Results 1 to 10 of about 3,859,005 (290)
Deformed Algebras and Generalizations of Independence on Deformed Exponential Families
A deformed exponential family is a generalization of exponential families. Since the useful classes of power law tailed distributions are described by the deformed exponential families, they are important objects in the theory of complex systems.
Hiroshi Matsuzoe, Tatsuaki Wada
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In this article, we study and discuss a new family of distributions called the complementary geometric Topp–Leone generated family of distributions. Some statistical and mathematical properties of the complementary geometric Topp–Leone generated family ...
Mohammed Elgarhy +3 more
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Harmonic Exponential Families on Manifolds
In a range of fields including the geosciences, molecular biology, robotics and computer vision, one encounters problems that involve random variables on manifolds. Currently, there is a lack of flexible probabilistic models on manifolds that are fast and easy to train.
Cohen, T.S., Welling, M.
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A novel distribution family named the Transmuted Odd Moment Exponential-G (TOME-G) family is introduced, derived from both the Odd Moment Exponential-G and Transmuted families.
Naif Alotaibi
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Kernel Conditional Exponential Family
A nonparametric family of conditional distributions is introduced, which generalizes conditional exponential families using functional parameters in a suitable RKHS. An algorithm is provided for learning the generalized natural parameter, and consistency of the estimator is established in the well specified case.
Michael Arbel, Arthur Gretton
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Natural Gradient Flow in the Mixture Geometry of a Discrete Exponential Family
In this paper, we study Amari’s natural gradient flows of real functions defined on the densities belonging to an exponential family on a finite sample space.
Luigi Malagò, Giovanni Pistone
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Practical Network Modeling via Tapered Exponential-family Random Graph Models. [PDF]
Blackburn B, Handcock MS.
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A Hybrid Problem on the Exponential Family
It is frequently of interest to an investigator to decide whether an unknown parameter lies in some interval and also to obtain a point estimate of the parameter. There are many instances in practice where one does this by first testing a hypothesis and then estimating.
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Information Geometry of the Exponential Family of Distributions with Progressive Type-II Censoring. [PDF]
Zhang F, Shi X, Ng HKT.
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Discussion of "Exponential-family Embedding with Application to Cell Developmental Trajectories for Single-cell RNA-seq Data". [PDF]
Ji Z, Ji H.
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