Bayesian density estimation and model selection using nonparametric hierarchical mixtures

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2009.11.002 ◽

2010 ◽

Vol 54 (4) ◽

pp. 816-832 ◽

Author(s):

Raffaele Argiento ◽

Alessandra Guglielmi ◽

Antonio Pievatolo

Keyword(s):

Model Selection ◽

Density Estimation ◽

Bayesian Density Estimation

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Exact Minimax Strategies for Predictive Density Estimation, Data Compression, and Model Selection

IEEE Transactions on Information Theory ◽

10.1109/tit.2004.836922 ◽

2004 ◽

Vol 50 (11) ◽

pp. 2708-2726 ◽

Author(s):

F. Liang ◽

A. Barron

Keyword(s):

Model Selection ◽

Data Compression ◽

Density Estimation ◽

Predictive Density ◽

Minimax Strategies

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Bayesian density estimation for compositional data using random Bernstein polynomials

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2015.01.006 ◽

2015 ◽

Vol 166 ◽

pp. 116-125 ◽

Author(s):

Andrés F. Barrientos ◽

Alejandro Jara ◽

Fernando A. Quintana

Keyword(s):

Density Estimation ◽

Compositional Data ◽

Bernstein Polynomials ◽

Bayesian Density Estimation

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The L1-consistency of Dirichlet mixtures in multivariate Bayesian density estimation

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2010.06.012 ◽

2010 ◽

Vol 101 (10) ◽

pp. 2411-2419 ◽

Author(s):

Yuefeng Wu ◽

Subhashis Ghosal

Keyword(s):

Density Estimation ◽

Dirichlet Mixtures ◽

Bayesian Density Estimation

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Exact minimax strategies for predictive density estimation, data compression and model selection

Proceedings IEEE International Symposium on Information Theory, ◽

10.1109/isit.2002.1023421 ◽

2003 ◽

Author(s):

Feng Liang ◽

A.R. Barron

Keyword(s):

Model Selection ◽

Data Compression ◽

Density Estimation ◽

Predictive Density ◽

Minimax Strategies

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Bayesian Density Estimation and Inference Using Mixtures

Journal of the American Statistical Association ◽

10.1080/01621459.1995.10476550 ◽

1995 ◽

Vol 90 (430) ◽

pp. 577-588 ◽

Author(s):

Michael D. Escobar ◽

Mike West

Keyword(s):

Density Estimation ◽

Bayesian Density Estimation

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Model selection for Support Vector Machines based on kernel density estimation

2010 Chinese Control and Decision Conference ◽

10.1109/ccdc.2010.5498150 ◽

2010 ◽

Author(s):

Zhu Jin ◽

Xiaoping Ma

Keyword(s):

Support Vector Machines ◽

Model Selection ◽

Density Estimation ◽

Kernel Density Estimation ◽

Kernel Density ◽

Support Vector ◽

Vector Machines ◽

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L-kernel Density Estimation for Bayesian Model Selection

Statistical Data Science ◽

10.1142/9781786345400_0005 ◽

2018 ◽

pp. 69-97

Author(s):

Mark Briers

Keyword(s):

Model Selection ◽

Density Estimation ◽

Kernel Density Estimation ◽

Bayesian Model ◽

Kernel Density ◽

Bayesian Model Selection

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Convergence rates for Bayesian density estimation of infinite-dimensional exponential families

The Annals of Statistics ◽

10.1214/009053606000000911 ◽

2006 ◽

Vol 34 (6) ◽

pp. 2897-2920 ◽

Author(s):

Catia Scricciolo

Keyword(s):

Density Estimation ◽

Convergence Rates ◽

Exponential Families ◽

Infinite Dimensional ◽

Bayesian Density Estimation

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Semi-parametric Bayesian density estimation using ranked set sample in the presence of ranking error

Environmental and Ecological Statistics ◽

10.1007/s10651-016-0340-4 ◽

2016 ◽

Vol 23 (2) ◽

pp. 301-316 ◽

Author(s):

Manoj Chacko ◽

Kaushik Ghosh

Keyword(s):

Density Estimation ◽

Ranked Set Sample ◽

Ranking Error ◽

Bayesian Density Estimation

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BAYESIAN DENSITY ESTIMATION BY MIXTURES OF NORMAL DISTRIBUTIONS11This research was partially supported by the National Science Foundation under Grant MCS77-2121.

Recent Advances in Statistics ◽

10.1016/b978-0-12-589320-6.50018-6 ◽

1983 ◽

pp. 287-302 ◽

Author(s):

Thomas S. Ferguson

Keyword(s):

Density Estimation ◽

National Science Foundation ◽

National Science ◽

Bayesian Density Estimation

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