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Springer电子图书(3)
SpringerLink电子期刊(8)
GSW全文库(1)
Elsevier电子期刊(12)
在“
SpringerLink电子期刊
”中,
命中:
8
条,耗时:0.0240157 秒
在所有数据库中总计命中:
24
条
1.
Phantom distribution functions for some stationary sequences
作者:
Paul
Doukhan
;
Adam Jakubowski
;
Gabriel Lang
关键词:
Strictly stationary processes
;
Extremes
;
Extremal index
;
Phantom distribution function
;
α
;
mixing
;
Weak dependence
;
Lindley’s process
;
Random walk Metropolis algorithm
;
Primary-0G70
;
Secondary-0G10
;
60F99
刊名:Extremes
出版年:2015
2.
Limit theorems for record counts and times in the F α -scheme
作者:
Paul
Doukhan
(1)
Oleg I. Klesov (2)
Anthony G. Pakes (3)
Josef G. Steinebach (4)
关键词:
Number of records
;
Record times
;
F α
;
scheme
;
Laws of large numbers
;
Asymptotic normality
;
Random environments
;
60G70
;
60F15
刊名:Extremes
出版年:2013
3.
Comments on: Some recent theory for autoregressive count time series
作者:
Paul
Doukhan
(1)
doukhan
@u-cergy.fr
刊名:TEST
出版年:2012
4.
Comments on: Some recent theory for autoregressive count time series
作者:
Paul
Doukhan
(1)
doukhan
@u-cergy.fr
刊名:TEST
出版年:2012
5.
Weak dependence, models and some applications
作者:
Paul
Doukhan
;
Nathana?l Mayo and Lionel Truquet
关键词:
Weak dependence
;
Asymptotic properties of estimators
;
Random fields
;
Functional limit theorems
;
Invariance principles
刊名:Metrika
出版年:2009
6.
An empirical central limit theorem with applications to copulas under weak dependence
作者:
Paul
Doukhan
;
Jean-David Fermanian and Gabriel Lang
关键词:
Copulas
;
Multivariate FCLT
;
Weak dependence
刊名:Statistical Inference for Stochastic Processes
出版年:2009
7.
A functional limit theorem for
¦Ç
-weakly dependent processes and its applications
作者:
Jean-Marc Bardet
;
Paul
Doukhan
and Jos¨¦ Rafael Le¨®n
关键词:
Central limit theorem
;
Weakly dependent processes
;
Sample moments and cumulants
刊名:Statistical Inference for Stochastic Processes
出版年:2008
8.
Rates in the Empirical Central Limit Theorem for Stationary Weakly Dependent Random Fields
作者:
Paul
Doukhan
and Gabriel Lang
关键词:
stationary sequences
;
inequalities
;
Rosenthal inequality
;
positive dependence
;
mixing
;
central limit theorem
刊名:Statistical Inference for Stochastic Processes
出版年:2002
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