The paper discusses shrinkage priors which impose increasing shrinkage in a sequence of
parameters. We review the cumulative shrinkage process (CUSP) prior of Legramanti et …

The massive release of captive-bred native species (“intentional release”) is a pervasive
method to enhance wild populations of commercial and recreational species. However, such …

The dimension of the parameter space is typically unknown in a variety of models that rely
on factorizations. For example, in factor analysis the number of latent factors is not known …

There has been increased research interest in the subfield of sparse Bayesian factor
analysis with shrinkage priors, which achieve additional sparsity beyond the natural …

Infinite Mixtures of Infinite Factor Analysers Page 1 Bayesian Analysis (2020) 15, Number 3,
pp. 937–963 Infinite Mixtures of Infinite Factor Analysers Keefe Murphy ∗ , Cinzia Viroli † …

Supplement 1 includes all the codes to generate the simulation and the data analyses
presented in the manuscript. It includes the data files used in the paper, and the simulations …

Defining the number of latent factors has been one of the most challenging problems in
factor analysis. Infinite factor models offer a solution to this problem by applying increasing …

Causal mediation analysis for sparse and irregular longitudinal data Page 1 The Annals of
Applied Statistics 2021, Vol. 15, No. 2, 747–767 https://doi.org/10.1214/20-AOAS1427 © …

Factorization models express a statistical object of interest in terms of a collection of simpler
objects. For example, a matrix or tensor can be expressed as a sum of rank-one …

Integrated distribution models (IDMs), in which datasets with different properties are
analysed together, are becoming widely used to model species distributions and abundance …