition):

Boyer, Joseph Guenther. “Topics Involving the Gamma Distribution: the Normal Coefficient of Variation and Conditional Monte Carlo.” 2007. Web. 28 Oct 2020.

Vancouver:

Boyer JG. Topics Involving the Gamma Distribution: the Normal Coefficient of Variation and Conditional Monte Carlo. [Internet] [Doctoral dissertation]. North Carolina State University; 2007. [cited 2020 Oct 28]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3721.

Council of Science Editors:

Boyer JG. Topics Involving the Gamma Distribution: the Normal Coefficient of Variation and Conditional Monte Carlo. [Doctoral Dissertation]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3721

26. Nisa, Khoirin. On multivariate dispersion analysis : Sur l’analyse de dispersion multivariée.

Degree: Docteur es, Mathematiques, 2016, Besançon; Graduate School of the Bogor Agricultural University, Bogor (Indonésie)

URL: http://www.theses.fr/2016BESA2025

►

Cette thèse examine la dispersion multivariée des modelés normales stables Tweedie. Trois estimateurs de fonction variance généralisée sont discutés. Ensuite dans le cadre de la… (more)

Subjects/Keywords: Famille exponentielle; Modèles de dispersion exponentielle; Fonction de variance généralisée; Caractérisation; Maximum de vraisemblance; Variance uniforme minimum sans biais; Exponential family; Generalized variance; Variance function; Characterization; 519; 62H05; 62H12; 60E07; 60E10

Record Details Similar Records

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APA (6^{th} Edition):

Nisa, K. (2016). On multivariate dispersion analysis : Sur l’analyse de dispersion multivariée. (Doctoral Dissertation). Besançon; Graduate School of the Bogor Agricultural University, Bogor (Indonésie). Retrieved from http://www.theses.fr/2016BESA2025

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

Nisa, Khoirin. “On multivariate dispersion analysis : Sur l’analyse de dispersion multivariée.” 2016. Doctoral Dissertation, Besançon; Graduate School of the Bogor Agricultural University, Bogor (Indonésie). Accessed October 28, 2020. http://www.theses.fr/2016BESA2025.

MLA Handbook (7^{th} Edition):

Nisa, Khoirin. “On multivariate dispersion analysis : Sur l’analyse de dispersion multivariée.” 2016. Web. 28 Oct 2020.

Vancouver:

Nisa K. On multivariate dispersion analysis : Sur l’analyse de dispersion multivariée. [Internet] [Doctoral dissertation]. Besançon; Graduate School of the Bogor Agricultural University, Bogor (Indonésie); 2016. [cited 2020 Oct 28]. Available from: http://www.theses.fr/2016BESA2025.

Council of Science Editors:

Nisa K. On multivariate dispersion analysis : Sur l’analyse de dispersion multivariée. [Doctoral Dissertation]. Besançon; Graduate School of the Bogor Agricultural University, Bogor (Indonésie); 2016. Available from: http://www.theses.fr/2016BESA2025

27. Moypemna sembona, Cyrille clovis. Caractérisations des modèles multivariés de stables-Tweedie multiples : Characterizations of multivariates of stables-Tweedie multiples.

Degree: Docteur es, Mathematiques, 2016, Besançon

URL: http://www.theses.fr/2016BESA2071

►

Ce travail de thèse porte sur différentes caractérisations des modèles multivariés de stables-Tweedie multiples dans le cadre des familles exponentielles naturelles sous la propriété de… (more)

Subjects/Keywords: Famille exponentielle naturelle; Steepness; Fonction variance; Variance généralisée; Équation de Monge-Ampère; Polynôme; Quasi orthogonalité; Système de Lévy-Sheffer; Indéfinie divisibilité; Natural exponential family; Steepness; Variance function; Generalized variance function; Monge-Ampere equation; Polynomial; Quasi orthogonality polynomials; Levy-Sheffer system; Infinite divisibility; 518; 62H05; 62E10

Record Details Similar Records

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

APA (6^{th} Edition):

Moypemna sembona, C. c. (2016). Caractérisations des modèles multivariés de stables-Tweedie multiples : Characterizations of multivariates of stables-Tweedie multiples. (Doctoral Dissertation). Besançon. Retrieved from http://www.theses.fr/2016BESA2071

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

Moypemna sembona, Cyrille clovis. “Caractérisations des modèles multivariés de stables-Tweedie multiples : Characterizations of multivariates of stables-Tweedie multiples.” 2016. Doctoral Dissertation, Besançon. Accessed October 28, 2020. http://www.theses.fr/2016BESA2071.

MLA Handbook (7^{th} Edition):

Moypemna sembona, Cyrille clovis. “Caractérisations des modèles multivariés de stables-Tweedie multiples : Characterizations of multivariates of stables-Tweedie multiples.” 2016. Web. 28 Oct 2020.

Vancouver:

Moypemna sembona Cc. Caractérisations des modèles multivariés de stables-Tweedie multiples : Characterizations of multivariates of stables-Tweedie multiples. [Internet] [Doctoral dissertation]. Besançon; 2016. [cited 2020 Oct 28]. Available from: http://www.theses.fr/2016BESA2071.

