This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …

The paper develops a unified theoretical and computational framework for false discovery
control in multiple testing of spatial signals. We consider both pointwise and clusterwise …

Simultaneous inference was introduced as a statistical problem as early as the mid-twentieth
century, and it has been recently revived due to advancements in technology that result in …

In this paper we present a novel wavelet-based Bayesian nonparametric regression model
for the analysis of functional magnetic resonance imaging (fMRI) data. Our goal is to provide …

For the most popular discrete nonparametric models, beyond the Dirichlet process, the prior
guess at the shape of the data-generating distribution, also known as the base measure, is …

On spike and slab empirical Bayes multiple testing Page 1 The Annals of Statistics 2020, Vol.
48, No. 5, 2548–2574 https://doi.org/10.1214/19-AOS1897 © Institute of Mathematical …

Control of Type I Error Rates in Bayesian Sequential Designs Page 1 Bayesian Analysis (2019)
14, Number 2, pp. 399–425 Control of Type I Error Rates in Bayesian Sequential Designs …

Environmental conflicts have been a top global focus and issue for human's sustainable
development. China is confronted with a serious situation with a rigid demand of ecological …

We propose a Bayesian approach to multiple testing in disease mapping. This study was
motivated by a real example regarding the mortality rate for lung cancer, males, in the …

Improved procedures, in terms of smaller missed discovery rates (MDR), for performing
multiple hypotheses testing with weak and strong control of the family-wise error rate …