Spatio-temporal point process statistics: a review
Spatio-temporal point process data have been analysed quite a bit in specialised fields, with
the aim of better understanding the inherent mechanisms that govern the temporal evolution …
the aim of better understanding the inherent mechanisms that govern the temporal evolution …
[图书][B] Animal movement: statistical models for telemetry data
The study of animal movement has always been a key element in ecological science,
because it is inherently linked to critical processes that scale from individuals to populations …
because it is inherently linked to critical processes that scale from individuals to populations …
Multidimensional residual analysis of point process models for earthquake occurrences
FP Schoenberg - Journal of the American Statistical Association, 2003 - Taylor & Francis
Residual analysis methods for examining the fit of multidimensional point process models
are applied to point process models for the space–time–magnitude distribution of …
are applied to point process models for the space–time–magnitude distribution of …
Self-exciting point process models of civilian deaths in Iraq
Our goal in this article is to characterize temporal patterns of violent civilian deaths in Iraq.
These patterns are expected to evolve on time-scales ranging from years to minutes as a …
These patterns are expected to evolve on time-scales ranging from years to minutes as a …
Estimating animal resource selection from telemetry data using point process models
Analyses of animal resource selection functions (RSF) using data collected from relocations
of individuals via remote telemetry devices have become commonplace. Increasing …
of individuals via remote telemetry devices have become commonplace. Increasing …
A space–time conditional intensity model for invasive meningococcal disease occurrence
A novel point process model continuous in space–time is proposed for quantifying the
transmission dynamics of the two most common meningococcal antigenic sequence types …
transmission dynamics of the two most common meningococcal antigenic sequence types …
Multivariate spatiotemporal hawkes processes and network reconstruction
There is often latent network structure in spatial and temporal data, and the tools of network
analysis can yield fascinating insights into such data. In this paper, we develop a …
analysis can yield fascinating insights into such data. In this paper, we develop a …
[图书][B] Statistical methods for spatio-temporal systems
B Finkenstadt, L Held, V Isham - 2006 - taylorfrancis.com
Statistical Methods for Spatio-Temporal Systems presents current statistical research issues
on spatio-temporal data modeling and will promote advances in research and a greater …
on spatio-temporal data modeling and will promote advances in research and a greater …
Investigating clustering and violence interruption in gang-related violent crime data using spatial–temporal point processes with covariates
Reported gang-related violent crimes in Los Angeles, California, from 1/1/14 to 12/31/17 are
modeled using spatial–temporal marked Hawkes point processes with covariates. We …
modeled using spatial–temporal marked Hawkes point processes with covariates. We …
A space–time conditional intensity model for evaluating a wildfire hazard index
RD Peng, FP Schoenberg, JA Woods - Journal of the American …, 2005 - Taylor & Francis
Numerical indices are commonly used as tools to aid wildfire management and hazard
assessment. Although the use of such indices is widespread, assessment of these indices in …
assessment. Although the use of such indices is widespread, assessment of these indices in …