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Joint probability and conditional distribution of twin beams

2003 European Quantum Electronics Conference. EQEC 2003 (IEEE Cat No.03TH8665), 2003
Joint probability and conditional distribution of twin beams generated by an optical parametric oscillator is reported. We select the photon number fluctuation (intensity fluctuation) as our measured variable. In direct detection with a photodetector, given the high detection efficiency, the photocurrent fluctuation is corresponding to the photon ...
null Yun Zhang, null Katsuyuki Kasai
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Joint probability distribution of composite quantum systems

International Journal of Theoretical Physics, 1987
We determine the joint probability distribution for two observables attached to two systems in weak interaction, by minimizing the entropic measure of interdependence subject to constraints given by marginal expected values and by the correlation coefficient between the two observables.
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Joint probability distributions for disordered 1D wires

Journal of Physics: Condensed Matter, 1992
The scattering of a one-dimensional disordered wire consisting of elastic, time-reversal-invariant scatterers, is specified completely by the transmission intensity T, reflection phase phi r and transmission phase phi t. The problem of extracting the joint distribution p1 to Lz(T, phi r, phi t) of these variables for a system of large length Lz, given ...
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Mapping disease risk using a joint probability distribution

Mathematics and Computers in Simulation, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hollinger, Steven E., Kuchar, Leszek
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Joint Probability Distributions in Quantum Mechanics

1973
The notion and methods of calculating probabilities in quantum mechanics is strikingly different from classical mechanics and standard probability theory. Quantum mechanics manipulates mysteriously, from a classical probabilistic point of view, complex functions and operators to nevertheless end up with observable quantities which are interpreted as if
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Joint Probability Density Distributions in a Turbulent Flow

1968
Often in order to resolve the mathematical formulation of a physical problem there is a need for further simplifications or assumptions, and not too seldom such simplifications may obscure the essential physical behavior. The statistical theory of turbulence is particularly vulnerable to such pitfalls.
François N. Frenkiel   +1 more
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The method of joint probability distributions

1998
Abstract The joint probability distribution of a set of n normalized structure factors was first introduced by Hauptman and Karie (1953b) and was developed further by several authors (e.g. Bertaut 1955a, b, 1960a, b; Klug 1958; Naya et al. 1964, 1965; Vaughan 1959). The importance of their work lies in the introduction of the idea that a
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Joint Probability Distributions and Their Applications

2021
Jay L. Devore   +2 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Fast Online Estimation of the Joint Probability Distribution

2008
In this paper we propose an algorithm for the on-line maintenance of the joint probability distribution of a data stream. The joint probability distribution is modeled by a mixture of low dependence Bayesian networks, and maintained by an on-line EM-algorithm.
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