Tell your friends about this item:
Generative Bayesian Computation: Quantile Neural Networks for Inference and Surrogates Nicholas G. Polson
Generative Bayesian Computation: Quantile Neural Networks for Inference and Surrogates
Nicholas G. Polson
Introduces Generative Bayesian Computation (GBC), a transformative framework that replaces traditional Markov chain Monte Carlo methods with deep quantile neural networks trained by stochastic gradient descent.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | January 21, 2027 |
| ISBN13 | 9781041450849 |
| Publishers | Taylor & Francis Ltd |
| Pages | 512 |
| Dimensions | 150 × 220 × 20 mm · 798 g (Weight (estimated)) |
More from the same publisher
See all of Nicholas G. Polson ( e.g. Paperback Book , Hardcover Book and Book )