GitHub topics: finite-mixture
Beliavsky/Moment-Matching-Mixtures
Find mixtures of normal distributions that match moments subject to constraints
Language: Python - Size: 12.7 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
Beliavsky/Mixture-of-Normals-Estimation
Estimate a univariate mixture of normals distribution using moments and the EM algorithm
Language: Python - Size: 0 Bytes - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
pletschm/aldvmm
The goal of ‘aldvmm’ is to fit adjusted limited dependent variable mixture models of health state utilities in R. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package ‘aldvmm’ uses the likelihood and expected value functions proposed by Hernandez Alava and Wailoo (2015) using normal component distributions and a multinomial logit model of probabilities of component membership.
Language: HTML - Size: 91.1 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
junlulocky/PyBGMM
Bayesian inference for Gaussian mixture model with some novel algorithms
Language: Python - Size: 937 KB - Last synced at: 11 days ago - Pushed at: almost 7 years ago - Stars: 54 - Forks: 16
Beliavsky/NormalMix1D
Fit a univariate mixture of normals to simulated data using the EM algorithm
Language: Python - Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
ozancicek/artan
Online latent state estimation with Spark
Language: Scala - Size: 553 KB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 2
matteocereda/GSECA
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
Language: R - Size: 56.4 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1
