A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models.

MLA

Tagade, Piyush M., and Han-Lim Choi. “A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models.” Inverse Problems in Science & Engineering, vol. 22, no. 4, June 2014, pp. 602–24. EBSCOhost, https://doi.org/10.1080/17415977.2013.823411.

APA

Tagade, P. M., & Choi, H.-L. (2014). A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models. Inverse Problems in Science & Engineering, 22(4), 602–624. https://doi.org/10.1080/17415977.2013.823411

Chicago

Tagade, Piyush M., and Han-Lim Choi. 2014. “A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models.” Inverse Problems in Science & Engineering 22 (4): 602–24. doi:10.1080/17415977.2013.823411.