Didier Nibbering

Statistics and Probability · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Didier Nibbering trusts overall

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

  1. Bjørn Eraker

Papers from Didier Nibbering's perspective

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

  1. Sampling-Based Approaches to Calculating Marginal Densities
  2. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  3. The pseudo-marginal approach for efficient Monte Carlo computations
  4. Estimation of population growth or decline in genetically monitored populations.
  5. BAYESIAN THEORY
  6. Strictly Proper Scoring Rules, Prediction, and Estimation
  7. The Pricing of Options and Corporate Liabilities
  8. MCMC Analysis of Diffusion Models With Application to Finance
  9. Approximate Bayesian computational methods (Statistics and computing)
  10. Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator

Their papers