A limit result for the prior predictive applied to checking for prior-data conflict

2011 ◽  
Vol 81 (8) ◽  
pp. 1034-1038 ◽  
Author(s):  
Michael Evans ◽  
Gun Ho Jang
Keyword(s):  

2020 ◽  
Vol 31 (1) ◽  
Author(s):  
Hui Huang ◽  
Jinniao Qiu

AbstractIn this paper, we propose and study a stochastic aggregation–diffusion equation of the Keller–Segel (KS) type for modeling the chemotaxis in dimensions $$d=2,3$$ d = 2 , 3 . Unlike the classical deterministic KS system, which only allows for idiosyncratic noises, the stochastic KS equation is derived from an interacting particle system subject to both idiosyncratic and common noises. Both the unique existence of solutions to the stochastic KS equation and the mean-field limit result are addressed.



2008 ◽  
Vol 39 (2) ◽  
pp. 353-353
Author(s):  
Hiroaki Ino ◽  
Tomohiko Kawamori
Keyword(s):  


2001 ◽  
Vol 2 (1) ◽  
pp. 79
Author(s):  
Li-xin ZHANG
Keyword(s):  


1989 ◽  
Vol 26 (04) ◽  
pp. 880-885 ◽  
Author(s):  
K. Kämmerle

In this paper a bisexual Moran model is introduced. The population consists of N pairs of individuals. At times t = 1, 2, ·· ·two individuals are born, who ‘choose their parents randomly' and independently of each other. Then one of the pairs is removed and replaced by the two individuals born at that instant. The extinction probability of the descendants of a single pair and the number of ancestors of a whole generation are studied. A limit result for large population sizes has been derived by diffusion approximation methods.



1983 ◽  
Vol 20 (01) ◽  
pp. 47-60 ◽  
Author(s):  
M. Berman ◽  
G. K. Eagleson

Silverman and Brown (1978) have derived Poisson limit theorems for certain sequences of symmetric statistics, based on a sample of independent identically distributed random variables. In this paper an incomplete version of these statistics is considered and a Poisson limit result shown to hold. The powers of some tests based on the incomplete statistic are investigated and the main results of the paper are used to simplify the derivations of the asymptotic distributions of some statistics previously published in the literature.





2013 ◽  
Vol 58 (3) ◽  
pp. 550-583
Author(s):  
M Ruiz-Medina ◽  
M Ruiz-Medina ◽  
Rosa Maria Crujeiras ◽  
Rosa Maria Crujeiras


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