Results 131 to 140 of about 1,908 (201)

A physics-informed stochastic model for the long-term correlation of earthquakes

Communications Earth & Environment
In this work, a simple physics-informed stochastic earthquake catalog simulator is presented for the modeling of long memory on a single fault (or crustal volume). The simulator combines the fundamental statistical laws of seismology (i.e., the Gutenberg-
Simone Barani, Matteo Taroni, Davide Zaccagnino, Pietro Artale Harris, Giuseppe Petrillo   +4 more
doaj   +1 more source

Multi-dimensional Point Process Models in R

A software package for fitting and assessing multidimensional point process models using the R statistical computing environment is described. Methods of residual analysis based on random thinning are discussed and implemented.
Roger Peng
core  

The statistical education of Harold Jeffreys

, 2003
The paper considers the statistical work of the applied mathematician Harold Jeffreys. In 1933-4 Jeffreys had a controversy with R. A. Fisher, the leading statistician of the time.
Aldrich, John
core  

Semi-parametric dynamic time series modelling with applications to detecting neural dynamics [PDF]

, 2007
This paper illustrates the theory and applications of a methodology for non-stationary time series modeling which combines sequential parametric Bayesian estimation with non-parametric change-point testing.
Smith, J. Q., Rigat, Fabio
core  

Occurrence of major earthquakes is as stochastic as smaller ones. [PDF]

Sci Adv
Ghazoui Z, Grasso JR, Watlet A, Caudron C, Karimov A, Yokoyama Y.   +5 more
europepmc   +1 more source

Spatiotemporal characteristics and geophysical drivers of the fractal dimension and b-value in North China seismicity. [PDF]

PLoS One
Bi J, Li Y, Pan Y.
europepmc   +1 more source

Statistical Seismology

, 2021
David A. Rhoades, Sebastian Hainzl, Annemarie Christophersen   +2 more
core   +1 more source

Insights into the seismogenesis and tectonic implications of an isolated intraplate earthquake (M4.0) on February 17, 2025, in Delhi. [PDF]

Sci Rep
Prajapati SK, Bhattacharjee S, Pandey AK, Singh RK, Mishra OP.   +4 more
europepmc   +1 more source

Investigating the predictive power of seismic statistical features using ensemble learning. [PDF]

PLoS One
Quan W, Gorse D.
europepmc   +1 more source

Learning earthquake ground motions via conditional generative modeling. [PDF]

Nat Commun
Ren P, Nakata R, Lacour M, Naiman I, Nakata N, Song J, Bi Z, Malik OA, Morozov D, Azencot O, Erichson NB, Mahoney MW.   +11 more
europepmc   +1 more source