The marked empirical process to test nonlinear time series against a large class of alternatives when the random vectors are nonstationary and absolutely regular
DOI10.1080/02331888.2010.507406zbMath1314.62204OpenAlexW2004142664MaRDI QIDQ2892897
Michel Harel, Echarif Elharfaoui
Publication date: 25 June 2012
Published in: Unnamed Author (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2010.507406
nonstationarityresidualsmarked empirical processSkorohod topologymodel check for regressiongeneral AR modelgeneral AR-ARCH modelgeometrical absolute regularity
Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05) Order statistics; empirical distribution functions (62G30) Functional limit theorems; invariance principles (60F17)
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