P. de Valpine

Statistics and Probability · 2002–2015

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom P. de Valpine trusts overall

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

  1. Bernard Walter Silverman
  2. Hans R. Künsch
  3. Thomas A. Severini
  4. Walter R. Gilks
  5. Neil J. Gordon
  6. Michael K. Pitt
  7. Greg C. G. Wei
  8. Jun S. Liu
  9. Garland B. Durham
  10. Geof H. Givens

Who trusts P. de Valpine overall

  1. Elise F. Zipkin
  2. J. Timothy Wootton
  3. J. Sabo
  4. Brian Dennis
  5. Kohji Yamamura
  6. Christopher Nemeth
  7. Olivier Gimenez
  8. Sarah P. Saunders
  9. M. Emmerson
  10. Aaron M. Ellison

Papers from P. de Valpine's perspective

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

  1. Sampling-Based Approaches to Calculating Marginal Densities
  2. Density Estimation for Statistics and Data Analysis
  3. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  4. Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
  5. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  6. Sequential Monte Carlo Methods in Practice
  7. Following a moving target—Monte Carlo inference for dynamic Bayesian models
  8. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
  9. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  10. Inference from Iterative Simulation Using Multiple Sequences

Their papers