The stochastic quasi-chemical model for bacterial growth: variational Bayesian parameter update

DOI10.1007/s00332-017-9411-4zbMath1385.92034OpenAlexW2749342603MaRDI QIDQ1703002

Panagiotis Tsilifis, William J. Browning, Thomas E. Wood, Paul K. Newton, Roger G. Ghanem

Publication date: 1 March 2018

Published in: Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00332-017-9411-4

zbMATH Keywords

Kullback-Leibler divergenceBayes rulegradient-based optimizationevidence lower boundquasi-chemical model

Mathematics Subject Classification ID

Bayesian inference (62F15) Physiological, cellular and medical topics (92C99)

Related Items

Sparse polynomial chaos expansions using variational relevance vector machines

Uses Software

• LBFGS-B
• PRMLT

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Estimating parameters in stochastic systems: A variational Bayesian approach
• Uncertainty propagation using infinite mixture of gaussian processes and variational Bayesian inference
• Bayesian experimental design: A review
• Modelling and estimating uncertainty in parameter estimation
• Inverse problems: A Bayesian perspective
• Algorithms for Kullback--Leibler Approximation of Probability Measures in Infinite Dimensions
• Optimal Scaling of Discrete Approximations to Langevin Diffusions
• Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations
• Inverse Problem Theory and Methods for Model Parameter Estimation
• A Limited Memory Algorithm for Bound Constrained Optimization
• Equation of State Calculations by Fast Computing Machines
• Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound
• Monte Carlo sampling methods using Markov chains and their applications
• On Information and Sufficiency
• An adaptive Metropolis algorithm