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

Journal Article

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