Regression density estimation with variational methods and stochastic approximation
10.1080/10618600.2012.679897
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sg-nus-scholar.10635-1053262023-10-27T09:15:00Z Regression density estimation with variational methods and stochastic approximation Nott, D.J. Tan, S.L. Villan, M. Kohn, R. STATISTICS & APPLIED PROBABILITY Bayesian model selection Heteroscedasticity Mixtures of experts Stochastic approximation Variational bayes 10.1080/10618600.2012.679897 Journal of Computational and Graphical Statistics 21 3 797-820 2014-10-28T05:14:39Z 2014-10-28T05:14:39Z 2012 Article Nott, D.J., Tan, S.L., Villan, M., Kohn, R. (2012). Regression density estimation with variational methods and stochastic approximation. Journal of Computational and Graphical Statistics 21 (3) : 797-820. ScholarBank@NUS Repository. https://doi.org/10.1080/10618600.2012.679897 10618600 http://scholarbank.nus.edu.sg/handle/10635/105326 000308282000013 Scopus |
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Bayesian model selection Heteroscedasticity Mixtures of experts Stochastic approximation Variational bayes |
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Bayesian model selection Heteroscedasticity Mixtures of experts Stochastic approximation Variational bayes Nott, D.J. Tan, S.L. Villan, M. Kohn, R. Regression density estimation with variational methods and stochastic approximation |
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10.1080/10618600.2012.679897 |
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STATISTICS & APPLIED PROBABILITY |
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STATISTICS & APPLIED PROBABILITY Nott, D.J. Tan, S.L. Villan, M. Kohn, R. |
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Nott, D.J. Tan, S.L. Villan, M. Kohn, R. |
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Nott, D.J. |
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Regression density estimation with variational methods and stochastic approximation |
title_short |
Regression density estimation with variational methods and stochastic approximation |
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Regression density estimation with variational methods and stochastic approximation |
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Regression density estimation with variational methods and stochastic approximation |
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Regression density estimation with variational methods and stochastic approximation |
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regression density estimation with variational methods and stochastic approximation |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/105326 |
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