Ming Han

2009–2011

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Ming Han trusts overall

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

  1. James O. Berger

Who trusts Ming Han overall

  1. Hassan M. Okasha

Papers from Ming Han's perspective

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

  1. Non‐Gaussian Ornstein–Uhlenbeck‐based models and some of their uses in financial economics
  2. Monte Carlo Statistical Methods
  3. Bayesian inference for non‐Gaussian Ornstein–Uhlenbeck stochastic volatility processes
  4. Monte Carlo strategies in scientific computing
  5. Spline Models for Observational Data
  6. Objective Bayesian Analysis of Spatially Correlated Data
  7. Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors
  8. Extending conventional priors for testing general hypotheses in linear models
  9. Objective Bayesian Methods for Model Selection: Introduction and Comparison
  10. Bayesian Treed Gaussian Process Models With an Application to Computer Modeling

Their papers