Seminars in Statistics
Unbiased Markov chain Monte Carlo with couplings
Multiscale analysis of Bayesian CART
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
"Deep neural networks and stochastic processes"
"Scalable Bayesian Inference and Summarization for Functional Data"
"A Bayesian non-parametric methodology for inferring grammar complexity"
"Optimal estimation of certain random quantities associated with Levy processes"
"Posterior Contraction and Credible Sets for Filaments of Regression Functions"
"Statistical methods for precision medicine: prognostic and predictive
"Monotonicity of convergence of posteriors, and Turan type inequalities"
"Connections between optimization and sampling"
"Effectiveness of unconventional monetary policies in a low interest rate environment"
"New tools for reproducible variable selection with knockoffs"
"Bayesian Approaches in Regulatory Science"
"Bayesian nonparametric modelling of phenology using capture-recapture data"
"Robust inference for general projection structures by empirical Bayes and penalization methods"
"Posterior concentration for Bayesian regression trees and their ensembles"
"Discovering Interactions Using Covariate Informed Random Partition Models"
Non-Commutative Information Geometry Information geometry is concerned with the study of statistical manifolds. These are differentiable manifolds consisting of probability distributions. In the param- eterized case their geometry is described by a metric tensor and a pair of dually flat connections. In the more general non-parameterized case they are Banach manifolds. This area of…
Estimating the mean response in a missing data model We study semiparametric Bayesian estimation of the mean response in a binary regression model with missing observations. We allow some dependence between the missingness and response mechanisms, which we assume are conditionally independent given some measured covariates (i.e. unconfoundedness). This model has applications in biostatistics and…