68 citations · 118 across the 12 of their papers we have counts for
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stat.CO2025
Particle Data Cloning for Complex Ordinary Differential Equations
Donghui Son, Liangliang Wang
Ordinary differential equations (ODEs) are fundamental tools for modeling complex dynamic systems across scientific disciplines. However, parameter estimation in ODE models is chal…
stat.CO2020★ 1 cited
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.CO2020★ 2 cited
Adaptive semiparametric Bayesian differential equations via sequential Monte Carlo
Shijia Wang, Shufei Ge, Renny Doig +1
Nonlinear differential equations (DEs) are used in a wide range of scientific problems to model complex dynamic systems. The differential equations often contain unknown parameters…