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Multivariate and Online Transfer Learning With Uncertainty Quantification. [PDF]
Hickey J +3 more
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Mapping the dynamics of idiographic network models to the network theory of psychopathology. [PDF]
Hoekstra RHA +4 more
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Maximum-entropy and subspace methods for high-resolution relaxation-diffusion distribution estimation. [PDF]
Ning L.
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A Robust Association Test Leveraging Unknown Genetic Interactions: Application to Cystic Fibrosis Lung Disease. [PDF]
Kim S, Lin YC, Strug LJ.
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A hierarchical Bayesian inference model for volatile multivariate exponentially distributed signals. [PDF]
Zhu C +5 more
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Gamma-Generalized Inverse Gaussian Class of Distributions with Applications
Communications in Statistics - Theory and Methods, 2013n this article, a new family of probability distributions with domain in R+ is introduced. This class can be considered as a natural extension of the exponential-inverse Gaussian distribution in Bhattacharya and Kumar (1986) and Frangos and Karlis (2004).
Gómez Déniz, Emilio +2 more
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Computers in Biology and Medicine, 2007
Ultrasonic tissue characterization through composite probability distributions such as Nakagami-lognormal, Nakagami-gamma, Nakagami-inverse Gaussian has been found to be useful. Such a probabilistic description also depicts heavy tails which arise from multiple scattering in tissue besides local and global variations in scattering cross-sections. A new
Rajeev, Agrawal, , Karmeshu
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Ultrasonic tissue characterization through composite probability distributions such as Nakagami-lognormal, Nakagami-gamma, Nakagami-inverse Gaussian has been found to be useful. Such a probabilistic description also depicts heavy tails which arise from multiple scattering in tissue besides local and global variations in scattering cross-sections. A new
Rajeev, Agrawal, , Karmeshu
openaire +4 more sources

