Efficient and adaptive post-model-selection estimators
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Publication:1298924
DOI10.1016/S0378-3758(98)00236-5zbMath0926.62073OpenAlexW1991862201MaRDI QIDQ1298924
Publication date: 28 November 1999
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(98)00236-5
Markov chainssemiparametric modellocal asymptotic normalitysuper-efficiencyinformation criterioncontext algorithmAR modeldiscrete nuisance parameter
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Markov processes: estimation; hidden Markov models (62M05)
Cites Work
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- Achieving information bounds in non and semiparametric models
- Estimating the dimension of a model
- Adaptive estimation in time-series models
- Efficient estimation in nonlinear autoregressive time-series models
- On adaptive estimation in stationary ARMA processes
- An iterated logarithm result for autocorrelations of a stationary linear process
- Variable length Markov chains
- Invariance principles for the law of the iterated logarithm for martingales and processes with stationary increments
- A universal data compression system
- A universal finite memory source