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Regularization and selection in Gaussian mixture of autoregressive models

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Publication:4960859
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DOI10.1002/cjs.11332zbMath1474.62054OpenAlexW2758653249MaRDI QIDQ4960859

Abbas Khalili, David A. Stephens, Jiahua Chen

Publication date: 23 April 2020

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11332


zbMATH Keywords

autoregressive modelsmixture modelsLassoinformation criteriaSCAD


Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Ridge regression; shrinkage estimators (Lasso) (62J07) Point estimation (62F10) Statistical aspects of information-theoretic topics (62B10)


Related Items (5)

Estimation and variable selection for mixture of joint mean and variance models ⋮ On Construction and Estimation of Stationary Mixture Transition Distribution Models ⋮ Bayesian nonparametric density autoregression with lag selection ⋮ A generalized mixture integer-valued GARCH model ⋮ Variable selection for skew-normal mixture of joint location and scale models




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