Analyzing Dependence between Point Processes in Time Using IndTestPP
Ana C. Cebrián,Jesús Asín +1 more
About: This article is published in R Journal. The article was published on 01 Jan 2021. and is currently open access. The article focuses on the topics: Point process.
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References
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Spatial Point Patterns: Methodology and Applications with R
Adrian Baddeley,Ege Rubak,Rolf Turner +2 more
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TL;DR: Point patterns Statistical methodology for point patterns Statistical inference for Poisson models Alternative fitting methods More flexible models Theory Coarse quadrature approximation Fine pixel approximation Conditional logistic regression Approximate Bayesian inference Non-loglinear models Local likelihood FAQ Hypothesis Tests and Simulation Envelopes Introduction concepts and terminology.
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TL;DR: In this paper, two approaches related to Barnard's Monte Carlo test are proposed for building global envelope tests on I: ordering the empirical and simulated functions on the basis of their r-wise ranks among each other and the construction of envelopes for a deviation test.
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splancs: Spatial and Space-Time Point Pattern Analysis
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Summary statistics for inhomogeneous marked point processes
TL;DR: In this article, the authors propose new summary statistics for intensity-reweighted moment stationary marked point processes with particular emphasis on discrete marks, and derive ratio-unbiased minus sampling estimators for their statistics and illustrate their use on a data set of wildfires.