Results 21 to 30 of about 30,138 (98)

Driving Markov chain Monte Carlo with a dependent random stream [PDF]

open access: yes, 2012
Markov chain Monte Carlo is a widely-used technique for generating a dependent sequence of samples from complex distributions. Conventionally, these methods require a source of independent random variates.
Elliott, Lloyd T., Murray, Iain
core  

Secure Cascade Channel Synthesis

open access: yes, 2013
We investigate channel synthesis in a cascade setting where nature provides an iid sequence $X^n$ at node 1. Node 1 can send a message at rate $R_1$ to node 2 and node 2 can send a message at rate $R_2$ to node 3.
Cuff, Paul, Satpathy, Sanket
core   +1 more source

Reversible jump Markov chain Monte Carlo

open access: yes, 2010
To appear to MCMC handbook, S. P. Brooks, A. Gelman, G. Jones and X.-L.
Fan, Y, Sisson, S A
core  

A supersolutions perspective on hypercontractivity [PDF]

open access: yes, 2019
The purpose of this article is to expose an algebraic closure property of supersolutions to certain diffusion equations. This closure property quickly gives rise to a monotone quantity which generates a hypercontractivity inequality.
Aoki, Yosuke   +5 more
core   +1 more source

Reversibility and further properties of FCFS infinite bipartite matching

open access: yes, 2017
The model of FCFS infinite bipartite matching was introduced in caldentey-kaplan-weiss 2009. In this model there is a sequence of items that are chosen i.i.d.
Adan, Ivo   +3 more
core   +2 more sources

Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net

open access: yes, 2017
We propose a novel method to directly learn a stochastic transition operator whose repeated application provides generated samples. Traditional undirected graphical models approach this problem indirectly by learning a Markov chain model whose stationary
Bengio, Yoshua   +3 more
core  

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