Search Results for author: John O'Leary

Found 3 papers, 2 papers with code

Metropolis-Hastings transition kernel couplings

no code implementations31 Jan 2021 John O'Leary, Guanyang Wang

Couplings play a central role in the analysis of Markov chain convergence and in the construction of novel Markov chain Monte Carlo estimators, diagnostics, and variance reduction techniques.

Statistics Theory Probability Computation Statistics Theory 60J22, 65C05, 62D05

Learning Concise Models from Long Execution Traces

1 code implementation15 Jan 2020 Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening, John O'Leary

Abstract models of system-level behaviour have applications in design exploration, analysis, testing and verification.

Formal Languages and Automata Theory Software Engineering

Unbiased Markov chain Monte Carlo with couplings

4 code implementations11 Aug 2017 Pierre E. Jacob, John O'Leary, Yves F. Atchadé

Markov chain Monte Carlo (MCMC) methods provide consistent approximations of integrals as the number of iterations goes to infinity.

Methodology Computation

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