Probabilistic Programming for Procedural Modeling and Design
Overview & Synopsis
This book use probabilistic programming languages to express such Bayesian procedural models. A probabilistic programming language (PPL) provides random choice and Bayesian conditioning operators as primitives, and inference corresponds to searching the space of program executions for high-probability execution traces.
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Document Information
| Document Title | Probabilistic Programming for Procedural Modeling and Design |
|---|---|
| Author / Organization | Daniel Ritchie |
| Subject & Discipline | Probability and Stochastic, Statistics, Mathematical Statistics, Bayesian Thinking, Python Programming, Computational and Algorithmic Mathematics |
| Categories | Probability and Stochastic |
| Resource Verification | ✓ Verified Direct PDF Available |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 43104.7 KB (44,139,260 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-112966 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |