Taylor Pospisil

Statistics and Probability · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 21 citations into it; #12,145 of 12,932 by trust here, #10,855 by citations
• Artificial Intelligence — 17 citations into it; #33,100 of 35,345 by trust here, #32,362 by citations
• Astronomy and Astrophysics — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it; #1,469 of 1,525 by trust here, #1,460 by citations

Whom Taylor Pospisil trusts overall

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

1. Rafael Izbicki
2. Nicolai Meinshausen
3. Ann B. Lee
4. MARK A. Beaumont
5. Trevor J. Hastie
6. Leo Breiman
7. B. Rowe
8. Jeffrey S. Racine
9. Michael G. B. Blum
10. Scott Anthony Sisson

Who trusts Taylor Pospisil overall

1. Emilio Carrizosa

Papers from Taylor Pospisil's perspective

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

1. Random Forests
2. Sequential Monte Carlo without likelihoods
3. Adaptive approximate Bayesian computation
4. Approximate Bayesian computation in population genetics.
5. GalSim: The modular galaxy image simulation toolkit (Astronomy and Computing)
6. A comparative review of dimension reduction methods in approximate Bayesian computation
7. Weak Gravitational Lensing and Its Cosmological Applications
8. Sparse additive models
9. Approximate Bayesian Computation in Evolution and Ecology
10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition

Their papers

• ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations (2018) — 37 citations
• (f)RFCDE: Random Forests for Conditional Density Estimation and Functional Data (2019) — 11 citations