SOME CENTRAL LIMIT THEOREMS FOR SUPER BROWNIAN MOTION

1999 ◽  
Vol 19 (2) ◽  
pp. 121-126 ◽  
Author(s):  
Zenghu Li
2004 ◽  
Vol 41 (1) ◽  
pp. 202-210
Author(s):  
Wen-Ming Hong

We prove some central limit theorems for a two-level super-Brownian motion with random immigration, which lead to limiting Gaussian random fields. The covariances of those Gaussian fields are explicitly characterized.


2004 ◽  
Vol 41 (01) ◽  
pp. 202-210
Author(s):  
Wen-Ming Hong

We prove some central limit theorems for a two-level super-Brownian motion with random immigration, which lead to limiting Gaussian random fields. The covariances of those Gaussian fields are explicitly characterized.


2009 ◽  
Vol 25 (3) ◽  
pp. 748-763 ◽  
Author(s):  
Kairat T. Mynbaev

Standardized slowly varying regressors are shown to be Lp-approximable. This fact allows us to provide alternative proofs of asymptotic expansions of nonstochastic quantities and central limit results due to P.C.B. Phillips, under a less stringent assumption on linear processes. The recourse to stochastic calculus related to Brownian motion can be completely dispensed with.


Author(s):  
WENMING HONG

The limiting behavior of the expectation of the super-Brownian motion with super-Brownian immigration under the quenched probability is considered: A central limit theorem is proved for d≥3, an ergodic property is considered for d =2 and a local large deviation is obtained for d = 3.


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