Asymptotic theory for maximum likelihood estimation of the memory parameter in stationary Gaussian processes
Year of publication: |
2012
|
---|---|
Authors: | Lieberman, Offer ; Rosemarin, Roy ; Rousseau, Judith |
Published in: |
Econometric theory. - Cambridge : Cambridge Univ. Press, ISSN 0266-4666, ZDB-ID 901661-2. - Vol. 28.2012, 2, p. 457-470
|
Subject: | Schätztheorie | Estimation theory | Zeitreihenanalyse | Time series analysis | Maximum-Likelihood-Schätzung | Maximum likelihood estimation | Stochastischer Prozess | Stochastic process |
-
Hawkes-based models for high frequency financial data
Nyström, Kaj, (2022)
-
Likelihood inference for a COGARCH process using sequential Monte Carlo
Wee, Damien C.H., (2019)
-
Enforcing stationarity in exact maximum likelihood estimation of pt̕h order autoregressive processes
Bunzel, Henning, (1985)
- More ...
-
Small-sample likelihood-based inference in the ARFIMA-model
Lieberman, Offer, (1999)
-
Small-sample likelihood-based inference in the ARFIMA model
Lieberman, Offer, (2000)
-
Lieberman, Offer, (1999)
- More ...