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Variable selection for inhomogeneous spatial point process models
Yu Ryan Yue,
Ji Meng Loh
Mathematical Sciences
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Article
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peer-review
22
Scopus citations
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Dive into the research topics of 'Variable selection for inhomogeneous spatial point process models'. Together they form a unique fingerprint.
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Keyphrases
Regularization Method
100%
Spatial Point Process
100%
Inhomogeneous Spatial Point Process
100%
Neyman-Scott
100%
Point Process Modeling
100%
Spatial Point Process Models
100%
Simulation Study
50%
New York City
50%
Simple Procedure
50%
Least Absolute Shrinkage and Selection Operator (LASSO)
50%
Poisson
50%
Generalized Linear Model
50%
Cluster Model
50%
Point Model
50%
Restaurant Location
50%
Fast Food Restaurants
50%
Pairwise Interaction
50%
Application Model
50%
Point Data
50%
Variable Position
50%
Elastic Net Regularization
50%
Scott Model
50%
Rainforest Trees
50%
Pairwise Interaction Models
50%
School Location
50%
Spatial Points
50%
Adaptive Lasso
50%
Mathematics
Spatial Point Process
100%
Regularization
50%
Covariate
25%
Simulation Study
25%
New York
25%
Point Model
25%
Scott Model
25%
Generalized Linear Model
25%
Data Point
25%
Elastic Net
25%