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A thinned block bootstrap variance estimation procedure for inhomogeneous spatial point patterns
Yongtao Guan,
Ji Meng Loh
Research output
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Contribution to journal
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Article
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peer-review
46
Scopus citations
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Dive into the research topics of 'A thinned block bootstrap variance estimation procedure for inhomogeneous spatial point patterns'. Together they form a unique fingerprint.
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Mathematics
Asymptotic distribution
27%
Block Bootstrap
93%
Class
9%
Covariates
26%
Demonstrate
18%
Efficacy
33%
Estimate
28%
First-order
42%
Higher Order
22%
Intensity Function
79%
Maximum Likelihood
27%
Mixing Processes
42%
Modeling
20%
Parametric Model
33%
Point Process
32%
Regression Coefficient
31%
Simulation
19%
Siméon Denis Poisson
25%
Spatial Point Pattern
100%
Term
16%
Variance Estimation
73%
Variance Estimator
35%
Business & Economics
Asymptotic Distribution
24%
Block Bootstrap
96%
Covariates
21%
Efficacy
19%
Estimator
16%
Maximum Likelihood
21%
Parametric Model
25%
Point Process
29%
Regression Coefficient
25%
Simulation
14%
Spatial Modeling
32%
Variance Estimation
91%