Analysis of variance for high-dimensional time series
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Publication:1656856
DOI10.1007/S11203-018-9187-7zbMath1450.62114OpenAlexW2810826302MaRDI QIDQ1656856
Masanobu Taniguchi, Hideaki Nagahata
Publication date: 10 August 2018
Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11203-018-9187-7
analysis of varianceDCC-GARCH modelnon-Gaussian vector stationary processhigh-dimensional dependent disturbance
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Analysis of variance and covariance (ANOVA) (62J10)
Cites Work
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- On polynomial approximation for strictly stationary processes
- Time series: theory and methods.
- Asymptotic distribution of statistics based on quadratic entropy and bootstrapping
- Quadratic entropy and analysis of diversity
- On a measure of lack of fit in time series models
- STATIONARY ARCH MODELS: DEPENDENCE STRUCTURE AND CENTRAL LIMIT THEOREM
- On Detecting a Signal in N Stationarily Correlated Noise Series
- ON A COMPREHENSIVE TEST FOR THE HOMOGENEITY OF VARIANCES AND COVARIANCES IN MULTIVARIATE PROBLEMS
- A GENERAL DISTRIBUTION THEORY FOR A CLASS OF LIKELIHOOD CRITERIA
- Multivariate Statistics
- Time Series
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