Theodore Papamarkou
Statistics and Probability · 2014–2016
A researcher in the Science corpus: 5 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 49 citations into it; #6,235 of 12,932 by trust here, #7,914 by citations
- Artificial Intelligence — 36 citations into it; #17,207 of 35,345 by trust here, #26,682 by citations
- Probabilistic & Bayesian Methods — 17 citations into it
Whom Theodore Papamarkou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark A. Girolami
- Ben Calderhead
- Antonietta Mira
- Nial Friel
- Alan E. Gelfand
- Radford M. Neal
- Gareth O. Roberts
- Andrew Gelman
- Siddhartha Chib
- Jim Albert
Who trusts Theodore Papamarkou overall
Papers from Theodore Papamarkou's perspective
Ordered by how strongly the researchers Theodore Papamarkou trusts endorse each paper. Same corpus, a different order for every researcher.
- Sampling-Based Approaches to Calculating Marginal Densities
- Sequential Monte Carlo samplers
- Annealed importance sampling
- Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
- Riemann manifold Langevin and Hamiltonian Monte Carlo methods
- Bayesian analysis of binary and polychotomous response data
- Monte Carlo Strategies in Scientific Computing
- Metropolis Methods, Gaussian Proposals and Antithetic Variables
- ANALYSIS OF A NONREVERSIBLE MARKOV CHAIN SAMPLER
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
Their papers
- Zero Variance Differential Geometric Markov Chain Monte Carlo Algorithms (2014) — 37 citations
- The Controlled Thermodynamic Integral for Bayesian Model Evidence Evaluation (2016) — 60 citations
- Forward-Mode Automatic Differentiation in Julia (2016) — 445 citations
- Monte Carlo methods and zero variance principle (2015)
- The Controlled Thermodynamic Integral for Bayesian Model Comparison (2014) — 15 citations