منابع مشابه
Finitely Dependent Coloring
We prove that proper coloring distinguishes between block-factors and finitely dependent stationary processes. A stochastic process is finitely dependent if variables at sufficiently wellseparated locations are independent; it is a block-factor if it can be expressed as a finite-range function of independent variables. The problem of finding non-block-factor finitely dependent processes dates b...
متن کاملInsertion and Deletion Tolerance of Point Processes
We develop a theory of insertion and deletion tolerance for point processes. A process is insertion-tolerant if adding a suitably chosen random point results in a point process that is absolutely continuous in law with respect to the original process. This condition and the related notion of deletion-tolerance are extensions of the so-called finite energy condition for discrete random processes...
متن کاملDependent Gaussian Processes
Gaussian processes are usually parameterised in terms of their covariance functions. However, this makes it difficult to deal with multiple outputs, because ensuring that the covariance matrix is positive definite is problematic. An alternative formulation is to treat Gaussian processes as white noise sources convolved with smoothing kernels, and to parameterise the kernel instead. Using this, ...
متن کاملDecision dependent stochastic processes
0377-2217/$ see front matter 2013 Elsevier B.V. All rights reserved. http://dx.doi.org/10.1016/j.ejor.2013.11.016 ⇑ Corresponding author. Tel.: +1 512 471 3322. E-mail addresses: [email protected] (T. Kirschenmann), elmira@mail. utexas.edu (E. Popova), [email protected] (P. Damien), hansont@ stat.sc.edu (T. Hanson). Thomas Kirschenmann , Elmira Popova , Paul Damien c,⇑, Tim H...
متن کاملLocation Dependent Dirichlet Processes
Dirichlet processes (DP) are widely applied in Bayesian nonparametric modeling. However, in their basic form they do not directly integrate dependency information among data arising from space and time. In this paper, we propose location dependent Dirichlet processes (LDDP) which incorporate nonparametric Gaussian processes in the DP modeling framework to model such dependencies. We develop the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronic Journal of Probability
سال: 2017
ISSN: 1083-6489
DOI: 10.1214/17-ejp35