A coupled ETAS-\(\mathrm{I}^{2}\)GMM point process with applications to seismic fault detection
From MaRDI portal
Publication:1621039
DOI10.1214/18-AOAS1134zbMath1405.62226OpenAlexW2891807205WikidataQ64146837 ScholiaQ64146837MaRDI QIDQ1621039
Murat Dundar, George O. Mohler, Yi-Cheng Cheng
Publication date: 15 November 2018
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.aoas/1536652977
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering
- Modeling and estimation of multi-source clustering in crime and security data
- Methods for merging Gaussian mixture components
- Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions
- Robust Bayesian clustering
- Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results
- Space-time point-process models for earthquake occurrences
- GPU accelerated MCMC for modeling terrorist activity
- Self-exciting hurdle models for terrorist activity
- A Bayesian analysis of some nonparametric problems
- Estimation of Space–Time Branching Process Models in Seismology Using an EM–Type Algorithm
- Stochastic Declustering of Space-Time Earthquake Occurrences
- Dealing With Label Switching in Mixture Models
- Self-Exciting Point Process Modeling of Crime
This page was built for publication: A coupled ETAS-\(\mathrm{I}^{2}\)GMM point process with applications to seismic fault detection
