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Statistical Inference and Simulation for Spatial Point Processes

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Release : 2003-09-25
Genre : Mathematics
Kind : eBook
Book Rating : 930/5 ( reviews)

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Book Synopsis Statistical Inference and Simulation for Spatial Point Processes by : Jesper Moller

Download or read book Statistical Inference and Simulation for Spatial Point Processes written by Jesper Moller. This book was released on 2003-09-25. Available in PDF, EPUB and Kindle. Book excerpt: Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods, and a thorough treatment of the theory and applications of simulation-based inference is difficult to find. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications. The authors examine Markov chain Monte Carlo algorithms and explore one of the most important recent developments in MCMC: perfect simulation procedures.

Spatial point processes

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Author :
Release : 1999
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Spatial point processes by : Tina Dam

Download or read book Spatial point processes written by Tina Dam. This book was released on 1999. Available in PDF, EPUB and Kindle. Book excerpt:

Spatial Point Patterns

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Release : 2015-11-11
Genre : Mathematics
Kind : eBook
Book Rating : 215/5 ( reviews)

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Book Synopsis Spatial Point Patterns by : Adrian Baddeley

Download or read book Spatial Point Patterns written by Adrian Baddeley. This book was released on 2015-11-11. Available in PDF, EPUB and Kindle. Book excerpt: Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on th

Statistical Inference for Spatial Processes

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Release : 1988
Genre : Mathematics
Kind : eBook
Book Rating : 202/5 ( reviews)

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Book Synopsis Statistical Inference for Spatial Processes by : B. D. Ripley

Download or read book Statistical Inference for Spatial Processes written by B. D. Ripley. This book was released on 1988. Available in PDF, EPUB and Kindle. Book excerpt: The study of spatial processes and their applications is an important topic in statistics and finds wide application particularly in computer vision and image processing. This book is devoted to statistical inference in spatial statistics and is intended for specialists needing an introduction to the subject and to its applications. One of the themes of the book is the demonstration of how these techniques give new insights into classical procedures (including new examples in likelihood theory) and newer statistical paradigms such as Monte-Carlo inference and pseudo-likelihood. Professor Ripley also stresses the importance of edge effects and of lack of a unique asymptotic setting in spatial problems. Throughout, the author discusses the foundational issues posed and the difficulties, both computational and philosophical, which arise. The final chapters consider image restoration and segmentation methods and the averaging and summarising of images. Thus, the book will find wide appeal to researchers in computer vision, image processing, and those applying microscopy in biology, geology and materials science, as well as to statisticians interested in the foundations of their discipline.

Statistical Analysis of Spatial Point Patterns

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Release : 1983
Genre : Mathematics
Kind : eBook
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Book Synopsis Statistical Analysis of Spatial Point Patterns by : Peter Diggle

Download or read book Statistical Analysis of Spatial Point Patterns written by Peter Diggle. This book was released on 1983. Available in PDF, EPUB and Kindle. Book excerpt: Introduction; Preliminary testing for mapped patterns; Analysis of sparsely sampled patterns; Spatial point processes; Analysis of mapped patterns; Multivariate spatial point processes; Analysis of multivariate patterns.

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