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On stationarity and β-mixing property of certain nonlinear GARCH(p,q) models

Author
LEE, O1 ; SHIN, D. W1
[1] Department of Statistics, Ewha University, Seoul 120-750, Korea, Republic of
Source

Statistics & probability letters. 2005, Vol 73, Num 1, pp 25-35, 11 p ; ref : 16 ref

CODEN
SPLTDC
ISSN
0167-7152
Scientific domain
Mathematics
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
/?-Mixing GARCH model Moments Stationarity
Keyword (fr)
Condition suffisante Modèle non linéaire Moment statistique Mélange loi probabilité Mélangeage Méthode statistique Théorie probabilité Décomposition exponentielle Loi stationnaire Modèle GARCH
Keyword (en)
Sufficient condition Non linear model Statistical moment Mixed distribution Mixing Statistical method Probability theory Exponential decay Stationary distribution GARCH model
Keyword (es)
Condición suficiente Modelo no lineal Momento estadístico Mezcla ley probabilidad Mezclado Método estadístico Teoría probabilidad
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01K Special processes (renewal theory, markov renewal processes, semi-markov processes, statistical mechanics type models, applications)

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02F Distribution theory

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02M Inference from stochastic processes; time series analysis

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16784494

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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