Statistical Inference and Simulation for Spatial Point Processes
O książce
Delve into the intricate world of spatial point processes with Statistical Inference and Simulation for Spatial Point Processes by Jesper Moller, published by Taylor & Francis Inc in 2003. Spanning 318 pages, this comprehensive hardback offers a thorough examination of simulation-based inference techniques that are pivotal in understanding complex data structures in spatial statistics.
The book places a strong emphasis on Markov Chain Monte Carlo (MCMC) methods and explores both Cox and Markov point processes in detail. Moller provides a rigorous treatment of MCMC techniques, which are essential for statistical inference, making this volume an invaluable resource for researchers and practitioners alike. Whether you're a statistician, mathematician, or simply interested in the field of spatial analysis, Moller’s insights will enhance your understanding and application of these sophisticated methodologies.
| Autor | Jesper Moller |
|---|---|
| Wydawnictwo | Taylor & Francis Inc |
| Rok wydania | 2003 m. |
| Język | Angielski |
| Liczba stron | 318 psl. |
| Format | Oprawa twarda |
| Gatunek | Matematika |
| ISBN | 9781584882657 |