activity
20032021
most citedGambling scores in earthquake prediction analysis

19 citations · 99 across the 20 of their papers we have counts for

collaborators

20 papers

math.PR2021★ 6 cited

The persistence exponents of Gaussian random fields connected by the Lamperti transform

George Molchan

The (fractional) Brownian sheet is a simplest example of a Gaussian random field X whose covariance is the tensor product of a finite number (d) of nonnegative correlation function…

math.PR2020★ 1 cited

Leadership exponent in the pursuit problem for 1-D random particles

G. Molchan

For n + 1 particles moving independently on a straight line, we study the question of how long the leading position of one of them can last. Our focus is the asymptotics of the pro…

physics.geo-ph2019

Gusev's stochastic model for the seismic source: high-frequency behavior in the far zone

G. M. Molchan

This paper discusses local features in the source function that generate in the far zone simultaneously (a) a quadratic decay of the source spectrum and (b) the loss of radiation d…

physics.geo-ph2019

Fractal seismicity and seismic risk

G. M. Molchan

Recently, attempts have been made to take into account the fractal properties of seismicity when mapping the long-term rate of earthquakes. The paper touches upon the theoretical a…

math.PR2018

Factional Brownian motion with multivariate time in a large convex area: persistence exponents

G. Molchan

The fractional Brownian motion of index , H-FBM, with d-dimensional time is considered on an expanding set TG, where G is a bounded convex domain that contains 0 at its…

physics.geo-ph2017

Comment on "Assessing CN earthquake predictions in Italy" by M. Taroni, W. Marzocchi, P. Roselli

G. Molchan, A. Peresan, G. F. Panza +2

The paper by Taroni et al. (2016) considers results of forward prediction of Italian strong earthquakes by CN algorithm with the declared intent of providing "a careful assessment…