Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA) [PDF]
IEEE International Joint Conference on Neural Network, 2019 Maximum mean discrepancy (MMD) has been widely adopted in domain adaptation to measure the discrepancy between the source and target domain distributions.
Wen Zhang, Dongrui Wu
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Water Science and Engineering, 2013 The joint probability distribution of wind speed and significant wave height in the Bohai Bay was investigated by comparing the Gumbel logistic model, the Gumbel-Hougaard (GH) copula function, and the Clayton copula function.
Xiao-chen Yang, Qing-he Zhang
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Characterizing a Joint Probability Distribution by Conditionals
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1993 SUMMARY We derive conditions under which a set of conditional and marginal probability distributions will uniquely specify an all-positive joint distribution. Our theoretical result may yield insights into the construction and simulation of multivariate probability models.
Gelman, Andrew, Speed, T. P.
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Assessment of wind-induced fatigue life for transmission tower-line systems incorporating joint probability distribution of wind speed and direction. [PDF]
Sci RepWu S, Liu H, Zhang J, You Y.
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Idealized Models of the Joint Probability Distribution of Wind Speeds
, 2017 . The joint probability distribution of wind speeds at two separate locations in space or points in time completely characterizes the statistical dependence of these two quantities, providing more information than linear measures such as correlation.
Adam H. Monahan
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Corrigendum: Characterizing a Joint Probability Distribution by Conditionals [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1999 With regard to the theorem in the paper, the second part is, in general, false, and the proof, given in Section 4.2, is in error. Dr K. W. Ng and Professor A. P. Dawid have pointed out the following simple counter-example for two binary random variables x,, x2: P(0, 0) = 0.3, P(0, 1) = 0.2, P(1, 0) = 0.2 and P(1, 1) = 0.3.
A. Gelman, T. P. Speed
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Joint Probability Distribution of Prediction Errors of ARIMA [PDF]
, 2018 Revised notations, 16 ...
Xin Qin, Jyotirmoy V. Deshmukh
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Optical homodyne detection in view of the joint probability distribution [PDF]
Physical Review A, 2010 Optical homodyne detection is examined in view of joint probability distribution. It is usually discussed that the relative phase between independent laser fields are localized by photon-number measurements in interference experiments such as homodyne detection.
Kawakubo, Toru, Yamamoto, Katsuji
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Estimating the Joint Probability Distribution of Random Vertices and Arcs by Means of Second-Order Random Graphs [PDF]
SSPR/SPR, 2002 Francesc Serratosa +2 more
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Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields [PDF]
ISMRM Annual Meeting, 2022 MRI and PET are important modalities and can provide complementary information for the diagnosis of brain diseases because MRI can provide structural information of brain and PET can obtain functional information of brain. However, PET is usually missing.
Taofeng Xie +10 more
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