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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 Paperback Book (Book with soft cover and glued back) |
| To be released | January 21, 2027 |
| ISBN13 | 9781041450788 |
| Publishers | Taylor & Francis Ltd |
| Pages | 512 |
| Dimensions | 150 × 220 × 10 mm · 767 g (Weight (estimated)) |
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