SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELS
Ph.D
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2024
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sg-nus-scholar.10635-2476332024-04-03T00:26:01Z SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELS ZHANG XINYU STATISTICS AND DATA SCIENCE Cheng Li Crossed mixed effects models, latent variables, stochastic gradient Langevin dynamics, missing data, scalable computation Ph.D DOCTOR OF PHILOSOPHY (FOS) 2024-03-31T18:00:32Z 2024-03-31T18:00:32Z 2023-08-05 Thesis ZHANG XINYU (2023-08-05). SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/247633 0009-0008-7164-2912 en |
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National University of Singapore |
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NUS Library |
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Asia |
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Singapore Singapore |
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NUS Library |
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ScholarBank@NUS |
language |
English |
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Crossed mixed effects models, latent variables, stochastic gradient Langevin dynamics, missing data, scalable computation |
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Crossed mixed effects models, latent variables, stochastic gradient Langevin dynamics, missing data, scalable computation ZHANG XINYU SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELS |
description |
Ph.D |
author2 |
STATISTICS AND DATA SCIENCE |
author_facet |
STATISTICS AND DATA SCIENCE ZHANG XINYU |
format |
Theses and Dissertations |
author |
ZHANG XINYU |
author_sort |
ZHANG XINYU |
title |
SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELS |
title_short |
SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELS |
title_full |
SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELS |
title_fullStr |
SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELS |
title_full_unstemmed |
SCALABLE BAYESIAN INFERENCE FOR LARGE CROSSED MIXED EFFECTS MODELS |
title_sort |
scalable bayesian inference for large crossed mixed effects models |
publishDate |
2024 |
url |
https://scholarbank.nus.edu.sg/handle/10635/247633 |
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1795302065381048320 |