Network inference by fusing data from diverse distributions
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Updated
Nov 25, 2016 - Python
Network inference by fusing data from diverse distributions
A package to handle Exponential Family distributions
Implementation of Collective Matrix Completion by Mokhtar Z. Alaya and Olga Klopp https://arxiv.org/abs/1807.09010
Computational Studies for the article entitled "Splitting Models for Multivariate Count Data"
Implementation of Percolate, an exponential family JIVE statistical model for multi-view integration
Generaliser linear models -The theory for linear normal models is looked at and applied to regression and analysis of variance. Furthermore the topics of binary variables logistic regression, log-linear models, contingency tables and life time analysis are treated.
Code accompanying our papers on the "Generative Distributional Control" framework
KFAS: R Package for Exponential Family State Space Models
barry: Your go-to motif accountant
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians
Rayleigh distribution quantile function.
Natural logarithm of the probability density function (PDF) for a Pareto (Type I) distribution.
Laplace distribution differential entropy.
Binomial distribution standard deviation.
Binomial distribution mode.
Laplace distribution logarithm of cumulative distribution function (CDF).
Laplace distribution quantile function.
Laplace distribution logarithm of probability density function (PDF).
Weibull distribution quantile function.
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