Results 71 to 80 of about 119 (106)
Recent sufficient dimension reduction methodologies in multivariate regression do not have direct application to a categorical predictor. For this, we define the multivariate central partial mean subspace and propose two methodologies to estimate it. The
Yoo, Jae Keun
core
A bivariate Lévy process with negative binomial and gamma marginals
The joint distribution of X and N, where N has a geometric distribution and X is the sum of N IID exponential variables (independent of N), is infinitely divisible.
Kozubowski, Tomasz J. +2 more
core
Regression models for multivariate ordered responses via the Plackett distribution
We investigate the properties of a class of discrete multivariate distributions whose univariate marginals have ordered categories, all the bivariate marginals, like in the Plackett distribution, have log-odds ratios which do not depend on cut points and
Dardanoni, V., Forcina, A.
core
It is well known that full knowledge of all conditional distributions will typically serve to completely characterize a bivariate distribution. Partial knowledge will often suffice.
Sarabia, José María +2 more
core
A family of kurtosis orderings for multivariate distributions
In this paper, a family of kurtosis orderings for multivariate distributions is proposed and studied. Each ordering characterizes in an affine invariant sense the movement of probability mass from the "shoulders" of a distribution to either the center or
Wang, Jin
core
Multivariate Extreme Value Theory - A Tutorial with Applications to Hydrology and Meteorology
Dependence Modeling, 2014 Dutfoy Anne, Parey Sylvie, Roche Nicolas
doaj +1 more source
Quadratic prediction problems in multivariate linear models
Linear and quadratic prediction problems in finite populations have become of great interest to many authors recently. In the present paper, we mainly aim to extend the problem of quadratic prediction from a general linear model, of form , to a ...
Liu, Xu-Qing +2 more
core
Canonical representation of conditionally specified multivariate discrete distributions
Most work on conditionally specified distributions has focused on approaches that operate on the probability space, and the constraints on the probability space often make the study of their properties challenging.
Wang, Yuchung J., Ip, Edward H.
core
Linear Wavelet-Based Estimators of Partial Derivatives of Multivariate Density Function for Stationary and Ergodic Continuous Time Processes. [PDF]
Entropy (Basel)Didi S, Bouzebda S.
europepmc +1 more source