activity
20042009
most citedPerfect simulation of spatial point processes using dominated coupling from the past with application to a multiscale area-interaction point process

9 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME20096 cited

Comment: Bibliometrics in the Context of the UK Research Assessment Exercise

Bernard W. Silverman

Research funding and reputation in the UK have, for over two decades, been increasingly dependent on a regular peer-review of all UK departments. This is to move to a system more b…

stat.ME20093 cited

Perfect simulation for Bayesian wavelet thresholding with correlated coefficients

Graeme K. Ambler, Bernard W. Silverman

We introduce a new method of Bayesian wavelet shrinkage for reconstructing a signal when we observe a noisy version. Rather than making the common assumption that the wavelet coeff…

stat.ME20099 cited

Perfect simulation of spatial point processes using dominated coupling from the past with application to a multiscale area-interaction point process

Graeme K. Ambler, Bernard W. Silverman

We consider perfect simulation algorithms for locally stable point processes based on dominated coupling from the past. A version of the algorithm is developed which is feasible fo…

math.ST2005

Empirical Bayes selection of wavelet thresholds

Iain M. Johnstone, Bernard W. Silverman

This paper explores a class of empirical Bayes methods for level-dependent threshold selection in wavelet shrinkage. The prior considered for each wavelet coefficient is a mixture…

math.ST2004

Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences

Iain M. Johnstone, Bernard W. Silverman

An empirical Bayes approach to the estimation of possibly sparse sequences observed in Gaussian white noise is set out and investigated. The prior considered is a mixture of an ato…