Ruben Loaiza-Maya
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
- Statistics and Probability — 39 citations into it
- Artificial Intelligence — 37 citations into it
- Economics and Econometrics — 36 citations into it
- Finance — 20 citations into it
- Management Science and Operations Research — 19 citations into it
Whom Ruben Loaiza-Maya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ruben Loaiza-Maya's perspective
Ordered by how strongly the researchers Ruben Loaiza-Maya 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
- MCMC Analysis of Diffusion Models With Application to Finance
- Approximate Bayesian computational methods (Statistics and computing)
- 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