Bayesian nonparametric inference for earthquake recurrence time distributions in different tectonic regimes

2010 ◽  
Vol 115 (B1) ◽  
Author(s):  
R. Rotondi
Keyword(s):  
Nonparametric Inference ◽  
Recurrence Time ◽  
Bayesian Nonparametric ◽  
Earthquake Recurrence

Bayesian nonparametric inference for the overlap of daily animal activity patterns

2018 ◽  
Vol 25 (4) ◽  
pp. 471-494 ◽  
Author(s):  
Gabriel Núñez-Antonio ◽  
Manuel Mendoza ◽  
Alberto Contreras-Cristán ◽  
Eduardo Gutiérrez-Peña ◽  
Eduardo Mendoza
Keyword(s):  
Activity Patterns ◽  
Nonparametric Inference ◽  
Bayesian Nonparametric ◽  
Animal Activity

Bayesian nonparametric inference beyond the Gibbs-type framework

2018 ◽  
Vol 45 (4) ◽  
pp. 1062-1091 ◽  
Author(s):  
Federico Camerlenghi ◽  
Antonio Lijoi ◽  
Igor Prünster
Keyword(s):  
Nonparametric Inference ◽  
Bayesian Nonparametric

scholarly journals Bayesian Nonparametric Inference – Why and How

2013 ◽  
Vol 8 (2) ◽  
pp. 269-302 ◽  
Author(s):  
Peter Müller ◽  
Riten Mitra
Keyword(s):  
Nonparametric Inference ◽  
Bayesian Nonparametric

scholarly journals Effect of Time-strengthening Static Friction on Earthquake Recurrence

2020 ◽  
Vol 63 (6) ◽  
Author(s):  
Jeen-Hwa Wang
Keyword(s):  
Friction Coefficient ◽  
Opposite Effect ◽  
Static Friction ◽  
Recurrence Time ◽  
Almost Periodic ◽  
Earthquake Recurrence ◽  
Characteristic Distance ◽  
Static Friction Coefficient ◽  
Simulation Results ◽  
Peak Value

he effect of time-strengthening static friction on earthquake recurrence is numerically studied based on the normalized equation of motion of a one-body spring-slider model with thermal-pressurized slip-weakening friction having the characteristic distance, Uc, which is in terms of static friction coefficient, 𝜇. Considering the time-strengthening static friction coefficient, 𝜇(𝑡) = 𝜇+𝐵×𝑙𝑜𝑔(𝑡), we assume Uc=Uco/(1+𝐵×𝑙𝑜𝑔(𝑡)). Simulation results exhibit that TR, 𝜏D, D, and Vm, which represent the recurrence time of two events, the duration time of slip of an event, the final slip of an event, and the peak value of particle velocity of an event, respectively, are all similar for five values of Uco when B<0.01 and clearly different when B≥0.01. In general, Vm, D, and TR increase with B; and 𝜏D slightly decreases with increasing B and increases with Uco. An increase in D is particularly remarkable when Uco>0.3. The earthquake recurrence is almost periodic for small Uco; while the degree of periodicity decreases when either Uco or B increases. Either the time-predictable model or the slip-predictable model can approximately interpret the simulated earthquake recurrences with small Uco and small B, yet not for those with large Uco and large B. Simulation results exhibit that time-strengthening static friction produce an opposite effect on earthquake recurrence from the time-widening slip zone.    

scholarly journals Bayesian nonparametric inference on stochastic ordering

Biometrika ◽  
2008 ◽  
Vol 95 (4) ◽  
pp. 859-874 ◽  
Author(s):  
D. B. Dunson ◽  
S. D. Peddada
Keyword(s):  
Stochastic Ordering ◽  
Nonparametric Inference ◽  
Bayesian Nonparametric

BAYCLONE: BAYESIAN NONPARAMETRIC INFERENCE OF TUMOR SUBCLONES USING NGS DATA

2014 ◽  
Author(s):  
SUBHAJIT SENGUPTA ◽  
JIN WANG ◽  
JUHEE LEE ◽  
PETER MÜLLER ◽  
KAMALAKAR GULUKOTA ◽  
...  
Keyword(s):  
Nonparametric Inference ◽  
Bayesian Nonparametric ◽  
Ngs Data
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