Rianne de Heide

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 17 citations into it
• Artificial Intelligence — 7 citations into it; #20,677 of 35,345 by trust here, #29,412 by citations
• Management Science and Operations Research — 6 citations into it

Whom Rianne de Heide trusts overall

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

1. James O. Berger
2. Jorma Rissanen
3. Valen E. Johnson
4. Maria J. Bayarri
5. Tim van Erven
6. Glenn Shafer
7. Andrew R. Barron
8. Peter D. Grünwald
9. Steven R. Howard
10. Feng Liang

Who trusts Rianne de Heide overall

1. Ruodu Wang
2. Vladimir G Vovk
3. Aaditya Ramdas

Papers from Rianne de Heide's perspective

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

1. Calibration of ρ Values for Testing Precise Null Hypotheses
2. The ASA Statement on p-Values: Context, Process, and Purpose
3. Revised standards for statistical evidence (Proceedings of the National Academy of Sciences of the United States of America)
4. Testing Statistical Hypotheses
5. Criteria for Bayesian model choice with application to variable selection
6. Test Martingales, Bayes Factors and p-Values
7. Abandon Statistical Significance (American Statistician)
8. Statistical Decision Theory and Bayesian Analysis, Second Edition
9. Martingales in Sequential Analysis and Time Series, 1945-1985 ∗
10. Information Theory: 1948-1998 - Guest Editorial

Their papers

• Safe Testing (2019) — 332 citations