David T. Frazier
Statistics and Probability · 2016–2022
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 51 citations into it
- Artificial Intelligence — 48 citations into it
- Economics and Econometrics — 36 citations into it
- Finance — 20 citations into it
- Management Science and Operations Research — 19 citations into it
- Mathematical Physics — 6 citations into it
Whom David T. Frazier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- MARK A. Beaumont
- Bjørn Eraker
- Gary Koop
- Scott Anthony Sisson
- Arnaud Doucet
- Jim E. Griffin
- Gareth O. Roberts
- Tilmann Gneiting
- Sara Martino
- Stephen G. Walker
Who trusts David T. Frazier overall
Papers from David T. Frazier's perspective
Ordered by how strongly the researchers David T. Frazier trusts endorse each paper. Same corpus, a different order for every researcher.
- Sampling-Based Approaches to Calculating Marginal Densities
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- The pseudo-marginal approach for efficient Monte Carlo computations
- Estimation of population growth or decline in genetically monitored populations.
- BAYESIAN THEORY
- Strictly Proper Scoring Rules, Prediction, and Estimation
- The Pricing of Options and Corporate Liabilities
- Variational Inference: A Review for Statisticians
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- MCMC Analysis of Diffusion Models With Application to Finance
Their papers
- Asymptotic properties of approximate Bayesian computation (2016) — 112 citations
- Bayesian forecasting in economics and finance: A modern review (2022) — 47 citations