Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics
type: Item
instance of: scholarly article
title: Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics
author: Antony M. Overstall
author: D. C. Woods
author: Kieran J. Martin
published in: Computational Statistics and Data Analysis
publication date: 2019-02-21T00:00:00Z
full work available at URL: https://arxiv.org/abs/1602.01347
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 7027216
zbMATH Keywords: approximate coordinate exchange
zbMATH Keywords: multivariate Gaussian process
zbMATH Keywords: Gibbs sampling
zbMATH Keywords: parallel tempering
zbMATH Keywords: Riemann manifold Langevin Metropolis-Hastings
describes a project that uses: diffEq
describes a project that uses: VODE
describes a project that uses: acebayes
describes a project that uses: deSolve
describes a project that uses: R
describes a project that uses: fields
describes a project that uses: BayesDA
MaRDI profile type: Publication
OpenAlex ID: W2963413693
cites work: VODE: A Variable-Coefficient ODE Solver
cites work: Bayesian emulation of complex multi-output and dynamic computer models
cites work: Some matrix-variate distribution theory: Notational considerations and a Bayesian application
cites work: Q2947862
cites work: Process optimization. A statistical approach.
cites work: Q5706748
cites work: Bayesian data analysis.
cites work: Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
cites work: A First Course in the Numerical Analysis of Differential Equations
cites work: Bayesian calibration of computer models. (With discussion)
cites work: Optimization
cites work: A strategy for Bayesian inference for computationally expensive models with application to the estimation of stem cell properties
cites work: Design and analysis of computer experiments. With comments and a rejoinder by the authors
cites work: The design and analysis of computer experiments.
DOI: 10.1016/J.CSDA.2018.10.013
description: scientific article; zbMATH DE number 7027216