GPU accelerated MCMC for modeling terrorist activity

DOI10.1016/J.CSDA.2013.03.027zbMath1471.62215DBLPjournals/csda/WhiteP14OpenAlexW2028629449WikidataQ57445094 ScholiaQ57445094MaRDI QIDQ1621343

Michael D. Porter, Gentry White

Publication date: 8 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.03.027

zbMATH Keywords

BayesianMCMCterrorismconvolution processGPU parallel processingHawkes

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics (62P99) Numerical algorithms for specific classes of architectures (65Y10)

Related Items (5)

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Uses Software

• CUDA
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Cites Work

• Unnamed Item
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• Adaptive Rejection Metropolis Sampling within Gibbs Sampling
• An Introduction to the Theory of Point Processes
• Adaptive Rejection Sampling for Gibbs Sampling
• Equation of State Calculations by Fast Computing Machines
• Spectra of some self-exciting and mutually exciting point processes
• The elements of statistical learning. Data mining, inference, and prediction

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