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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.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Tiks izlaists | 2027. gada 21. janvāris |
| ISBN13 | 9781041450849 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 512 |
| Izmēri | 150 × 220 × 20 mm · 798 g (Svars (aptuveni)) |
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