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Nonparametric Bayes modelling of count processes

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Publication:2870249
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DOI10.1093/biomet/ast037zbMath1279.62202arXiv1307.2822OpenAlexW2011972365MaRDI QIDQ2870249

Antonio Canale, David B. Dunson

Publication date: 17 January 2014

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1307.2822


zbMATH Keywords

splineslongitudinal datastochastic processesgeneralized linear mixed modelshierarchical modelsPoisson modelscount functional data


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Monte Carlo methods (65C05) Inference from stochastic processes (62M99) Numerical analysis or methods applied to Markov chains (65C40) Nonparametric inference (62G99)


Related Items (3)

Bayesian joint modeling of chemical structure and dose response curves ⋮ A simulation framework for correlated count data of features subsets in high-throughput sequencing or proteomics experiments ⋮ Simultaneous transformation and rounding (STAR) models for integer-valued data




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