Large-deviation approximations to the distribution of scan statistics
From MaRDI portal
Publication:3981875
DOI10.2307/1427674zbMath0741.60036OpenAlexW2079285698MaRDI QIDQ3981875
Publication date: 26 June 1992
Published in: Advances in Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/1427674
Geometric probability and stochastic geometry (60D05) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (30)
A new adaptive procedure for multiple window scan statistics ⋮ Optimal and fast detection of spatial clusters with scan statistics ⋮ Scan statistic tail probability assessment based on process covariance and window size ⋮ Multiple window scan statistics for two dimensional Poisson processes ⋮ Corrected discrete approximations for multiple window scan statistics of one-dimensional Poisson processes ⋮ On the limiting distribution of the spatial scan statistic ⋮ Computing the exact distribution of the extremes of sums of consecutive spacings ⋮ Log-likelihood ratio test for detecting transient change ⋮ Using scan statistics for cluster detection: recognizing real bandwagons ⋮ A spatial scan statistic ⋮ Clustering with exclusion zones: genomic applications ⋮ Detection and analysis of spikes in a random sequence ⋮ Change-point detection and bootstrap for Hilbert space valued random fields ⋮ Geographic and network surveillance via scan statistics for critical area detection ⋮ Importance sampling for spatial scan analysis: computing scan statistic \(p-\)values for marked point processes. ⋮ A Wilcoxon-Mann-Whitney spatial scan statistic for functional data ⋮ Corrected discrete approximations for the conditional and unconditional distributions of the continuous scan statistic ⋮ Scan clustering: A false discovery approach ⋮ Unnamed Item ⋮ A Tree-Based Scan Statistic for Database Disease Surveillance ⋮ Detecting local regions of change in high-dimensional criminal or terrorist point processes ⋮ Maxima of moving sums in a Poisson random field ⋮ Change-point problems: bibliography and review ⋮ Detection of spatial clustering with average likelihood ratio test statistics ⋮ Poisson approximation in connection with clustering of random points ⋮ p-values for the Discrete Scan Statistic through Slack Variables ⋮ Optimal detection of a jump in the intensity of a Poisson process or in a density with likelihood ratio statistics ⋮ An Alternative Cluster Detection Test in Spatial Scan Statistics ⋮ Scan statistics on Enron graphs ⋮ A martingale approach to scan statistics
This page was built for publication: Large-deviation approximations to the distribution of scan statistics
