Maximally uniform sequences from stochastic processes Miller Puckette University of California, San Diego Abstract

First Page		Document Content
Date: 2016-07-05 13:31:02 Probability theory Probability distribution Probability space Bernoulli process Random variable Experiment Randomness Independent and identically distributed random variables Markov chain Event Conditional probability Stochastic simulation		Maximally uniform sequences from stochastic processes Miller Puckette University of California, San Diego Abstract Add to Reading List Source URL: msp.ucsd.edu Download Document from Source Website File Size: 70,95 KB Share Document on Facebook

	Maximally uniform sequences from stochastic processes Miller Puckette University of California, San Diego Abstract DocID: 1ozCJ - View Document
	Volume 41 • Issue 1 IMS Bulletin January/February 2012 DocID: 1oyAc - View Document
	An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process Amar Shah ? David A. Knowles † Zoubin Ghahramani ? DocID: 1o368 - View Document
	Bernoulli 20(4), 2014, 1999–2019 DOI: BEJ548 Optimal filtering and the dual process O M I RO S PA PA S P I L I O P O U L O S 1 and M AT T E O RU G G I E RO 2 1 ICREA & Department of Economics and Business, U DocID: 1nItv - View Document
	Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines Roni Mittelman, Honglak Lee, Benjamin Kuipers, Silvio Savarese Department of Electrical Engineering and Computer DocID: 1dG2a - View Document