V. Pisarenko

TL;DR: In this article, the problem of statistical estimation of earthquake hazard parameters is considered and two estimators are suggested: an unbiased estimator with the lowest possible variance and a Bayesian estimator.

TL;DR: In this article, a simple physical model was proposed to explain the accelerating displacements preceding some catastrophic landslides, based on a slider-block model with a state and velocity-dependent friction law.

TL;DR: In this paper, the authors proposed a two-branch model for the distribution of main-shock magnitudes, which is composed of two branches, the pure Gutenberg-Richter distribution up to an upper magnitude threshold m1, followed by another branch with a maximum upper magnitude bound Mmax.

TL;DR: In this article, the authors developed a new method for the statistical estimation of the tail of the distribution of earthquake sizes recorded in the Worldwide Harvard catalog of seismic moments converted to mW-magnitudes (1977-2004 and 1977-2006).

TL;DR: In this paper, the authors present a quantitative statistical test for the presence of a crossover in the Gutenberg-Richter distribution of earthquake seismic moments, separating the usual power-law regime for seismic moments less than c petertodd 0 from another faster decaying regime beyond c¯¯¯¯ 0.