Bayesian Calibration of a Stochastic Kinetic Computer Model Using Multiple Data Sources Export

@article{citeulike:5998212, abstract = {In this article, we describe a Bayesian approach to the calibration of a stochastic computer model of chemical kinetics. As with many applications in the biological sciences, the data available to calibrate the model come from different sources. Furthermore, these data appear to provide somewhat conflicting information about the model parameters. We describe a modeling framework that allows us to synthesize this conflicting information and arrive at a consensus inference. In particular, we show how random effects can be incorporated into the model to account for between-individual heterogeneity that may be the source of the apparent conflict.}, address = {School of Mathematics \& Statistics, Newcastle University, Newcastle upon Tyne, NE1 7RU, U.K.}, author = {Henderson, D. A. and Boys, R. J. and Wilkinson, D. J.}, citeulike-article-id = {5998212}, citeulike-linkout-0 = {http://dx.doi.org/10.1111/j.1541-0420.2009.01245.x}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/122322614/ABSTRACT}, doi = {10.1111/j.1541-0420.2009.01245.x}, issn = {1541-0420}, journal = {Biometrics}, keywords = {assimilation, bayesian, biology, model, statistics, stochastic}, number = {9999}, posted-at = {2009-11-02 21:08:40}, priority = {2}, title = {Bayesian Calibration of a Stochastic Kinetic Computer Model Using Multiple Data Sources}, url = {http://dx.doi.org/10.1111/j.1541-0420.2009.01245.x}, volume = {9999}, year = {2009} }

TY - JOUR ID - citeulike:5998212 L3 - citeulike-article-id:5998212 N2 - In this article, we describe a Bayesian approach to the calibration of a stochastic computer model of chemical kinetics. As with many applications in the biological sciences, the data available to calibrate the model come from different sources. Furthermore, these data appear to provide somewhat conflicting information about the model parameters. We describe a modeling framework that allows us to synthesize this conflicting information and arrive at a consensus inference. In particular, we show how random effects can be incorporated into the model to account for between-individual heterogeneity that may be the source of the apparent conflict. IS - 9999 JF - Biometrics SN - 1541-0420 AD - School of Mathematics & Statistics, Newcastle University, Newcastle upon Tyne, NE1 7RU, U.K. TI - Bayesian Calibration of a Stochastic Kinetic Computer Model Using Multiple Data Sources VL - 9999 KW - assimilation KW - bayesian KW - biology KW - model KW - statistics KW - stochastic AU - Henderson, DA AU - Boys, RJ AU - Wilkinson, DJ PY - 2009/// UR - http://dx.doi.org/10.1111/j.1541-0420.2009.01245.x ER -