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Name: MaStatLab
Type: Organization
Name: MaStatLab
Type: Organization
Bayesian Graphical Compositional Regression
This folder contains the code and data used to perform the simulation studies and the applications for BGCR.
Coarsened Mixtures of Hierarchical Skew Kernels
Raw Data for Flowcytometry Example
Closely Related Mixture Distributions
Dirichlet-tree Multinomial Mixtures
Fisher exact scanning
R/C++ implementation of Hierarchical Adaptive Polya Trees
Scalable Bayesian model averaging through local information propagation
Markov adaptive Polya trees
Mixtures of Perturbed Kernels
Mixtures of Perturbed and Skewed Kernels
Multi-resolution scanning for cross-sample variation
MultiFIT: Multivariate Multiscale Framework for Independence Tests
R package for Polya tree type models
Recursive mixtures for conditional association testing
Wavelets with adaptive recursive partitioning
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
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