Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data
Burning MCMC iterations from a Dirichlet Process Mixture Model.
Point estimate of the partition for the Binder loss function
Point estimate of the partition using the F-measure as the cost functi...
Point estimate of the partition using a modified Binder loss function
Gets a point estimate of the partition using posterior expected adjust...
Scatterplot of flow cytometry data
Slice Sampling of the Dirichlet Process Mixture Model with a prior on ...
Slice Sampling of the Dirichlet Process Mixture Model with a prior on ...
Slice Sampling of Dirichlet Process Mixture of Gaussian distributions
Slice Sampling of Dirichlet Process Mixture of skew normal distributio...
Parallel Implementation of Slice Sampling of Dirichlet Process Mixture...
Slice Sampling of Dirichlet Process Mixture of skew Student's t-distri...
Slice Sampling of Dirichlet Process Mixture of skew Student's t-distri...
Slice Sampling of Dirichlet Process Mixture of skew Student's t-distri...
Slice Sampling of Dirichlet Process Mixture of skew Student's t-distri...
Posterior estimation for Dirichlet process mixture of multivariate (po...
ELoss of a partition point estimate compared to a gold standard
Compute a limited F-measure
Multiple cost computations with the F-measure as the loss function
C++ implementation of the F-measure computation
C++ implementation of the F-measure computation without the reference ...
Sample from a inverse-Wishart distribution
Multivariate log gamma function
EM MAP for mixture of sNiW
Methods for a summary of a DPMMclust object
MLE for Gamma distribution
EM MLE for mixture of NiW
MLE for sNiW distributed observations
EM MLE for mixture of sNiW
multivariate Normal inverse Wishart probability density function for m...
C++ implementation of multivariate Normal inverse Wishart probability ...
Probability density function of multiple structured Normal inverse Wis...
C++ implementation of multivariate structured Normal inverse Wishart p...
C++ implementation of multivariate Normal probability density function...
C++ implementation of multivariate skew Normal probability density fun...
C++ implementation of multivariate Normal probability density function...
C++ implementation of multivariate Normal probability density function...
C++ implementation of multivariate Normal probability density function...
multivariate-Normal probability density function
C++ implementation of multivariate normal probability density function...
C++ implementation of multivariate skew normal likelihood function for...
multivariate Skew-Normal probability density function
C++ implementation of multivariate skew t likelihood function for mult...
multivariate skew-t probability density function
multivariate Student's t-distribution probability density function
Bayesian Nonparametrics for Automatic Gating of Flow Cytometry data
C++ implementation of similarity matrix computation using pre-computed...
Convergence diagnostic plots
Plot of a Dirichlet process mixture of gaussian distribution partition
Plot of a Dirichlet process mixture of skew normal distribution partit...
Plot of a Dirichlet process mixture of skew t-distribution partition
Post-processing Dirichlet Process Mixture Models results to get a mixt...
Construction of an Empirical based prior
Generating cluster data from the Chinese Restaurant Process
Sample from a Normal inverse-Wishart distribution whose parameter are ...
Sample from a normal inverse Wishart distribution whose parameter are ...
Sampler for the concentration parameter of a Dirichlet process
C++ implementation of the multinomial sampling from a matrix of column...
Computes the co-clustering (or similarity) matrix
C++ implementation
C++ implementation
Summarizing Dirichlet Process Mixture Models
C++ implementation of residual trace computation step used when sampli...
Return updated sufficient statistics S with new data matrix z
Return updated sufficient statistics S with new data matrix z
Return updated sufficient statistics S for skew t-distribution with da...
C++ implementation
Sample from a Wishart distribution
Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions modeling oriented towards flow-cytometry data preprocessing applications. Method is detailed in: Hejblum, Alkhassimn, Gottardo, Caron & Thiebaut (2019) <doi: 10.1214/18-AOAS1209>.