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You searched for subject:(Exponential Family). Showing records 1 – 30 of 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

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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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


UCLA

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

Degree: Statistics, 2018, UCLA

 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 (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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

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

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APA (6th 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 (16th 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 (7th 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

 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

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

APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

  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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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)

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

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APA (6th 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 (16th 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 (7th 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

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

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APA (6th 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 (16th 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 (7th 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

 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

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

APA (6th 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 (16th 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 (7th 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

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

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

APA (6th 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 (16th 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 (7th 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

 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… 

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

APA (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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

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