3 papers
stat.CO2020
Particle Gibbs Sampling for Bayesian Phylogenetic inference
Shijia Wang, Liangliang Wang
The combinatorial sequential Monte Carlo (CSMC) has been demonstrated to be an efficient complementary method to the standard Markov chain Monte Carlo (MCMC) for Bayesian phylogene…
stat.ML2019
Random Tessellation Forests
Shufei Ge, Shijia Wang, Yee Whye Teh +2
Space partitioning methods such as random forests and the Mondrian process are powerful machine learning methods for multi-dimensional and relational data, and are based on recursi…
q-bio.PE2018
An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics
Liangliang Wang, Shijia Wang, Alexandre Bouchard-Côté
We describe an "embarrassingly parallel" method for Bayesian phylogenetic inference, annealed Sequential Monte Carlo, based on recent advances in the Sequential Monte Carlo literat…