A Bayesian inference approach to the inverse heat conduction problem

This publication has 11 references indexed in Scilit:

• An Introduction to MCMC for Machine Learning
  Machine Learning, 2003
• A Bayesian approach to characterizing uncertainty in inverse problems using coarse and fine-scale information
  IEEE Transactions on Signal Processing, 2002
• Markov Random Field Models for High-Dimensional Parameters in Simulations of Fluid Flow in Porous Media
  Technometrics, 2002
• A functional optimization approach to an inverse magneto-convection problem
  Computer Methods in Applied Mechanics and Engineering, 2001
• Stochastic regularization for thermal problems with uncertain parameters
  Inverse Problems in Engineering, 2001
• Uncertainties in parameter estimation: the optimal experiment design
  International Journal of Heat and Mass Transfer, 2000
• Uncertainties in parameter estimation: the inverse problem
  International Journal of Heat and Mass Transfer, 1995
• Bayesian Computation and Stochastic Systems
  Statistical Science, 1995
• Markov Chains for Exploring Posterior Distributions
  The Annals of Statistics, 1994
• Sequential Monte Carlo p-values
  Biometrika, 1991