Local spatial biclustering and prediction of urban juvenile delinquency and recidivism

DOI10.1002/sam.10123OpenAlexW2095127225MaRDI QIDQ4969770

Joseph Jupin, Philip W. Harris, Jeremy Mennis, Alan Julian Izenman, Zoran Obradovic

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.10123

zbMATH Keywords

neural networksspatial statisticsdata miningnonstationaritybiclusteringtwo-way clusteringurban crimegetis-Ord statisticplaid modelsProDES database

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (max. 100)

On two‐way Bayesian agglomerative clustering of gene expression data

Uses Software

• biclust
• LAS

Cites Work

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• Improved biclustering of microarray data demonstrated through systematic performance tests
• A test for spatial autocorrelation in seemingly unrelated regressions
• Limiting distribution of the \(G\) statistics
• Finding large average submatrices in high dimensional data
• Modern Multivariate Statistical Techniques
• Improving the performance of the iterative signature algorithm for the identification of relevant patterns

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