Worapree Maneesoonthorn

Economics and Econometrics · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 40 citations into it
• Statistics and Probability — 39 citations into it
• Artificial Intelligence — 37 citations into it
• Finance — 24 citations into it
• Management Science and Operations Research — 19 citations into it

Whom Worapree Maneesoonthorn trusts overall

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

1. Bjørn Eraker
2. Gary Koop
3. MARK A. Beaumont
4. Arnaud Doucet
5. Jim E. Griffin
6. Tilmann Gneiting
7. Sara Martino
8. Gareth O. Roberts
9. Stephen G. Walker
10. Vivek S. Borkar

Papers from Worapree Maneesoonthorn's perspective

Ordered by how strongly the researchers Worapree Maneesoonthorn 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. Sampling the Dirichlet Mixture Model with Slices (Communications in statistics. Simulation and computation)

Their papers

• Bayesian forecasting in economics and finance: A modern review (2022) — 47 citations
• Discussion of ‘Deep learning for finance: deep portfolios’ (2017) — 10 citations