9 citations · 15 across the 2 of their papers we have counts for
2 papers
stat.ME2016★ 6 cited
Weak Convergence and Optimal Tuning of the Reversible Jump Algorithm
Philippe Gagnon, Mylène Bédard, Alain Desgagné
The reversible jump algorithm is a useful Markov chain Monte Carlo method introduced by Green (1995) that allows switches between subspaces of differing dimensionality, and therefo…
stat.ME2008★ 9 cited
Higher Accuracy for Bayesian and Frequentist Inference: Large Sample Theory for Small Sample Likelihood
M. Bédard, D. A. S. Fraser, A. Wong
Recent likelihood theory produces -values that have remarkable accuracy and wide applicability. The calculations use familiar tools such as maximum likelihood values (MLEs), obs…