Curve estimation for mn-decomposable time series including bilinear processes

Author:

Chanda K.C,Ruymgaart F.H

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference23 articles.

1. Non-strong mixing autoregressive processes;Andrews;J. Appl. Probab.,1984

2. A central limit theorem for m-dependent random variables with unbounded m;Berk;Ann. Probab.,1973

3. Asymptotic normality of L-statistics based on m(n)-decomposable time series;Chanda;J. Multivariate Anal.,1990

4. General linear processes: A property of the empirical process applied to density and mode estimation;Chanda;J. Time Ser. Anal.,1990

5. On Bahadur's Representation of Sample Quantiles for mn-decomposable Processes;Chanda,1990

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1. Postfiltering versus prefiltering for signal recovery from noisy samples;IEEE Transactions on Information Theory;2003-12

2. Sample Quantiles for Locally Dependent Processes;Statistical Data Analysis Based on the L1-Norm and Related Methods;2002

3. Conditional empirical, quantile and difference processes for a large class of time series with applications;Journal of Statistical Planning and Inference;1994-06

4. Nonparametric prediction for random fields;Stochastic Processes and their Applications;1993-10

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