Project-Team:CQFD

Project-Team Cqfd

Members

Overall Objectives

Presentation
Highlights of the Year

Research Program

Introduction
Main research topics

Application Domains

Dependability and safety

Software and Platforms

Package edrGraphicalTools
Package ClustOfVar
Package PCAmixdata

New Results

Nonparametric estimation of the jump rate for non-homogeneous marked renewal processes.
Nonparametric estimation of the conditional distribution of the inter-jumping times for piecewise-deterministic markov processes
Finite Linear Programming Approximations of constrained discounted Markov decision processes
Stochastic Approximations of Constrained Discounted Markov Decision Processes
The expected total cost criterion for Markov decision processes under constraints
Optimal stopping for piecewise-deterministic Markov processes and applications
Stochastic control for underwater optimal trajectories
Modeling of cell division data
Numerical method for the filtering of Markov jump linear systems
Optimization of the assembly line of the future European launcher
A variable clustering approach for the typology of units: a survey on farming and environment
Multiple Facctorial Analysis for mixed data type
Detecting mental states of alertness with genetic algorithm variable selection
ClustOfVar : an R package for dimension reduction via clustering of variables. Application in supervised classification and variable selection in gene expressions data
A sliced inverse regression approach for data stream
Comparison of Kernel Density Estimators with Assumption on Number of Modes
Comparison of Kernel Density Estimators with Assumption on Number of Modes
Comparison of sliced inverse regression approaches for underdetermined cases
Conditional Quantile Estimationthrough Optimal Quantization
Estimation of water consumption based on survey techniques using an automatic meter reading sample
Hidden Markov Model for the detection of a degraded operating mode of optronic equipment
A new sliced inverse regression method for multivariate response
An introduction to dimension reduction in nonparametric kernel regression

Bilateral Contracts and Grants with Industry

Astrium
DCNS
Thales Optronique

Partnerships and Cooperations

Regional Initiatives
National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Scientific Animation
Teaching - Supervision - Juries
Popularization

Bibliography

Major publications
Publications of the year
References in notes

Inria | Raweb 2013 | Presentation of the Project-Team CQFD


	PDF	e-Pub

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Section: Software and Platforms

Package edrGraphicalTools

This R package gives graphical tools for selecting the number of slices and the dimension of the model in SIR and SAVE approaches. It also provides the estimation of the reduction dimension subspace and the non parametric estimation of the link function using smoothing techniques. The package is available via the link http://cran.r-project.org/web/packages/edrGraphicalTools/index.html .

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