Gibbs Sampler

SOMA: A Novel Sampler for Bayesian Inference from Privatized Data

Making valid statistical inferences from privatized data is a key challenge in modern analysis. In Bayesian settings, data augmentation MCMC (DAMCMC) methods impute unobserved …

yifei-xiong

• May 1, 2025 • 1 min read

Gibbs Sampler

Spectral gap bounds for reversible hybrid Gibbs chains

Hybrid Gibbs samplers represent a prominent class of approximated Gibbs algorithms that utilize Markov chains to approximate conditional distributions, with the …

qian-qin

• Mar 20, 2025 • 1 min read

Computational Biology

SNP-Slice: A Bayesian nonparametric framework to resolve SNP haplotypes in mixed infections

Multi-strain infection is a common yet under-investigated phenomenon of many pathogens. Currently,biologists analyzing SNP information have to discard mixed infection …

Nianqiao Phyllis Ju

• Jun 14, 2024 • 1 min read

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Gibbs Sampler

SOMA: A Novel Sampler for Bayesian Inference from Privatized Data

Spectral gap bounds for reversible hybrid Gibbs chains

SNP-Slice: A Bayesian nonparametric framework to resolve SNP haplotypes in mixed infections