Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions

Bayesian Treed Calibration: An Application to Carbon Capture With AX Sorbent

(2017) Bledar A. Konomi et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Bayesian inference of physiologically meaningful parameters from body sway measurements

(2017) A. Tietäväinen et al.   Scientific Reports

Spectral likelihood expansions for Bayesian inference

(2016) Joseph B. Nagel et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations

(2016) Patrick R. Conrad et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation

(2016) Alex Gorodetsky et al.   SIAM-ASA Journal on Uncertainty Quantification

The rate of convergence for approximate Bayesian computation

(2015) Stuart Barber et al.   Electronic Journal of Statistics

Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems

(2014) Jinglai Li et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Solution of inverse problems with limited forward solver evaluations: a Bayesian perspective

(2013) I Bilionis et al.   INVERSE PROBLEMS

Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo

(2011) A. Golightly et al.   Interface Focus

A Stochastic Collocation Approach to Bayesian Inference in Inverse Problems

(2009) Youssef Marzouk et al.   Communications in Computational Physics

A Model of Postural Control in Quiet Standing: Robust Compensation of Delay-Induced Instability Using Intermittent Activation of Feedback Control

(2009) Yoshiyuki Asai et al.   PLoS One

Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems

(2008) Youssef M. Marzouk et al.   JOURNAL OF COMPUTATIONAL PHYSICS