Add to ORKGPROBABILISTIC MODELLING OF EARTHQUAKE OCCURRENCE: FIRST EXAMPLES OF DATA INTEGRATION WITHIN A BAYESIAN FRAMEWOR
This thesis is divided in three chapters. In the first chapter we analyse the results of the world ...
We constructed a model of earthquakes (M ≥ 5.0) in Kanto, central Japan, based on three parameters: ...
A general unifying approach to system identification is presented within a Bayesian statistical fra...
PROBABILISTIC MODELLING OF EARTHQUAKE OCCURRENCE: FIRST EXAMPLES OF DATA INTEGRATION WITHIN A BAYESI...
We developed a robust Bayesian inversion scheme to plan and analyze laboratory creep compaction expe...
We propose a Bayesian framework for the combination of catalogs of large earthquakes and dated cumul...
We discuss the problem of earthquake forecasting in the context of new models for the dynamics based...
This paper presents a robust parameter estimation technique for a probabilistic earthquake hazard mo...
Our physical understanding of earthquakes, along with our ability to forecast them, is hampered by l...
peer reviewedStatistical modelling of earthquakes is a challenging and delicate topic: research acti...
International audienceABSTRACT This article introduces a framework to supplement short historical ca...
Simulating Seismicity in a Fault Network Model: the Effect of Interaction on Event Statistic
To account for the randomness (aleatory variability) and limited knowledge (epistemic uncertainty) ...
Abstract. When analyzing rock deformation experimental data, one deals with both uncertainty and com...
The estimation of finite fault earthquake source models is an inherently underdetermined problem: t...
This thesis is divided in three chapters. In the first chapter we analyse the results of the world ...
We constructed a model of earthquakes (M ≥ 5.0) in Kanto, central Japan, based on three parameters: ...
A general unifying approach to system identification is presented within a Bayesian statistical fra...
PROBABILISTIC MODELLING OF EARTHQUAKE OCCURRENCE: FIRST EXAMPLES OF DATA INTEGRATION WITHIN A BAYESI...
We developed a robust Bayesian inversion scheme to plan and analyze laboratory creep compaction expe...
We propose a Bayesian framework for the combination of catalogs of large earthquakes and dated cumul...
We discuss the problem of earthquake forecasting in the context of new models for the dynamics based...
This paper presents a robust parameter estimation technique for a probabilistic earthquake hazard mo...
Our physical understanding of earthquakes, along with our ability to forecast them, is hampered by l...
peer reviewedStatistical modelling of earthquakes is a challenging and delicate topic: research acti...
International audienceABSTRACT This article introduces a framework to supplement short historical ca...
Simulating Seismicity in a Fault Network Model: the Effect of Interaction on Event Statistic
To account for the randomness (aleatory variability) and limited knowledge (epistemic uncertainty) ...
Abstract. When analyzing rock deformation experimental data, one deals with both uncertainty and com...
The estimation of finite fault earthquake source models is an inherently underdetermined problem: t...
This thesis is divided in three chapters. In the first chapter we analyse the results of the world ...
We constructed a model of earthquakes (M ≥ 5.0) in Kanto, central Japan, based on three parameters: ...
A general unifying approach to system identification is presented within a Bayesian statistical fra...