Multivariate reciprocal stationary Gaussian processes

Author:

Carmichael J.P.,Masse´ J.C.,Theodorescu R.

Publisher

Elsevier BV

Subject

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

Reference14 articles.

1. On Miroshin's second-order reciprocal processes;Abrahams;SIAM J. Appl. Math.,1984

2. Some comments on conditionally Markov and reciprocal Gaussian processes;Abrahams;IEEE Trans. Inform. Theory,1981

3. Contractions strictes et covariances markoviennes;Aupetit;C. R. Math. Rep. Acad. Sci. Canada,1986

4. Processus gaussiens stationnaires re´ciproques sur un intervalle;Carmichael;C. R. Acad. Sci. Paris Se´r. I Math.,1982

5. Remarks on multiple Markov dependence;Carmichael;Rend. Sem. Mat. Univ. Politec. Torino,1984

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1. Gaussian Conditionally Markov Sequences: Dynamic Models and Representations of Reciprocal and Other Classes;IEEE Transactions on Signal Processing;2020

2. Gaussian Reciprocal Sequences from the Viewpoint of Conditionally Markov Sequences;Proceedings of the 2nd International Conference on Vision, Image and Signal Processing;2018-08-27

3. Characterization of Multivariate Stationary Gaussian Reciprocal Diffusions;Journal of Multivariate Analysis;1997-07

4. Gaussian reciprocal diffusions and positive definite sturm-liouville operators;Stochastics and Stochastic Reports;1995-12

5. Generalized fixed-interval smoothers for discrete-time systems;International Journal of Systems Science;1992-09

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