A composite likelihood approach in fitting spatial point process models

Journal article

Journal of the American Statistical Association, Vol.101(476), pp.1502-1512

2006

Abstract

Applications

Exact sciences and technology

General topics

Inference from stochastic processes; time series analysis

Mathematics

Probability and statistics

Probability theory and stochastic processes

Sciences and techniques of general use

Statistics

Stochastic processes

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Citation topics: 9 Mathematics; 9.50 Applied Statistics & Probability; 9.50.1564 Convex Body
Web Of Science research areas: Statistics & Probability
ESI research areas: Mathematics

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Title: A composite likelihood approach in fitting spatial point process models
Creators: Yongtao Guan - Division of Biostatistics, Yale University, New Haven, CT 06520-8034, United States
Publication Details: Journal of the American Statistical Association, Vol.101(476), pp.1502-1512
Publisher: American Statistical Association
Academic Unit: Leadership Department; Miami Herbert Business School; MHBS - Management Science
Language: English
Resource Type: Journal article
Record Identifier: 991031613742002976