Results 1 to 10 of about 121,868 (329)
Smoothed Dirichlet Distribution
When the cells are ordinal in the multinomial distribution, i.e., when cells have a natural ordering, guaranteeing that the borrowing information among neighboring cells makes sense conceptually.
Lahiru Wickramasinghe +2 more
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A truncated bivariate inverted Dirichlet distribution
A truncated version of the bivariate inverted dirichlet distribution is introduced. Unlike the inverted dirichlet distribution, this possesses finite moments of all orders and could therefore be a better model for certain practical situations.
Saralees Nadarajah
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A new statistical method to analyze Morris Water Maze data using Dirichlet distribution [version 2; peer review: 2 approved] [PDF]
The Morris Water Maze (MWM) is a behavioral test widely used in the field of neuroscience to evaluate spatial learning memory of rodents. However, the interpretation of results is often impaired by the common use of statistical tests based on ...
Marianne Maugard +2 more
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BMDD: A probabilistic framework for accurate imputation of zero-inflated microbiome sequencing data. [PDF]
Microbiome sequencing data are inherently sparse and compositional, with excessive zeros arising from biological absence or insufficient sampling. These zeros pose significant challenges for downstream analyses, particularly those that require log ...
Huijuan Zhou, Jun Chen, Xianyang Zhang
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A Generalization of the Dirichlet Distribution
This paper discusses a generalization of the Dirichlet distribution, the ‘hyperdirichlet’, in which various types of incomplete observations may be incorporated.
Robin K. S. Hankin
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Enhancing trust in machines integration with Dirichlet distribution and self-sovereign identity
In critical IoT ecosystems, where autonomous devices operate without human oversight, security hinges on robust identity management as the foundation of authentication.
Joel Herve Mboussam Emati +2 more
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Assessing Multinomial Distributions with a Bayesian Approach
This paper introduces a unified Bayesian approach for testing various hypotheses related to multinomial distributions. The method calculates the Kullback–Leibler divergence between two specified multinomial distributions, followed by comparing the change
Luai Al-Labadi +3 more
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Compositional Data Modeling through Dirichlet Innovations
The Dirichlet distribution is a well-known candidate in modeling compositional data sets. However, in the presence of outliers, the Dirichlet distribution fails to model such data sets, making other model extensions necessary.
Seitebaleng Makgai +2 more
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Parameter Estimation of the Dirichlet Distribution Based on Entropy
The Dirichlet distribution as a multivariate generalization of the beta distribution is especially important for modeling categorical distributions. Hence, its applications vary within a wide range from modeling cell probabilities of contingency tables ...
Büşra Şahin +4 more
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Some recent advances in random walks and random environments* [PDF]
Recent contributions to random walks in random environments and related topics are presented. We focus on non parametric estimation for one dimensional random walks in random environment and on the Dirichlet distribution on decomposable graphs.
Devulder Alexis +2 more
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