Linear and nonlinear techniques for model selection, parameter estimation, simulation and forecasting, from Bayesian principles with particular attention to large data sets and sparse noisy data. Pre: 600 or 691. (Alt. years)
Linear and nonlinear techniques for model selection, parameter estimation, simulation and forecasting, from Bayesian principles with particular attention to large data sets and sparse noisy data. Pre: 600 or 691. (Alt. years)