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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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 21 de enero de 2027 |
| ISBN13 | 9781041450849 |
| Editores | Taylor & Francis Ltd |
| Páginas | 512 |
| Dimensiones | 150 × 220 × 20 mm · 798 g (Peso (estimado)) |