Minchul Shin

Statistics and Probability · with Askanazi · 2016–2018

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 — 14 citations into it
• Artificial Intelligence — 7 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Minchul Shin trusts overall

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

1. Susanne M. Schennach
2. Gary Chamberlain
3. Christian P. Robert
4. Siddhartha Chib
5. T. Lancaster
6. Yunwen Yang

Papers from Minchul Shin's perspective

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

1. Bayesian exponentially tilted empirical likelihood
2. Bayesian empirical likelihood for quantile regression
3. Bayesian quantile regression methods
4. Marginal Likelihood From the Metropolis–Hastings Output
5. Bayesian empirical likelihood
6. Asymptotic efficiency in estimation with conditional moment restrictions
7. The Bayesian choice : from decision-theoretic foundations to computational implementation
8. Hamiltonian Monte Carlo sampling in Bayesian empirical likelihood computation
9. Strictly Proper Scoring Rules, Prediction, and Estimation
10. Quantiles as optimal point forecasts

Their papers

• On the Comparison of Interval Forecasts (2018) — 47 citations
• Bayesian Estimation and Comparison of Moment Condition Models (2016) — 65 citations