dirichlet process priors Latest Research Papers

Modeling severity of motorcycle crashes with Dirichlet process priors

Journal of Transportation Safety & Security ◽

10.1080/19439962.2020.1738613 ◽

2020 ◽

pp. 1-22

Author(s):

Angela E. Kitali ◽

Emmanuel Kidando ◽

Priyanka Alluri ◽

Thobias Sando ◽

Jimoku Hinda Salum

Keyword(s):

Dirichlet Process ◽

Dirichlet Process Priors ◽

Motorcycle Crashes

Bayesian Neural Networks with Dependent Dirichlet Process Priors. Application to Pairs Trading

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH ◽

10.24818/18423264/52.4.18.01 ◽

2018 ◽

Vol 52 (4/2018) ◽

pp. 5-18

Author(s):

RUXANDA GHEORGHE ◽

OPINCARIU SORIN

Keyword(s):

Neural Networks ◽

Dirichlet Process ◽

Pairs Trading ◽

Bayesian Neural Networks ◽

Dirichlet Process Priors ◽

Dependent Dirichlet Process

Flexible shrinkage estimation of subgroup effects through Dirichlet process priors

Journal of Biopharmaceutical Statistics ◽

10.1080/10543406.2016.1226327 ◽

2016 ◽

Vol 26 (6) ◽

pp. 1040-1055 ◽

Cited By ~ 8

Author(s):

Margaret Gamalo-Siebers ◽

Ram Tiwari ◽

Lisa LaVange

Keyword(s):

Dirichlet Process ◽

Shrinkage Estimation ◽

Dirichlet Process Priors ◽

Subgroup Effects

Novel Wideband DOA Estimation Based on Sparse Bayesian Learning With Dirichlet Process Priors

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2015.2481790 ◽

2016 ◽

Vol 64 (2) ◽

pp. 275-289 ◽

Cited By ~ 49

Author(s):

Lu Wang ◽

Lifan Zhao ◽

Guoan Bi ◽

Chunru Wan ◽

Liren Zhang ◽

...

Keyword(s):

Dirichlet Process ◽

Bayesian Learning ◽

Doa Estimation ◽

Sparse Bayesian Learning ◽

Dirichlet Process Priors

Matrix-Variate Dirichlet Process Priors with Applications

Bayesian Analysis ◽

10.1214/13-ba853 ◽

2014 ◽

Vol 9 (2) ◽

pp. 259-286

Author(s):

Zhihua Zhang ◽

Dakan Wang ◽

Guang Dai ◽

Michael I. Jordan

Keyword(s):

Dirichlet Process ◽

Dirichlet Process Priors

Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors

Springer Proceedings in Mathematics & Statistics - Topics in Nonparametric Statistics ◽

10.1007/978-1-4939-0569-0_24 ◽

2014 ◽

pp. 259-269

Author(s):

Silvia Polettini

Keyword(s):

Dirichlet Process ◽

Small Area ◽

Small Area Estimation ◽

Area Estimation ◽

Dirichlet Process Priors

Estimation of Dirichlet process priors with monotone missing data

Journal of Nonparametric Statistics ◽

10.1080/10485252.2013.804074 ◽

2013 ◽

Vol 25 (4) ◽

pp. 787-807 ◽

Cited By ~ 2

Author(s):

Lei Yang ◽

Xianyi Wu

Keyword(s):

Missing Data ◽

Dirichlet Process ◽

Dirichlet Process Priors

Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification

The 2012 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2012.6252554 ◽

2012 ◽

Cited By ~ 8

Author(s):

Hyohyeong Kang ◽

Seungjin Choi

Keyword(s):

Spatial Patterns ◽

Dirichlet Process ◽

Eeg Classification ◽

Common Spatial Patterns ◽

Dirichlet Process Priors

Contextual learning in ground-penetrating radar data using Dirichlet process priors

10.1117/12.884872 ◽

2011 ◽

Cited By ~ 1

Author(s):

Christopher R. Ratto ◽

Kenneth D. Morton, Jr. ◽

Leslie M. Collins ◽

Peter A. Torrione

Keyword(s):

Ground Penetrating Radar ◽

Dirichlet Process ◽

Radar Data ◽

Contextual Learning ◽

Dirichlet Process Priors ◽

Ground Penetrating

Generative Supervised Classification Using Dirichlet Process Priors

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2010.21 ◽

2010 ◽

Vol 32 (10) ◽

pp. 1781-1794 ◽

Cited By ~ 7

Author(s):

M Davy ◽

J.-Y Tourneret

Keyword(s):

Dirichlet Process ◽

Supervised Classification ◽

Dirichlet Process Priors

dirichlet process priors
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Modeling severity of motorcycle crashes with Dirichlet process priors

Bayesian Neural Networks with Dependent Dirichlet Process Priors. Application to Pairs Trading

Flexible shrinkage estimation of subgroup effects through Dirichlet process priors

Novel Wideband DOA Estimation Based on Sparse Bayesian Learning With Dirichlet Process Priors

Matrix-Variate Dirichlet Process Priors with Applications

Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors

Estimation of Dirichlet process priors with monotone missing data

Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification

Contextual learning in ground-penetrating radar data using Dirichlet process priors

Generative Supervised Classification Using Dirichlet Process Priors

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dirichlet process priorsRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Modeling severity of motorcycle crashes with Dirichlet process priors

Bayesian Neural Networks with Dependent Dirichlet Process Priors. Application to Pairs Trading

Flexible shrinkage estimation of subgroup effects through Dirichlet process priors

Novel Wideband DOA Estimation Based on Sparse Bayesian Learning With Dirichlet Process Priors

Matrix-Variate Dirichlet Process Priors with Applications

Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors

Estimation of Dirichlet process priors with monotone missing data

Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification

Contextual learning in ground-penetrating radar data using Dirichlet process priors

Generative Supervised Classification Using Dirichlet Process Priors

dirichlet process priors
Recently Published Documents