Polson, N., & Sokolov, V. (2026). Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates.
Chicago Style (17th ed.) CitationPolson, Nick, and Vadim Sokolov. Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates. 2026.
MLA (9th ed.) CitationPolson, Nick, and Vadim Sokolov. Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates. 2026.
Warning: These citations may not always be 100% accurate.