Results 271 to 280 of about 1,089,540 (326)

Learning non-stationary conditional probability distributions

Neural Networks, 2000
While sophisticated neural networks and graphical models have been developed for predicting conditional probabilities in a non-stationary environment, major improvements in the training schemes are still required to make these approaches practically viable.
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Conditional distribution variability measures for causality detection

Cause Effect Pairs in Machine Learning, 2016
In this paper we derive variability measures for the conditional probability distributions of a pair of random variables, and we study its application in the inference of causal-effect relationships. We also study the combination of the proposed measures
José A. R. Fonollosa
semanticscholar   +1 more source

Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Nature Physics, 2019
With the improving sensitivity of the global network of gravitational-wave detectors, we expect to observe hundreds of transient gravitational-wave events per year.
H. Gabbard, C. Messenger, I. Heng, F. Tonolini, R. Murray-Smith   +4 more
semanticscholar   +1 more source

A New Moment Determinacy Condition for Probability Distributions

Theory of Probability & Its Applications
В этой статье мы предлагаем условие на вероятностное распределение, которое позволяет нам однозначно определить распределение по всем его моментам. Это условие применимо как к случаю Гамбургера (распределения на всей действительной прямой), так и к случаю Стилтьеса (распределения на положительной полупрямой).
Wei, Y., Zhang, R.
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Probability distribution and conditional averaging in turbulent flows

Fluid Dynamics, 1977
The results of an experimental investigation of the turbulence characteristics in the plane mixing layer and in the wake behind a cylinder are given. Measurements are made of the distribution of the velocity and temperature probabilities, the intermittency coefficient, and the conditionally averaged values of the square of the velocity and temperature ...
V. R. Kuznetsov, V. I. Rasshchupkin
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Towards Jointree Propagation with Conditional Probability Distributions

2004
In this paper, we suggest a novel approach to jointree computation. Unlike all previous jointree methods, we propose that jointree computation should use conditional probability distributions rather than potentials. One salient feature of this approach is that the exact form of the messages to be transmitted throughout the network can be identified a ...
Cory J. Butz, Hong Yao, Howard J. Hamilton   +2 more
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Conditional probability distributions of a turbulent cascade

2008
Statistical properties of a turbulent cascade are evaluated by considering the joint probability distribution p(v 1, L 1; v 2, L 2) for two velocity increments v 1, v 2 of different lenght scales L 1, L 2. We present experimental evidence that the conditional probability distribution p(v 2, L 2|v 1, L 1) obeys a Chapman-Kolmogorov equation. We evaluate
Rudolf Friedrich, Joachim Peinke
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Statistical models based on conditional probability distributions

Journal of Physics A: Mathematical and General, 1992
The author presents a formulation of statistical mechanics models based on conditional probability distributions rather than a Hamiltonian. Closely linked with this formulation is a Monte Carlo algorithm, in which a configuration generated is guaranteed to be statistically independent of any other configuration for all values of the parameters, in ...
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Uniform conditional variability ordering of probability distributions

Journal of Applied Probability, 1985
Variability orderings indicate that one probability distribution is more spread out or dispersed than another. Here variability orderings are considered that are preserved under conditioning on a common subset. One density f on the real line is said to be less than or equal to another, g, in uniform conditional variability order (UCVO) if the ratio f(x)
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Conditional expectations, conditional distributions, anda posteriori ensembles in generalized probability theory

International Journal of Theoretical Physics, 1988
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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