Stationary Markov chains with linear regressions
In Bryc (Ann. Probab., (1998), to appear), we determined one-dimensional distributions of a stationary field with linear regressions (1) and quadratic conditional variances (2) under a linear constraint (7) on the coefficients of the quadratic expression (3). In this paper, we show that for stationary Markov chains with linear regressions and quadratic conditional variances the coefficients of the quadratic expression are indeed tied by a linear constraint which can take only one of the two alternative forms (7), or (8).
Year of publication: |
2001
|
---|---|
Authors: | Bryc, Wlodzimierz |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 93.2001, 2, p. 339-348
|
Publisher: |
Elsevier |
Keywords: | Conditional moments Polynomial regression Linear regression |
Saved in:
Saved in favorites
Similar items by person
-
Infinitesimal generators of q-Meixner processes
Bryc, Wlodzimierz, (2014)
-
On the large deviation principle for a quadratic functional of the autoregressive process
Bryc, Wlodzimierz, (1993)
-
On the stability problem for conditional expectation
Bryc, Wlodzimierz, (1992)
- More ...