Song, Chaolin, Wang, Zeyu, Shafieezadeh, Abdollah, and Xiao, Rucheng. BUAK-AIS: Efficient Bayesian Updating with Active learning Kriging-based Adaptive Importance Sampling. Retrieved from https://par.nsf.gov/biblio/10344043. Computer Methods in Applied Mechanics and Engineering 391.C Web. doi:10.1016/j.cma.2022.114578.

Song, Chaolin, Wang, Zeyu, Shafieezadeh, Abdollah, & Xiao, Rucheng. BUAK-AIS: Efficient Bayesian Updating with Active learning Kriging-based Adaptive Importance Sampling. Computer Methods in Applied Mechanics and Engineering, 391 (C). Retrieved from https://par.nsf.gov/biblio/10344043. https://doi.org/10.1016/j.cma.2022.114578

Song, Chaolin, Wang, Zeyu, Shafieezadeh, Abdollah, and Xiao, Rucheng. "BUAK-AIS: Efficient Bayesian Updating with Active learning Kriging-based Adaptive Importance Sampling". Computer Methods in Applied Mechanics and Engineering 391 (C). Country unknown/Code not available. https://doi.org/10.1016/j.cma.2022.114578. https://par.nsf.gov/biblio/10344043.

@article{osti_10344043,
place = {Country unknown/Code not available}, title = {BUAK-AIS: Efficient Bayesian Updating with Active learning Kriging-based Adaptive Importance Sampling}, url = {https://par.nsf.gov/biblio/10344043}, DOI = {10.1016/j.cma.2022.114578}, abstractNote = {}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {391}, number = {C}, author = {Song, Chaolin and Wang, Zeyu and Shafieezadeh, Abdollah and Xiao, Rucheng}, }