Bin Wang
Statistics and Probability · with Vovk · 2020
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it; #10,183 of 12,932 by trust here, #12,077 by citations
Whom Bin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bin Wang overall
Papers from Bin Wang's perspective
Ordered by how strongly the researchers Bin Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibration of ρ Values for Testing Precise Null Hypotheses
- E-values: Calibration, combination and applications (Annals of Statistics)
- On the distributional transform, Sklar's theorem, and the empirical copula process
- Safe Testing (Information Theory and Applications Workshop)
- Testing Statistical Hypotheses
- Martingales in Sequential Analysis and Time Series, 1945-1985 ∗
- Bayes factors
- A decision-theoretic generalization of on-line learning and an application to boosting
- The weighted majority algorithm
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Their papers
- Admissible ways of merging p-values under arbitrary dependence (2020) — 82 citations