S. Huet

发表

C. Giraud, N. Verzelen, S. Huet, 2009, Statistical applications in genetics and molecular biology.

Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression function

B. Laurent, Y. Baraud, S. Huet, 2005, math/0504509.

ADAPTIVE TESTS OF LINEAR HYPOTHESES BY MODEL SELECTION

B. Laurent, Y. Baraud, S. Huet, 2003 .

Statistics for proteomics: experimental design and 2-DE differential analysis.

F. Villers, S. Huet, J. Chich, 2007, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

Risk upper bounds for RKHS ridge group sparse estimator in the regression model with non-Gaussian and non-bounded error

S. Huet, Marie-Luce Taupin, Halaleh Kamari, 2020, 2009.11646.

Estimator selection in the Gaussian setting

Y. Baraud, C. Giraud, S. Huet, 2010, 1007.2096.

Estimator selection in the Gaussian setting

Sylvie Huet, Christophe Giraud, Yannick Baraud, 2010, 1007.2096.

Better Bootstrap Confidence Intervals for Regression Curve Estimation

Wolfgang Härdle, Sylvie Huet, W. Härdle, 1995 .

BOOTSTRAP INFERENCE IN SEMIPARAMETRIC GENERALIZED ADDITIVE MODELS

Wolfgang Härdle, Sylvie Huet, Stefan Sperlich, 2004, Econometric Theory.

Metamodel Construction for Sensitivity Analysis

S. Huet, Marie-Luce Taupin, 2017, 1701.04671.

Nonparametric species richness estimation under convexity constraint

S. Huet, S. Robin, C. Durot, 2014, 1404.4830.

Estimation of a convex discrete distribution

S. Huet, S. Robin, C. Durot, 2012, 1202.6263.

Semiparametric additive indices for binary response and generalized additive models

E. Mammen, W. Härdle, S. Huet, 1998 .

Whole-genome prediction of reaction norms to environmental stress in bread wheat (Triticum aestivum L.) by genomic random regression

S. Huet, J. Jannink, G. Charmet, 2018 .

Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection

K. Chenu, S. Huet, P. Martre, 2017 .

Assessing the Validity Domains of Graphical Gaussian Models in Order to Infer Relationships among Components of Complex Biological Systems

Sylvie Huet, Fanny Villers, Brigitte Schaeffer, 2008, Statistical applications in genetics and molecular biology.

Hybridization within Saccharomyces Genus Results in Homoeostasis and Phenotypic Novelty in Winemaking Conditions

C. Giraud, S. Huet, C. Dillmann, 2015, PloS one.

Yeast proteome variations reveal different adaptive responses to grape must fermentation.

C. Giraud, S. Huet, C. Dillmann, 2013, Molecular biology and evolution.

Gaussian model selection with an unknown variance

Sylvie Huet, Christophe Giraud, Yannick Baraud, 2007, math/0701250.

GAUSSIAN MODEL SELECTION WITH AN UNKNOWN VARIANCE BY YANNICK BARAUD, CHRISTOPHE GIRAUD

C. Giraud, S. Huet, 2009 .

Model selection for estimating the non zero components of a Gaussian vector

Sylvie Huet, S. Huet, 2006 .

High-dimensional regression with unknown variance

Sylvie Huet, Christophe Giraud, Nicolas Verzelen, 2011, 1109.5587.

Statistical tools for nonlinear regression : a practical guide with S-PLUS examples

Sylvie Huet, Annie Bouvier, Marie-Anne Gruet, 1997 .

PrBn, a major gene controlling homeologous pairing in oilseed rape (Brassica napus) haploids.

S. Huet, H. Monod, A. Chèvre, 2003, Genetics.

Where do the feral oilseed rape populations come from? A large‐scale study of their possible origin in a farmland area

Sylvie Huet, Claire Lavigne, Pierre-Henri Gouyon, 2008 .

Maximum Likelihood Estimation in Survival Analysis with Grouped Data on Censored Individuals and Continuous Data on Failures

S. Huet, A. Kaddour, A. Kaddour, 1994 .

DOSSTAT: a conversational program for statistical analysis of radioimmunoassays.

S Huet, S. Huet, 1984, Computer programs in biomedicine.

Quantification of Quercus petraea Liebl. forking based on a 23-year-long longitudinal survey

S. Huet, M. Fortin, F. Colin, 2012 .

Including shared peptides for estimating protein abundances: A significant improvement for quantitative proteomics

Sylvie Huet, Michel Zivy, Christophe Giraud, 2012, Proteomics.

Bootstrap Confidence Intervals In Nonlinear Regression Models When The Number of Observations is Fixed and The Variance Tends To 0. Application To Biadditive Models

S. Huet, J. Denis, K. Adamczyk, 1999 .

RKHSMetaMod : An R package to estimate the Hoeffding decomposition of an unknown function by solving RKHS Ridge Group Sparse optimization problem pdf

Marie-Luce Taupin, Sylvie Huet, Halaleh Kamari, 2019, ArXiv.

Methodology for choosing a model for wheat kernel growth

S. Huet, A. Bouvier, C. Hennequet, 1999 .

The Spatial Distribution of Mustelidae in France

C. Giraud, R. Julliard, P. Monestiez, 2015, PloS one.

Goodness-of-fit test for Gaussian regression with block correlated errors

E. Kuhn, S. Huet, 2015 .

Maximum likelihood and least squares estimators for a non-linear model with heterogeneous variances

S. Huet, 1986 .

Testing k-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population

J. Giguelay, S. Huet, S. Huet, 2017, Comput. Stat. Data Anal..

Seed Spillage from Grain Trailers on Road Verges during Oilseed Rape Harvest: An Experimental Survey

Sylvie Huet, Antoine Gardarin, Sébastien Ollier, 2012, PloS one.

Graph Selection with GGMselect

C. Giraud, N. Verzelen, S. Huet, 2009, Statistical Applications in Genetics and Molecular Biology.

GGMselect: R package for estimating Gaussian graphical models

C. Giraud, N. Verzelen, S. Huet, 2009 .

RKHSMetaMod: An R Package to Estimate the Hoeffding Decomposition of a Complex Model by Solving RKHS Ridge Group Sparse Optimization Problem

S. Huet, Marie-Luce Taupin, Halaleh Kamari, 2019, R J..

Adaptive tests of qualitative hypotheses

B. Laurent, Y. Baraud, S. Huet, 2003 .

Yeast proteome variations reveal different adaptive responses to grape must fermentation.

C. Giraud, S. Huet, C. Dillmann, 2013, Molecular biology and evolution.