Testing Probability Distributions using Conditional Samples [PDF]
SIAM Journal on Computing, 2015 We study a new framework for property testing of probability distributions, by considering distribution testing algorithms that have access to a conditional sampling oracle.* This is an oracle that takes as input a subset $S \subseteq [N]$ of the domain $
Clément L. Canonne +2 more
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Population coding of conditional probability distributions in dorsal premotor cortex [PDF]
Nature Communications, 2018 Abstract Our bodies and the environment constrain our movements. For example, when our arm is fully outstretched, we cannot extend it further. More generally, the distribution of possible movements is conditioned on the state of our bodies in the environment, which is constantly changing.
Joshua I. Glaser +4 more
semanticscholar +5 more sources
Optimal compromise between incompatible conditional probability distributions, with application to Objective Bayesian Kriging [PDF]
, 2018 Models are often defined through conditional rather than joint distributions, but it can be difficult to check whether the conditional distributions are compatible, i.e. whether there exists a joint probability distribution which generates them.
Joseph Muré
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Conditional Probabilities of Multivariate Poisson Distributions [PDF]
, 2012 Multivariate Poisson distributions have numerous applications. Fast computation of these distributions, holding constant a fixed set of linear combinations of these variables, has been explored by Sontag and Zeilberger. This elaborates on their work.
Michael C. Burkhart
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Modeling Conditional Probability Distributions for Periodic Variables [PDF]
Neural Computation, 1996 Most conventional techniques for estimating conditional probability densities are inappropriate for applications involving periodic variables. In this paper we introduce three related techniques for tackling such problems, and investigate their performance using synthetic data.
Bishop, Christopher M., Nabney, Ian T.
semanticscholar +7 more sources
Towards a Categorical Account of Conditional Probability [PDF]
Electronic Proceedings in Theoretical Computer Science, 2015 This paper presents a categorical account of conditional probability, covering both the classical and the quantum case. Classical conditional probabilities are expressed as a certain "triangle-fill-in" condition, connecting marginal and joint ...
Robert Furber, Bart Jacobs
doaj +4 more sources
Conditional constrained and unconstrained quantization for probability distributions [PDF]
, 2023 In this paper, we introduce and develop the concept of conditional quantization for Borel probability measures on $\mathbb{R}^k,$ considering both constrained and unconstrained frameworks. For each setting, we define the associated quantization errors, dimensions, and coefficients, and provide explicit computations for specific classes of probability ...
Megha Pandey, Mrinal Kanti Roychowdhury
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Conditional probability distributions of finite absorbing quantum walks [PDF]
Physical Review A, 2020 Quantum walks are known to have nontrivial interactions with absorbing boundaries. In particular it has been shown that an absorbing boundary in the one dimensional quantum walk partially reflects information, as observed by absorption probability computations.
Parker Kuklinski
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Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network
AAAI Conference on Artificial Intelligence, 2017 Visual sentiment analysis is raising more and more attention with the increasing tendency to express emotions through images. While most existing works assign a single dominant emotion to each image, we address the sentiment ambiguity by label ...
Jufeng Yang, Ming Sun, Xiaoxiao Sun
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ON A CHARACTERIZATION OF PROBABILITY DISTRIBUTIONS BY CONDITIONAL EXPECTATIONS [PDF]
Demonstratio Mathematica, 1988 Let X be a random variable with a differentiable disribution function F, let (a,b) denote the unique interval such that ...
Jerzy Pusz
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