Jeffrey Rosenthal

15 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-5118-6808

Department of Statistical Sciences, University of Toronto

Publications

Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk — The Annals of Applied Statistics 2025
Dimension-free mixing for high-dimensional Bayesian variable selection — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
On the efficiency of pseudo-marginal random walk Metropolis algorithms — The Annals of Statistics 2015
Convergence rate of Markov chain methods for genomic motif discovery — The Annals of Statistics 2013
Adaptation to Climate Change in Preindustrial Iceland — American Economic Review 2012
Learn From Thy Neighbor: Parallel-Chain and Regional Adaptive MCMC — Journal of the American Statistical Association 2009
Meetings with Costly Participation: Reply — American Economic Review 2005
Scaling limits for the transient phase of local Metropolis–Hastings algorithms — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2005
Asymptotic Variance and Convergence Rates of Nearly-Periodic Markov Chain Monte Carlo Algorithms — Journal of the American Statistical Association 2003
Discussion on the paper by Brooks, Giudici and Roberts — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2003 (name-matched, not ORCID-linked)
Meetings with Costly Participation — American Economic Review 2000
Convergence of Slice Sampler Markov Chains — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1999
Optimal scaling of discrete approximations to Langevin diffusions — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1998
Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo — Journal of the American Statistical Association 1995
Rates of Convergence for Gibbs Sampling for Variance Component Models — The Annals of Statistics 1995