Bernoulli provides a comprehensive account of important developments in the fields of statistics and probability, offering an international forum for both theoretical and applied work.
Applications of the van Trees inequality: a Bayesian Cramér-Rao bound
Richard D. Gill, et al. (1995)
Functional inequalities for Gaussian convolutions of compactly supported measures: Explicit bounds and dimension dependence
Jean-Baptiste Bardet, et al. (2018)
Strong consistency of the maximum likelihood estimator for finite mixtures of location-scale distributions when the scale parameters are exponentially small
Kentaro Tanaka, et al. (2006)
On a universal strong law of large numbers for conditional expectations
Andrzej S. Kozek, et al. (1998)