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Section: Software
aam Program
Participant : Serge Iovleff.
aam is a console based program dedicated to the estimation of the semi-linear auto-associative models in a gaussian setting. It is written in C++ and used the STK++ library as support.
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
- Model for conditionally correlated categorical data
- Model-based clustering for multivariate partial ranking data
- A new probability distribution for ordinal data
- Clustering and variable selection in regression
- Mixture of Gaussians with Missing Data
- Transfer learning in model-based clustering
- Gaussian Models Scale Invariant and Stable by Projection
- Decorrelating variables in high dimension for linear regression
- Model-based clustering for multivariate functional data
- A method to combine combinatorial optimization and statistics to mine high-throughput genotyping data
- Wavelet based clustering using mixed effects functional models
- Comparison of normalisation procedures in RNA-sequencing before differential analysis
- Change point detection algorithm
- Cross validation algorithms
- Stochastic Block Model
- Approximations for scan statistics.
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
- Model for conditionally correlated categorical data
- Model-based clustering for multivariate partial ranking data
- A new probability distribution for ordinal data
- Clustering and variable selection in regression
- Mixture of Gaussians with Missing Data
- Transfer learning in model-based clustering
- Gaussian Models Scale Invariant and Stable by Projection
- Decorrelating variables in high dimension for linear regression
- Model-based clustering for multivariate functional data
- A method to combine combinatorial optimization and statistics to mine high-throughput genotyping data
- Wavelet based clustering using mixed effects functional models
- Comparison of normalisation procedures in RNA-sequencing before differential analysis
- Change point detection algorithm
- Cross validation algorithms
- Stochastic Block Model
- Approximations for scan statistics.
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography