Items where Author is "Roberts, G. O."

Roberts, G. O. and Christian, O. and Rosenthal, J. S. (2005) Scaling limits for the transient phase. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67 (2). pp. 253-268. ISSN 1369-7412

Sköld, M. and Roberts, G. O. (2003) Density Estimation for the Metropolis–Hastings Algorithm. Scandinavian Journal of Statistics, 30 (4). pp. 699-718. ISSN 1467-9469

Brooks, S. P. and Giudici, P. and Roberts, G. O. (2003) Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 65 (1). pp. 3-39. ISSN 1467-9868

Fort, G. and Moulines, E. and Roberts, G. O. and Rosenthal, J. S. (2003) On the geometric ergodicity of hybrid samplers. Journal of Applied Probability, 40 (1). pp. 123-146.

Roberts, G. O. and Stramer, O. (2002) Langevin Diffusions and Metropolis-Hastings Algorithms. Methodology and Computing in Applied Probability, 4 (4). pp. 337-358. ISSN 1387-5841

Roberts, G. O. and Rosenthal, J. S. (2002) One-shot coupling for certain stochastic recursive sequences. Stochastic Processes and their Applications, 99 (2). pp. 195-208.

Brown, P. E. and Kaaresn, K. F. and Roberts, G. O. and Tonellato, S. (2000) Blur-generated non-separable space-time models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 62 (4). pp. 847-860. ISSN 1369-7412

Breyer, L. A. and Roberts, G. O. (2000) From Metropolis to diffusions: Gibbs states and optimal scaling. Stochastic Processes and their Applications, 90 (2). pp. 181-206.

Roberts, G. O. and Tweedie, R. L. (2000) Rates of convergence of stochastically monotone and continuous time Markov models. Journal of Applied Probability, 37 (2). pp. 359-373.

O'Neil, P. D. and Roberts, G. O. (1999) Bayesian inference for partially observed stochastic epidemics. Journal of the Royal Statistical Society: Series A Statistics in Society, 162 (1). pp. 121-129. ISSN 0964-1998

Roberts, G. O. and Tweedie, R. (1999) Bounds on regeneration times and convergence rates for Markov chains. Stochastic Processes and their Applications, 80 (2). pp. 211-229.

Roberts, G. O. and Rosenthal, J. S. (1999) Convergence of slice sampler Markov chains. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 61 (3). pp. 643-660. ISSN 1467-9868

Cowles, K. and Roberts, G. O. and Rosenthal, S. (1999) Possible biases induced by MCMC convergence. Journal of Statistical Computation and Simulation, 64 (1). pp. 87-104. ISSN 1563-5163

Breyer, L. A. and Roberts, G. O. (1999) A quasi-ergodic theorem for Markov processes. Stochastic Processes and their Applications, 84 (2). pp. 177-186.

Roberts, G. O. and Rosenthal, J. S. and Schwartz, P. (1998) Convergence properties of perturbed Markov chains. Journal of Applied Probability, 35 (1). pp. 1-11.

Roberts, G. O. and Rosenthal, J. S. (1998) Markov chain Monte Carlo: some practical implications of theoretical results. Canadian Journal of Statistics, 26 (1). pp. 5-31. ISSN 1708-945X

Roberts, G. O. and Rosenthal, J. S. (1998) Optimal scaling of discrete approximations to Langevin diffusions. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 60 (1). pp. 255-268. ISSN 1369-7412

Roberts, G. O. (1997) Optimal metropolis algorithms for product measures on the vertices of a hypercube. Stochastics, 62 (3). pp. 275-284. ISSN 1744-2516