Dirichlet process

Results: 295



#Item
91Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness Frederico Z. Poleto1 , Carlos Daniel Paulino2,5 , Julio M. Singer3 , and Geert Molenberghs4 1 IME,

Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness Frederico Z. Poleto1 , Carlos Daniel Paulino2,5 , Julio M. Singer3 , and Geert Molenberghs4 1 IME,

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Source URL: www.statistics.gov.hk

Language: English - Date: 2013-08-22 04:39:13
92The Hong Kong University of Science & Technology Human Language Technology Center Department of Information & Systems Management Department of Mathematics Department of Computer Science and Engineering JOINT STATISTICS S

The Hong Kong University of Science & Technology Human Language Technology Center Department of Information & Systems Management Department of Mathematics Department of Computer Science and Engineering JOINT STATISTICS S

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Source URL: www.bm.ust.hk

Language: English - Date: 2008-05-18 21:48:18
93An HDP-HMM for Systems with State Persistence Emily B. Fox Department of EECS, Massachusetts Institute of Technology, Cambridge, MAErik B. Sudderth Department of EECS, University of California, Berkeley, CA 94720

An HDP-HMM for Systems with State Persistence Emily B. Fox Department of EECS, Massachusetts Institute of Technology, Cambridge, MAErik B. Sudderth Department of EECS, University of California, Berkeley, CA 94720

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Source URL: wiki.inf.ed.ac.uk

Language: English - Date: 2009-03-05 07:38:32
94The Sequence Memoizer ∗ Frank Wood  Department of Statistics

The Sequence Memoizer ∗ Frank Wood Department of Statistics

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Source URL: www.stats.ox.ac.uk

Language: English - Date: 2012-09-11 11:52:10
95Mixed Membership Models David M. Blei Columbia University October 31, 2014  Introduction

Mixed Membership Models David M. Blei Columbia University October 31, 2014 Introduction

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:19
96Nonparametric Bayesian Texture Learning and Synthesis Long (Leo) Zhu1 Yuanhao Chen2 William Freeman1 Antonio Torralba1 1 2 CSAIL, MIT

Nonparametric Bayesian Texture Learning and Synthesis Long (Leo) Zhu1 Yuanhao Chen2 William Freeman1 Antonio Torralba1 1 2 CSAIL, MIT

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Source URL: people.csail.mit.edu

Language: English - Date: 2009-11-05 17:16:11
97Forecasting Multi-Appliance Usage for Smart Home Energy Management Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza and Sarvapali D. Ramchurn University of Southampton, UK. {nct1g10, jem1c10, ltt08r,

Forecasting Multi-Appliance Usage for Smart Home Energy Management Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza and Sarvapali D. Ramchurn University of Southampton, UK. {nct1g10, jem1c10, ltt08r,

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Source URL: eprints.soton.ac.uk

Language: English - Date: 2013-04-23 11:55:32
98tpami_submission_review_nov

tpami_submission_review_nov

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2014-06-03 10:22:50
99BAYESIAN STATISTICS 8 Proceedings of the Eighth Valencia International Meeting June 2–6, 2006 Edited by

BAYESIAN STATISTICS 8 Proceedings of the Eighth Valencia International Meeting June 2–6, 2006 Edited by

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Source URL: www.uv.es

Language: English - Date: 2007-10-03 04:30:10
100Nonparametric Spatial Models for Extremes: Application to Extreme Temperature Data. ∗ Montserrat Fuentes, John Henry, and Brian Reich SUMMARY

Nonparametric Spatial Models for Extremes: Application to Extreme Temperature Data. ∗ Montserrat Fuentes, John Henry, and Brian Reich SUMMARY

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Source URL: www.nrcse.washington.edu

Language: English - Date: 2010-05-13 11:28:30