strongly mixing processes
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Nonparametric estimation for stationary and strongly mixing processes on Riemannian manifolds

2021 ◽  
Author(s):  
Amour T. Gbaguidi Amoussou ◽  
Freedath Djibril Moussa ◽  
Carlos Ogouyandjou ◽  
Mamadou Abdoul Diop
Keyword(s):  
Nonparametric Estimation ◽  
Riemannian Manifolds ◽  
Mixing Processes ◽  
Strongly Mixing ◽  
Strongly Mixing Processes

Functional CLT for nonstationary strongly mixing processes

2020 ◽  
Vol 156 ◽  
pp. 108581 ◽  
Author(s):  
Florence Merlevède ◽  
Magda Peligrad
Keyword(s):  
Mixing Processes ◽  
Functional Clt ◽  
Strongly Mixing ◽  
Strongly Mixing Processes

scholarly journals A Strong Law of Large Numbers for Strongly Mixing Processes

2014 ◽  
Vol 43 (18) ◽  
pp. 3777-3796
Author(s):  
A. Kontorovich ◽  
A. Brockwell
Keyword(s):  
Law Of Large Numbers ◽  
Mixing Processes ◽  
Strong Law ◽  
Large Numbers ◽  
Strongly Mixing ◽  
Strongly Mixing Processes

Finite state bilaterally deterministic strongly mixing processes

1996 ◽  
Vol 95 (1) ◽  
pp. 115-133 ◽  
Author(s):  
Robert M. Burton ◽  
Manfred Denker ◽  
Meir Smorodinsky
Keyword(s):  
Mixing Processes ◽  
Strongly Mixing ◽  
Finite State ◽  
Strongly Mixing Processes

Fractional integrals of stationary processes and the central limit theorem

1976 ◽  
Vol 13 (4) ◽  
pp. 723-732 ◽  
Author(s):  
M. Rosenblatt
Keyword(s):  
Limit Theorems ◽  
Fractional Integral ◽  
Burgers Equation ◽  
Fractional Integrals ◽  
Stationary Processes ◽  
Singular Behavior ◽  
Mixing Processes ◽  
The Central Limit Theorem ◽  
Strongly Mixing ◽  
Strongly Mixing Processes

A class of limit theorems involving asymptotic normality is derived for stationary processes whose spectral density has a singular behavior near frequency zero. Generally these processes have ‘long-range dependence’ but are generated from strongly mixing processes by a fractional integral or derivative transformation. Some related remarks are made about random solutions of the Burgers equation.

Fractional integrals of stationary processes and the central limit theorem

1976 ◽  
Vol 13 (04) ◽  
pp. 723-732 ◽  
Author(s):  
M. Rosenblatt
Keyword(s):  
Limit Theorems ◽  
Fractional Integral ◽  
Burgers Equation ◽  
Fractional Integrals ◽  
Stationary Processes ◽  
Singular Behavior ◽  
Mixing Processes ◽  
The Central Limit Theorem ◽  
Strongly Mixing ◽  
Strongly Mixing Processes

A class of limit theorems involving asymptotic normality is derived for stationary processes whose spectral density has a singular behavior near frequency zero. Generally these processes have ‘long-range dependence’ but are generated from strongly mixing processes by a fractional integral or derivative transformation. Some related remarks are made about random solutions of the Burgers equation.

scholarly journals The Wilcoxon Two-sample Statistic on Strongly Mixing processes

1968 ◽  
Vol 39 (4) ◽  
pp. 1202-1209 ◽  
Author(s):  
R. J. Serfling
Keyword(s):  
Mixing Processes ◽  
Sample Statistic ◽  
Strongly Mixing ◽  
Strongly Mixing Processes
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