Generalized Species Sampling Priors With Latent Beta Reinforcements
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Publication:4975618
DOI10.1080/01621459.2014.950735zbMath1368.62125arXiv1012.0866OpenAlexW1970215483WikidataQ35357671 ScholiaQ35357671MaRDI QIDQ4975618
Federico Bassetti, Fabrizio Leisen, Edoardo M. Airoldi, Thiago Costa, Michele Guindani
Publication date: 7 August 2017
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1012.0866
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Nonparametric inference (62G99) Exchangeability for stochastic processes (60G09)
Related Items (14)
Asymptotics of certain conditionally identically distributed sequences ⋮ Bayesian temporal density estimation with autoregressive species sampling models ⋮ More nonparametric Bayesian inference in applications ⋮ Bayesian Predictive Inference Without a Prior ⋮ Bayesian Modeling of Sequential Discoveries ⋮ Covariate dependent beta-GoS process ⋮ A note on nonparametric inference for species variety with Gibbs-type priors ⋮ A class of models for Bayesian predictive inference ⋮ A hierarchical Bayesian model for inference of copy number variants and their association to gene expression ⋮ A Bayesian nonparametric spiked process prior for dynamic model selection ⋮ Demand Models With Random Partitions ⋮ On a notion of partially conditionally identically distributed sequences ⋮ A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data ⋮ Species Sampling Priors for Modeling Dependence: An Application to the Detection of Chromosomal Aberrations
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