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We use orthogonality measures of Askey--Wilson polynomials to construct Markov processes with linear regressions and quadratic conditional variances. Askey--Wilson polynomials are orthogonal martingale polynomials for these processes.

Probability · Mathematics 2014-07-29 Włodek Bryc , Jacek Wesołowski

In this paper we derive martingale estimating functions for the dimensionality parameter of a Bessel process based on the eigenfunctions of the diffusion operator. Since a Bessel process is non-ergodic and the theory of martingale…

Probability · Mathematics 2020-07-27 Nicole Hufnagel , Jeannette H. C. Woerner

In this paper, we review the theory of time space-harmonic polynomials developed by using a symbolic device known in the literature as the classical umbral calculus. The advantage of this symbolic tool is twofold. First a moment…

Probability · Mathematics 2013-04-02 E. Di Nardo

For some discrete parameters $k\ge0$, multivariate (Dunkl-)Bessel processes on Weyl chambers $C$ associated with root systems appear as projections of Brownian motions without drift on Euclidean spaces $V$, and the associated transition…

Probability · Mathematics 2025-12-12 Michael Voit

Let $X$ and $Y$ denote two independent squared Bessel processes of dimension $m$ and $n-m$, respectively, with $n\geq 2$ and $m \in [0, n)$, making $X+Y$ a squared Bessel process of dimension $n$. For appropriately chosen function $s$, the…

Probability · Mathematics 2019-05-17 Constantinos Kardaras , Johannes Ruf

Sets of orthogonal martingales are importants because they can be used as stochastic integrators in a kind of chaotic representation property, see [20]. In this paper, we revisited the problem studied by W. Schoutens in [21], investigating…

Probability · Mathematics 2013-11-19 Edmundo J. Huertas , Nuria Torrado , Fabrizio Leisen

We stduy radial Dunkl processes associated with dihedral systems: we derive the semi group, the generalized Bessel function, the Dunkl-Hermite polynomials. Then we give a skew product decomposition by means of independent Bessel processes…

Probability · Mathematics 2008-12-28 Nizar Demni

By means of a symbolic method, in this paper we introduce a new family of multivariate polynomials such that multivariate L\'evy processes can be dealt with as they were martingales. In the univariate case, this family of polynomials is…

Probability · Mathematics 2013-10-17 E. Di Nardo , I. Oliva

We write down the generalized Bessel function associated with the root system of type $D$ by means of multivariate hypergeometric series. Our hint comes from the particular case of the Brownian motion in the Weyl chamber of type $D$.

Probability · Mathematics 2008-11-05 Nizar Demni

We write, for geometric index values, a probabilistic proof of the product formula for spherical Bessel functions. Our proof has the merit to carry over without any further effort to Bessel-type hypergeometric functions of one matrix…

Probability · Mathematics 2012-02-24 Luc Deleaval , Nizar Demni

We study general properties for the family of stochastic processes with polynomial regression property, that is that every conditional moment of the process is a polynomial. It turns out that then there exists a family of polynomial…

Probability · Mathematics 2017-04-04 Paweł J. Szabłowski

We consider mixed type multiple orthogonal polynomials associated with a system of weight functions consisting of two vectors. One vector is defined in terms of scaled modified Bessel function of the first kind $I_\mu$ and $I_{\mu+1}$, the…

Classical Analysis and ODEs · Mathematics 2016-09-28 Lun Zhang

This paper is a continuation of our previous research on quadratic harnesses, that is, processes with linear regressions and quadratic conditional variances. Our main result is a construction of a Markov process from given orthogonal and…

Probability · Mathematics 2009-09-29 Włodzimierz Bryc , Wojciech Matysiak , Jacek Wesołowski

We study a class of stationary Markov processes with marginal distributions identifiable by moments such that every conditional moment of degree say $m$ is a polynomial of degree at most $m\;\text{.}\;$ We show that then under some…

Probability · Mathematics 2017-05-19 Paweł J. Szabłowski

We study differential operators associated with families of polynomials orthonormal with respect to certain measures. These operators, when applied to the Fourier transforms of such measures, produce basis functions for expansions of…

Classical Analysis and ODEs · Mathematics 2025-12-03 Aleksandar Ignjatovic

We consider ensembles of random matrices, known as biorthogonal ensembles, whose eigenvalue probability density function can be written as a product of two determinants. These systems are closely related to multiple orthogonal functions. It…

Mathematical Physics · Physics 2012-08-13 Patrick Desrosiers , Peter J. Forrester

We consider matrix orthogonal polynomials related to Bessel type matrices of weights that can be defined in terms of a given matrix Pearson equation. From a Riemann-Hilbert problem we derive first and second order differential relations for…

Classical Analysis and ODEs · Mathematics 2025-02-27 Amílcar Branquinho , Ana Foulquié-Moreno , Assil Fradi , Manuel Mañas

Let R and S be two irreducible root systems spanning the same vector space and having the same Weyl group W, such that S (but not necessarily R) is reduced. For each such pair (R,S) we construct a family of W-invariant orthogonal…

Quantum Algebra · Mathematics 2007-05-23 Ian G. Macdonald

In this paper we introduce probability-preserving convolution algebras on cones of positive semidefinite matrices over one of the division algebras $\b F = \b R, \b C$ or $\b H$ which interpolate the convolution algebras of radial bounded…

Classical Analysis and ODEs · Mathematics 2014-05-14 Margit Rösler

In this paper we obtain skew-product representations of the multidimensional Dunkl processes which generalize the skew-product decomposition in dimension 1 obtained in L. Gallardo and M. Yor. Some remarkable properties of the Dunkl…

Probability · Mathematics 2008-08-25 Oleksandr Chybiryakov
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