Results 211 to 220 of about 214,513 (262)

Compatible Conditional Distributions

Journal of the American Statistical Association, 1989
Abstract Consider two families of candidate conditional densities (or probability mass functions), {f(x | y);y ∈ S y} and {f(y | x): x ∈ S x}. This article investigates necessary and sufficient conditions for the existence of a joint density (or joint probability mass function) f(x, y) with the given families as its associated conditional densities ...
Barry C. Arnold, S. James Press
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Multivariate Distributions which have Beta Conditional Distributions

Journal of the American Statistical Association, 1975
Abstract Distributions having beta conditional distributions arise in connection with the generation of distributions for random proportions which do not necessarily possess neutrality properties (see [3]). The family of bivariate distributions for which both conditional distributions are beta is evaluated, and some multivariate extensions are briefly ...
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Ph-distributions arising through conditioning

Communications in Statistics. Stochastic Models, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andersen, Allan T., Neuts, Marcel F., Nielsen, Bo Friis   +2 more
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Bivariate Distributions With Exponential Conditionals

Journal of the American Statistical Association, 1988
Abstract It is frequently easier to visualize conditional distributions of experimental variables rather than joint distributions. In this article we consider the most general class of bivariate distributions such that both sets of conditional densities are exponential.
Barry C. Arnold, David Strauss
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INTEGRATED CONDITIONAL MOMENT TESTS FOR PARAMETRIC CONDITIONAL DISTRIBUTIONS

Econometric Theory, 2011
In this paper we propose consistent integrated conditional moment tests for the validity of parametric conditional distribution models, based on the integrated squared difference between the empirical characteristic function of the actual data and the characteristic function implied by the model.
Bierens, Herman J., Wang, Li
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Conditional Distributions: Discrete

1989
We are continuing directly from lesson 1. In our definition for marginal distributions, we use only n = 3; it is left to the reader’s imagination to describe all the cases for arbitrary n.
Hung T. Nguyen, Gerald S. Rogers
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Conditional Distribution Approximations

1994
Often inference for a subset of model parameters is desired, and the others are treated as nuisance parameters. Among the many methods for attacking this problem is conditional inference, in which sufficient statistics for nuisance parameters are conditioned on. Calculations involving these conditional distributions are often quite difficult.
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Bivariate distributions with pareto conditionals

Statistics & Probability Letters, 1987
For a fixed \(\alpha >0\), the totality of bivariate densities with all conditionals being of the Pareto (\(\alpha)\) form is identified. The resulting family is of the form \[ f(x,y)\propto [1+\lambda_ 1x+\lambda_ 2y+\phi \lambda_ 1\lambda_ 2xy]^{-(\alpha +1)} \] for suitable choices of \(\lambda_ 1\), \(\lambda_ 2\) and \(\phi\).
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Distributed conditional computation

2014
L'objectif de cette thèse est de présenter différentes applications du programme de recherche de calcul conditionnel distribué. On espère que ces applications, ainsi que la théorie présentée ici, mènera à une solution générale du problème d'intelligence artificielle, en particulier en ce qui a trait à la nécessité d'efficience.
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Conditional distributions

2021
Miltiadis C. Mavrakakis, Jeremy Penzer
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