Michael Justin O'Sullivan
Statistics and Probability · 2011
A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 14 citations into it; #7,924 of 12,932 by trust here, #11,487 by citations
- Water Science and Technology — 14 citations into it
- Environmental Engineering — 11 citations into it; #2,693 of 5,479 by trust here, #5,088 by citations
- Global and Planetary Change — 11 citations into it
- Mathematical Physics — 9 citations into it
- Artificial Intelligence — 8 citations into it; #21,791 of 35,345 by trust here, #33,294 by citations
- Probabilistic & Bayesian Methods — 7 citations into it
- Ocean Engineering — 6 citations into it
Whom Michael Justin O'Sullivan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gareth O. Roberts
- Jeffrey S. Rosenthal
- Peter J. Green
- Julian Besag
- Heikki Haario
- C. T. ter Braak
- Jasper A. Vrugt
- Andrew Gelman
- Tim Hesterberg
- Christophe Andrieu
Who trusts Michael Justin O'Sullivan overall
Papers from Michael Justin O'Sullivan's perspective
Ordered by how strongly the researchers Michael Justin O'Sullivan trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal scaling for various Metropolis-Hastings algorithms
- An adaptive Metropolis algorithm
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Inference from Iterative Simulation Using Multiple Sequences
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- On adaptive Markov chain Monte Carlo algorithms
- Examples of Adaptive MCMC
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- On the ergodicity properties of some adaptive MCMC algorithms
- Effective and efficient global optimization for conceptual rainfall‐runoff models