
Design of Experiments, Model Calibration and Data Assimilation
Author(s) -
Brian J. Williams
Publication year - 2014
Language(s) - English
Resource type - Reports
DOI - 10.2172/1148957
Subject(s) - markov chain monte carlo , latin hypercube sampling , computer science , computer experiment , design of experiments , calibration , emulation , surrogate model , kriging , algorithm , monte carlo method , set (abstract data type) , inference , uncertainty quantification , data mining , mathematical optimization , machine learning , simulation , artificial intelligence , mathematics , bayesian probability , statistics , economics , programming language , economic growth