Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
An, Hong-Zhi
and
Chen, Zhao-guo
1982.
On convergence of LAD estimates in autoregression with infinite variance.
Journal of Multivariate Analysis,
Vol. 12,
Issue. 3,
p.
335.
Heathcote, C. R.
and
Welsh, A. H.
1983.
The robust estimation of autoregressive processes by functional least squares.
Journal of Applied Probability,
Vol. 20,
Issue. 4,
p.
737.
Masry, Elias
and
Cambanis, Stamatis
1984.
Spectral density estimation for stationary stable processes.
Stochastic Processes and their Applications,
Vol. 18,
Issue. 1,
p.
1.
Andrews, Donald W. K.
1987.
Least Squares Regression with Integrated or Dynamic Regressors under Weak Error Assumptions.
Econometric Theory,
Vol. 3,
Issue. 1,
p.
98.
Cogger, Kenneth O.
1988.
Proposals for research in time series forecasting.
International Journal of Forecasting,
Vol. 4,
Issue. 3,
p.
403.
Olsen, E.T.
and
Ruzinsky, S.A.
1989.
Characterization of the LAD (L/sub 1/) AR parameter estimator when applied to stationary ARMA, MA, and higher order AR processes.
IEEE Transactions on Acoustics, Speech, and Signal Processing,
Vol. 37,
Issue. 9,
p.
1451.
Ruzinsky, S.A.
and
Olsen, E.T.
1989.
Strong consistency of the LAD (L/sub 1/) estimator of parameters of stationary autoregressive processes with zero mean.
IEEE Transactions on Acoustics, Speech, and Signal Processing,
Vol. 37,
Issue. 4,
p.
597.
Zala, C.
and
Barrodale, I.
1990.
Algorithms for Approximation II.
p.
406.
Davis, Richard A.
Knight, Keith
and
Liu, Jian
1992.
M-estimation for autoregressions with infinite variance.
Stochastic Processes and their Applications,
Vol. 40,
Issue. 1,
p.
145.
Nassiuma, Dankit
1993.
NON‐STATIONARY AUTOREGRESSIVE MOVING‐AVERAGE PROCESSES WITH INFINITE VARIANCE.
Journal of Time Series Analysis,
Vol. 14,
Issue. 3,
p.
297.
Shao, M.
and
Nikias, C.L.
1993.
Signal processing with fractional lower order moments: stable processes and their applications.
Proceedings of the IEEE,
Vol. 81,
Issue. 7,
p.
986.
Pino, Francisco A.
and
Morettin, Pedro A.
1993.
The consistency of the L1norm estimates in arma models.
Communications in Statistics - Theory and Methods,
Vol. 22,
Issue. 8,
p.
2185.
Bodenschatz, J.S.
and
Nikias, C.L.
1997.
Symmetric alpha-stable filter theory.
IEEE Transactions on Signal Processing,
Vol. 45,
Issue. 9,
p.
2301.
Meintanis, S.G
and
Donatos, G.S
1999.
Finite-sample performance of alternative estimators for autoregressive models in the presence of outliers.
Computational Statistics & Data Analysis,
Vol. 31,
Issue. 3,
p.
323.
Thavaneswaran, A.
and
Peiris, S.
1999.
Estimation for regression with infinite variance errors.
Mathematical and Computer Modelling,
Vol. 29,
Issue. 10-12,
p.
177.
Masry, E.
2000.
Alpha-stable signals and adaptive filtering.
IEEE Transactions on Signal Processing,
Vol. 48,
Issue. 11,
p.
3011.
Thavaneswaran, A.
and
Peiris, S.
2001.
Recursive estimation for regression with infinite variance fractional ARIMA noise.
Mathematical and Computer Modelling,
Vol. 34,
Issue. 9-11,
p.
1133.
Hall, Peter
and
Yao, Qiwei
2003.
Inference in Arch and Garch Models with Heavy-Tailed Errors.
Econometrica,
Vol. 71,
Issue. 1,
p.
285.
Zha, Daifeng
2007.
Robust multiuser detection based on least p-norm state space filtering model.
Journal of Communications and Networks,
Vol. 9,
Issue. 2,
p.
185.
Zha, Daifeng
2007.
Robust Multiuser Detection Method Based on Least p-Norm State Space Criterion.
Wireless Personal Communications,
Vol. 40,
Issue. 2,
p.
191.