Daniel Lee

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; #7,035 of 12,932 by trust here, #878 by citations
• Artificial Intelligence — 15 citations into it; #27,439 of 35,345 by trust here, #6,266 by citations
• Probabilistic & Bayesian Methods — 11 citations into it; #963 of 1,525 by trust here, #232 by citations
• Mathematical Physics — 5 citations into it

Whom Daniel Lee trusts overall

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

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

Who trusts Daniel Lee overall

1. Paul-Christian Burkner
2. Dustin Tran
3. Atilim Gunes Baydin
4. Charles C. Margossian
5. Yixin Wang

Papers from Daniel Lee's perspective

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

1. A method for solving the convex programming problem with convergence rate O(1/k^2)
2. Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition
3. A General Metric for Riemannian Manifold Hamiltonian Monte Carlo
4. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
5. Slice Sampling
6. Handbook of Markov Chain Monte Carlo
7. Inference from Iterative Simulation Using Multiple Sequences
8. Numerical optimization
9. Data Analysis Using Regression and Multilevel/Hierarchical Models: Understanding and summarizing the fitted models
10. Pro Git (Apress)

Their papers

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