Modelling Heterogeneous Space–Time Occurrences of Earthquakes and its Residual Analysis
From MaRDI portal
Publication:3435784
DOI10.1111/1467-9876.00420zbMath1111.86301OpenAlexW2170264528MaRDI QIDQ3435784
Masaharu Tanemura, Yosihiko Ogata, Koichi Katsura
Publication date: 7 May 2007
Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1467-9876.00420
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (15)
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes ⋮ A review of self-exciting spatio-temporal point processes and their applications ⋮ Bayesian hierarchical space-time modeling of earthquake data ⋮ Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring ⋮ Hybrid kernel estimates of space-time earthquake occurrence rates using the epidemic-type aftershock sequence model ⋮ Nonstationary ETAS models for nonstandard earthquakes ⋮ Consistent parametric estimation of the intensity of a spatial-temporal point process ⋮ A prospect of earthquake prediction research ⋮ Hidden Second-order Stationary Spatial Point Processes ⋮ Including covariates in a space-time point process with application to seismicity ⋮ Properties of residuals for spatial point processes ⋮ Residual Analysis for Spatial Point Processes (with Discussion) ⋮ Space-time inhomogeneous background intensity estimators for semi-parametric space-time self-exciting point process models ⋮ A recursive point process model for infectious diseases ⋮ Context-aware spatio-temporal event prediction via convolutional Hawkes processes
Cites Work
- Unnamed Item
- Unnamed Item
- A new algorithm for three-dimensional Voronoi tessellation
- Likelihood analysis of spatial inhomogeneity for marked point patterns
- Space-time point-process models for earthquake occurrences
- Evaluation of spatial Bayesian models -- two computational methods
- Asymptotic properties of the maximum likelihood estimator for spatio-temporal point processes
- A Monte Carlo method for an objective Bayesian procedure
- Empirical Bayes Age-Period-Cohort Analysis of Retrospective Incidence Data
- Computing Dirichlet Tessellations in the Plane
- Stochastic Declustering of Space-Time Earthquake Occurrences
- Approximating Point Process Likelihoods with GLIM
- Nonparametric Roughness Penalties for Probability Densities
- A new look at the statistical model identification
This page was built for publication: Modelling Heterogeneous Space–Time Occurrences of Earthquakes and its Residual Analysis