2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.CO2026
Compound Auxiliary Metropolis: Incorporating Auxiliary Variables into Multi-Candidate MCMC
Renny Doig, Liangliang Wang
Multiple-try Metropolis (MTM) is a Markov chain Monte Carlo (MCMC) algorithm that improves local transition efficiency by evaluating multiple candidate draws at each iteration. How…
stat.CO2025
A Unified Framework for Multiple-Try Metropolis: Construction and Empirical Benchmarks
Renny Doig, Liangliang Wang
The multiple-try Metropolis (MTM) algorithm uses a compound proposal with multiple candidate draws to improve local sampling efficiency. While several methodological works have con…
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…