Simulation-based Bayesian inference from privacy-protected data
Many modern statistical analysis and machine learning applications require training models on sensitive user data. Differential privacy provides a formal guarantee that …
yifei-xiong
•
•
1 min read
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
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 …
