19 citations · 30 across the 6 of their papers we have counts for
6 papers
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…
Time-dependent neo-deterministic seismic hazard scenarios: Preliminary report on the M6.2 Central Italy earthquake, 24th August 2016
Antonella Peresan, Vladimir Kossobokov, Leontina Romashkova +3
A scenario-based Neo-Deterministic approach to Seismic Hazard Assessment (NDSHA) is available nowadays, which permits considering a wide range of possible seismic sources as the st…
Forecasting ability of a multi-renewal seismicity model for Italy
G. Molchan, L. Romashkova
The inter-event time, IET, is sometimes used as a basis for prediction of large earthquakes. It is the case when theoretical analysis of prediction is possible. Quite recently a sp…
Gambling scores in earthquake prediction analysis
G. Molchan, L. Romashkova
The number of successes 'n' and the normalized measure of space-time alarm 'tau' are commonly used to characterize the strength of an earthquake prediction method and the significa…
Earthquake prediction analysis: The M8 algorithm
G. Molchan, L. Romashkova
The quality of space-time earthquake prediction is usually characterized by a two-dimensional error diagram (n,tau), where 'n' is the rate of failures-to-predict and 'tau' is the n…
Does the Earth show up an impending mega-earthquake?
Leontina L. Romashkova, Vladimir G. Kossobokov
In line of the intermediate-term monitoring of seismic activity aimed at prediction of the world largest earthquakes the seismic dynamics of the Earth's lithosphere is analysed as…