Peter Li

Statistics and Probability · with Betancourt · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it; #7,034 of 12,932 by trust here, #878 by citations
• Artificial Intelligence — 15 citations into it; #27,438 of 35,345 by trust here, #6,266 by citations
• Probabilistic & Bayesian Methods — 11 citations into it; #962 of 1,525 by trust here, #232 by citations
• Mathematical Physics — 5 citations into it

Whom Peter Li trusts overall

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

1. Radford M. Neal
2. Andrew Gelman
3. Michael Betancourt

Who trusts Peter Li overall

1. Dustin Tran

Papers from Peter Li's perspective

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

1. Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition
2. Slice Sampling
3. A General Metric for Riemannian Manifold Hamiltonian Monte Carlo
4. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
5. A method for solving the convex programming problem with convergence rate O(1/k^2)
6. Handbook of Markov Chain Monte Carlo
7. Numerical optimization
8. Pro Git (Apress)
9. Ensemble samplers with affine invariance
10. Boost C++ Libraries

Their papers

• Stan: A Probabilistic Programming Language (2017) — 7,506 citations
• The Stan Math Library: Reverse-Mode Automatic Differentiation in C++ (2015) — 131 citations