Inference in stochastic processes-III

Author:

Rao M. M.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Analysis,General Mathematics,Statistics and Probability,Analysis

Reference28 articles.

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3. Beutler, F. J.: Sampling theorems and bases in Hubert space. Inform. and Control. 4, 97?117 (1961).

4. Cramér, H.: A contribution to the theory of stochastic processes. Proc. Second Berkeley Sympos. math. Statist. Probability, 329?339 (1951).

5. De Groot, M. H., and M. M. Rao: Bayes estimation with convex loss. Ann. math. Statistics 34, 839?846 (1963).

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1. The strong law of large numbers for sequential decisions under uncertainty;IEEE Transactions on Information Theory;1994-05

2. Harmonizable processes and inference: unbiased prediction for stochastic flows;Journal of Statistical Planning and Inference;1994-04

3. Harmonizable Signal Extraction, Filtering and Sampling;Topics in Non-Gaussian Signal Processing;1989

4. Some sampling properties of empirical characteristic functions viewed as harmonizable stochastic processes;Journal of Statistical Planning and Inference;1987-01

5. Lp-linear regression, consistency and significative regression in median;Journal of Statistical Planning and Inference;1986-01

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