Statistical inference and simulation for spatial point processes
نام عام مواد
[Book]
نام نخستين پديدآور
/ Jesper MooAلأller and Rasmus Plenge Waagepetersen
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Boca Raton
نام ناشر، پخش کننده و غيره
: Chapman & Hall/CRC,
تاریخ نشرو بخش و غیره
, c2004.
مشخصات ظاهری
نام خاص و کميت اثر
xv, 300 p. , ill. , 24 cm.
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Electronic
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references (p. 279-292) and indexes.
یادداشتهای مربوط به مندرجات
متن يادداشت
"Technology now makes available huge amounts of spatial point process data, and new applications are continually arising in fields as diverse as astronomy, forestry, image analysis, and epidemiology. Although significant developments in both Markov Chain Monte Carlo (MCMC) techniques and spatial point processes have emerged in recent years, the literature has lacked a comprehensive, unified treatment of the theoretical advances - one that includes examples of real-world applications." "Statistical Inference and Simulation for Spatial Point Processes provides exactly that. With emphasis on MCMC methods, it fully explores simulation-based inference for spatial point processes. The treatment is detailed and authoritative, but at the same time self-contained and completely accessible. To simplify the mathematics, the authors restrict their attention to Euclidean space, but most of the results easily extend to more general state space. Five appendices provide all of the relevant background material, including a concise presentation of measure theory." "This is the first up-to-date, unified collection of theoretical advances and applications in this rapidly growing field. Readers learn not only the underlying principles and mathematics of simulation-based inference for spatial point processes, but through the book's many application examples they also get a clear, practical perspective on the implementation issues."--BOOK JACKET.
متن يادداشت
1. Examples of spatial point patterns -- 2. Introduction to point processes -- 3. Poisson point processes -- 4. Summary statistics -- 5. Cox processes -- 6. Markov point processes -- 7. Metropolis-Hastings algorithms -- 8. Simulation-based inference -- 9. Inference for Markov point processes -- 10. Inference for Cox processes -- 11. Birth-death processes and perfect simulation -- C. Moment measures and Palm distributions -- D. Perfect simulation of SNCPs -- E. Simulation of Gaussian fields -- F. Nearest-neighbour Markov point processes -- G. Results for spatial birth-death processes.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Point processes
موضوع مستند نشده
Spatial analysis (Statistics)
رده بندی کنگره
شماره رده
E-BOOK
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )