Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso

由 David Nott
出版 2019

Marginally Calibrated Deep Distributional Regression

由 Nadja Klein, DAVID NOTT, Michael Smith
出版 2021

Gaussian Variational Approximation With a Factor Covariance Structure

由 Victor Ong, David Nott, Michael Smith
出版 2018

Variational Bayes With Intractable Likelihood

由 Minh-Ngoc Tran, David Nott, Robert Kohn
出版 2018

High-dimensional Copula Variational Approximation through Transformation

由 Michael Smith, Ruben Loaiza-Maya, David Nott
出版 2021

Bayesian Synthetic Likelihood

由 Leah Price, Christopher Drovandi, Anthony Lee, David Nott
出版 2018

Assessment and adjustment of approximate inference algorithms using the law of total variance

由 Xuejun Yu, David Nott, Minh-Ngoc Tran, Nadja Klein
出版 2022

Bayesian Deep Net GLM and GLMM

由 Minh-Ngoc Tran, Nghia Nguyen, David Nott, Robert Kohn
出版 2020

Multilevel Monte Carlo in Approximate Bayesian Computation

由 Ajay Jasra, Seongil Jo, David Nott, Christine Shoemaker, Raul Tempone
出版 2019

Using History Matching for Prior Choice

由 Wang Xueou, David Nott, Christopher Drovandi, Kerrie Mengersen, Michael Evans
出版 2018