Council of Science Editors:

Moypemna sembona Cc. Caractérisations des modèles multivariés de stables-Tweedie multiples : Characterizations of multivariates of stables-Tweedie multiples. [Doctoral Dissertation]. Besançon; 2016. Available from: http://www.theses.fr/2016BESA2071

University of Michigan

28. Wright, Dominick' E. Repression and Newtwork Science: Tools in Fight against Terrorism.

Degree: PhD, Political Science, 2010, University of Michigan

URL: http://hdl.handle.net/2027.42/77898

► The dissertation, Repression and Network Science: Tools in Fight against Terrorism, explores what determines post‐terror repression in democracies and what alternative tools network science may…
(more)

Subjects/Keywords: Terrorism; Human Rights; Network Analysis or Network Science; Terror Networks; Network Statistics; Exponential-family Random Graph Modeling; Political Science; Social Sciences

Record Details Similar Records

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

APA (6^{th} Edition):

Wright, D. E. (2010). Repression and Newtwork Science: Tools in Fight against Terrorism. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/77898

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

Wright, Dominick' E. “Repression and Newtwork Science: Tools in Fight against Terrorism.” 2010. Doctoral Dissertation, University of Michigan. Accessed October 28, 2020. http://hdl.handle.net/2027.42/77898.

MLA Handbook (7^{th} Edition):

Wright, Dominick' E. “Repression and Newtwork Science: Tools in Fight against Terrorism.” 2010. Web. 28 Oct 2020.

Vancouver:

Wright DE. Repression and Newtwork Science: Tools in Fight against Terrorism. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/2027.42/77898.

Council of Science Editors:

Wright DE. Repression and Newtwork Science: Tools in Fight against Terrorism. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/77898

29. Babichev, Dmitry. On efficient methods for high-dimensional statistical estimation : Sur les méthodes efficaces d’estimation statistique à haute dimension.

Degree: Docteur es, Informatique, 2019, Paris Sciences et Lettres

URL: http://www.theses.fr/2019PSLEE032

►

Dans cette thèse, nous examinons plusieurs aspects de l'estimation des paramètres pour les statistiques et les techniques d'apprentissage automatique, aussi que les méthodes d'optimisation applicables… (more)

Subjects/Keywords: Estimation des paramètres; Méthode des moments; SGD à pas constant; Famille exponentielle conditionnelle; Fonction objectif du Fenchel-Young; Descente en mirroir; Parameter estimationily; Method of moments; Constant step-size SGD; Conditional exponential family; Fenchel-Young loss; Mirror descent; 004; 519.5

Record Details Similar Records

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

APA (6^{th} Edition):

Babichev, D. (2019). On efficient methods for high-dimensional statistical estimation : Sur les méthodes efficaces d’estimation statistique à haute dimension. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2019PSLEE032

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

Babichev, Dmitry. “On efficient methods for high-dimensional statistical estimation : Sur les méthodes efficaces d’estimation statistique à haute dimension.” 2019. Doctoral Dissertation, Paris Sciences et Lettres. Accessed October 28, 2020. http://www.theses.fr/2019PSLEE032.

MLA Handbook (7^{th} Edition):

Babichev, Dmitry. “On efficient methods for high-dimensional statistical estimation : Sur les méthodes efficaces d’estimation statistique à haute dimension.” 2019. Web. 28 Oct 2020.

Vancouver:

Babichev D. On efficient methods for high-dimensional statistical estimation : Sur les méthodes efficaces d’estimation statistique à haute dimension. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2019. [cited 2020 Oct 28]. Available from: http://www.theses.fr/2019PSLEE032.

Council of Science Editors:

Babichev D. On efficient methods for high-dimensional statistical estimation : Sur les méthodes efficaces d’estimation statistique à haute dimension. [Doctoral Dissertation]. Paris Sciences et Lettres; 2019. Available from: http://www.theses.fr/2019PSLEE032

30. Sears, Timothy. Generalized Maximum Entropy, Convexity and Machine Learning .

Degree: 2008, Australian National University

URL: http://hdl.handle.net/1885/49355

► This thesis identiﬁes and extends techniques that can be linked to the principle of maximum entropy (maxent) and applied to parameter estimation in machine learning…
(more)

Subjects/Keywords: Maximum entropy; Bregman divergence; exponential family; deformed logarithm; escort distribution; non-negative matrix factorization.

…NMF).
Keywords: Maximum entropy, Bregman divergence, *exponential* *family*, deformed… …hence an *exponential* *family* distribution. The freedom introduced in (1.4) can be… …*exponential* *family* as distributions and will be taken up in Chapter 4.
1.1.2
Non-SBG entropy… …has the form of a q-*exponential* *family*.
A graphical comparison of the expq function (… …calculate a dual problem. However, in most presentations of *exponential* *family* models, the dual…

Record Details Similar Records

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

APA (6^{th} Edition):

Sears, T. (2008). Generalized Maximum Entropy, Convexity and Machine Learning . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/49355

Not specified: Masters Thesis or Doctoral Dissertation

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

Sears, Timothy. “Generalized Maximum Entropy, Convexity and Machine Learning .” 2008. Thesis, Australian National University. Accessed October 28, 2020. http://hdl.handle.net/1885/49355.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sears, Timothy. “Generalized Maximum Entropy, Convexity and Machine Learning .” 2008. Web. 28 Oct 2020.

Vancouver:

Sears T. Generalized Maximum Entropy, Convexity and Machine Learning . [Internet] [Thesis]. Australian National University; 2008. [cited 2020 Oct 28]. Available from: http://hdl.handle.net/1885/49355.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sears T. Generalized Maximum Entropy, Convexity and Machine Learning . [Thesis]. Australian National University; 2008. Available from: http://hdl.handle.net/1885/49355

Not specified: Masters Thesis or Doctoral Dissertation