Peigui Liu

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peigui Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Nial Friel
  2. Eric Laloy
  3. Shlomo P. Neuman
  4. Radford M. Neal
  5. John Skilling
  6. U. von Toussaint
  7. Jasper A. Vrugt
  8. Andrew Gelman
  9. Dan Lu
  10. Robert E. Kass

Papers from Peigui Liu's perspective

Ordered by how strongly the researchers Peigui Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
  2. Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
  3. Marginal Likelihood From the Metropolis–Hastings Output
  4. Bayes factors
  5. Computing Bayes factors using thermodynamic integration. (Systematic Biology)
  6. Maximum likelihood Bayesian averaging of uncertain model predictions
  7. Marginal likelihood estimation via power posteriors
  8. High‐dimensional posterior exploration of hydrologic models using multiple‐try DREAM(ZS) and high‐performance computing
  9. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
  10. Nested sampling for general Bayesian computation

Their papers