David I. Hastie

Statistics and Probability · 2012

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 11 citations into it; #6,697 of 12,932 by trust here, #12,077 by citations
• Artificial Intelligence — 10 citations into it; #18,479 of 35,345 by trust here, #34,213 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom David I. Hastie trusts overall

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

1. Peter J. Green
2. Simon J. Godsill
3. Radford M. Neal
4. Matthew Stephens
5. Gareth O. Roberts
6. Stuart Geman
7. Mário A. T. Figueiredo
8. Steve P. Brooks
9. Jeffrey S. Rosenthal
10. Antonietta Mira

Who trusts David I. Hastie overall

1. Mevin B. Hooten
2. M. Lunt
3. N. Hobbs
4. M. Rigby
5. A. Ganesan

Papers from David I. Hastie's perspective

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

1. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
2. Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods
3. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
4. Optimal scaling of discrete approximations to Langevin diffusions
5. On the Relationship Between Markov chain Monte Carlo Methods for Model Uncertainty
6. Sequential Monte Carlo samplers
7. Delayed rejection in reversible jump Metropolis–Hastings
8. Modelling Heterogeneity With and Without the Dirichlet Process
9. Sampling-Based Approaches to Calculating Marginal Densities
10. Trans-dimensional Markov chain Monte Carlo

Their papers

• Model choice using reversible jump Markov chain Monte Carlo (2012) — 115 citations