AbstractIn 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)
In many situations dependent variable in a regression equation is not continual, but discrete choice...
summary:The least squres invariant quadratic estimator of an unknown covariance function of a stocha...
Several recent publications investigated Markov-chain modelling of linear optimization by a $(1,\lam...
AbstractA necessary and sufficient condition is given for the existence of stationary probability di...
Abstract – In a finite stationary Markov chain, transition probabilities may depend on some explanat...
It is known that if the Gauss-Markov model M = {Y,Xβ, σ<SUP>2</SUP>V} has the column space of the mo...
In this paper, we consider a random quadratic form of strictly stationary processes. A central limit...
URL des Cahiers : https://halshs.archives-ouvertes.fr/CAHIERS-MSECahiers de la MSE - 2004.59 - Série...
Models defined by a set of conditional independence restrictions play an important role in statistic...
Several recent publications investigated Markov-chain modelling of linear optimization by a (1,lambd...
Let be a Markov chain with a unique stationary distribution . Let h be a bounded measurable function...
AbstractConditionally specified statistical models are frequently constructed from one-parameter exp...
summary:This paper concerns generalized quadratic forms for the multivariate case. These forms are u...
AbstractThe free Meixner laws arise as the distributions of orthogonal polynomials with constant-coe...
Models that are constructed from conditionally specified distributions are often applied to data set...
In many situations dependent variable in a regression equation is not continual, but discrete choice...
summary:The least squres invariant quadratic estimator of an unknown covariance function of a stocha...
Several recent publications investigated Markov-chain modelling of linear optimization by a $(1,\lam...
AbstractA necessary and sufficient condition is given for the existence of stationary probability di...
Abstract – In a finite stationary Markov chain, transition probabilities may depend on some explanat...
It is known that if the Gauss-Markov model M = {Y,Xβ, σ<SUP>2</SUP>V} has the column space of the mo...
In this paper, we consider a random quadratic form of strictly stationary processes. A central limit...
URL des Cahiers : https://halshs.archives-ouvertes.fr/CAHIERS-MSECahiers de la MSE - 2004.59 - Série...
Models defined by a set of conditional independence restrictions play an important role in statistic...
Several recent publications investigated Markov-chain modelling of linear optimization by a (1,lambd...
Let be a Markov chain with a unique stationary distribution . Let h be a bounded measurable function...
AbstractConditionally specified statistical models are frequently constructed from one-parameter exp...
summary:This paper concerns generalized quadratic forms for the multivariate case. These forms are u...
AbstractThe free Meixner laws arise as the distributions of orthogonal polynomials with constant-coe...
Models that are constructed from conditionally specified distributions are often applied to data set...
In many situations dependent variable in a regression equation is not continual, but discrete choice...
summary:The least squres invariant quadratic estimator of an unknown covariance function of a stocha...
Several recent publications investigated Markov-chain modelling of linear optimization by a $(1,\lam...