The purpose of this paper is to critically review some history - dependent probabilistic mainshoc k occurrence models with respect to probabilistic seismic hazard analysis (PSHA) . In PSHA , eart h- quake occurrence is usually referred to homogeneous Poisson process (HPP) , which is memory - less ; h owe v- er, when a single fault is of concern and/or the time scal e is different from that of the long term, history - dependent models, may be appropriate. In the study, two categories of models are reviewed : (i) renewal pr o- cesses , which are used to model the sequence of interarrival times of characteristic earthquakes , a nd (ii) si m- ple M arkov renewal processes , in which beyond ea...
Abstract Earthquakes are typically clustered both in space and time. Only main-shocks, the largest m...
Introduction. Risk assessment basis on a prediction of possible hazardous events, in terms of recur...
Introduction. Risk assessment basis on a prediction of possible hazardous events, in terms of recur...
The purpose of this paper is to critically review some history - dependent probabilistic mainsh...
The purpose of this paper is to critically review some history - dependent probabilistic mainsh...
The (re)insurance industry has traditionally used a memoryless, time-independent (i.e., Poissonian) ...
Earthquakes are typically clustered both in space and time. Only main- shocks, the largest magnitud...
Earthquakes are typically clustered both in space and time. Only main- shocks, the largest magnitud...
Earthquakes are typically clustered both in space and time. Only main- shocks, the largest magnitud...
The effects of temporal and magnitude dependence among seismic recur-rences, which are ignored in th...
arthquake Occurrence provides the reader with a review of algorithms applicable for modeling seismic...
Sequence-based probabilistic seismic hazard analysis (SPSHA) allows us to account for the effect of ...
Sequence-based probabilistic seismic hazard analysis (SPSHA) allows us to account for the effect of ...
Sequence-based probabilistic seismic hazard analysis (SPSHA) allows us to account for the effect of ...
Because paleoseismology can extend the record of earthquakes back in time up to several millennia, i...
Abstract Earthquakes are typically clustered both in space and time. Only main-shocks, the largest m...
Introduction. Risk assessment basis on a prediction of possible hazardous events, in terms of recur...
Introduction. Risk assessment basis on a prediction of possible hazardous events, in terms of recur...
The purpose of this paper is to critically review some history - dependent probabilistic mainsh...
The purpose of this paper is to critically review some history - dependent probabilistic mainsh...
The (re)insurance industry has traditionally used a memoryless, time-independent (i.e., Poissonian) ...
Earthquakes are typically clustered both in space and time. Only main- shocks, the largest magnitud...
Earthquakes are typically clustered both in space and time. Only main- shocks, the largest magnitud...
Earthquakes are typically clustered both in space and time. Only main- shocks, the largest magnitud...
The effects of temporal and magnitude dependence among seismic recur-rences, which are ignored in th...
arthquake Occurrence provides the reader with a review of algorithms applicable for modeling seismic...
Sequence-based probabilistic seismic hazard analysis (SPSHA) allows us to account for the effect of ...
Sequence-based probabilistic seismic hazard analysis (SPSHA) allows us to account for the effect of ...
Sequence-based probabilistic seismic hazard analysis (SPSHA) allows us to account for the effect of ...
Because paleoseismology can extend the record of earthquakes back in time up to several millennia, i...
Abstract Earthquakes are typically clustered both in space and time. Only main-shocks, the largest m...
Introduction. Risk assessment basis on a prediction of possible hazardous events, in terms of recur...
Introduction. Risk assessment basis on a prediction of possible hazardous events, in terms of recur...