Comment: Lancaster probabilities and Gibbs sampling

DOI10.1214/08-STS252AzbMath1327.62066arXiv0808.3859OpenAlexW1993621272MaRDI QIDQ900455

Gérard Letac

Publication date: 22 December 2015

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0808.3859

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Probability distributions: general theory (60E05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)

Related Items (3)

Two generalized bivariate FGM distributions and rank reduction ⋮ Continuous-time Markov processes, orthogonal polynomials and Lancaster probabilities ⋮ Copulas with Prescribed Correlation Matrix

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Characterization of a class of bivariate distribution functions
• Two necessary conditions on the representation of bivariate distributions by polynomials
• Conjugate priors for exponential families
• Stationary processes indexed by a homogeneous tree
• The diagonal multivariate natural exponential families and their classification
• Lancaster probabilities
• Banach algebras for Jacobi series and positivity of a kernel
• Remarks on functional canonical variates, alternating least squares methods and ACE
• The real powers of the convolution of a negative binomial distribution and a Bernoulli distribution
• The Structure of Bivariate Distributions
• ODD MAN OUT-THE MEIXNER HYPERGEOMETRIC DISTRIBUTION
• Polynomial Expansions of Bivariate Distributions
• Testing for correlation between non-negative variates
• Probabilistic Properties of Bilinear Expansions of Hermite Polynomials
• A CHARACTERIZATION THEOREM FOR POSITIVE DEFINITE SEQUENCES ON THE KRAWTCHOUK POLYNOMIALS1
• Correlations and Canonical Forms of Bivariate Distributions

This page was built for publication: Comment: Lancaster probabilities and Gibbs sampling