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stat.CO2024
Generative Bayesian Computation for Maximum Expected Utility
Nick Polson, Fabrizio Ruggeri, Vadim Sokolov
Generative Bayesian Computation (GBC) methods are developed to provide an efficient computational solution for maximum expected utility (MEU). We propose a density-free generative…
stat.CO2024
Counting Queens
Nick Polson, Vadim Sokolov
Gauss proposed the problem of how to enumerate the number of solutions for placing queens on an chess board, so no two queens attack each other. The N-queen problem…