CREST Working Papers Series No. 2017-82
by Mathieu Carrière, Marco Cuturi and Steve Oudot
Soft-DTW: a Differentiable Loss Function for Time-Series
CREST Working Papers Series No. 2017-81
by Marco Cuturi and Mathieu Blondel
Linear wavelet estimation of the derivatives of a regression function based on biased data
CREST Working Papers Series No. 2017-70
by Yogendra P. Chaubey, Christophe Chesneau and Fabien Navarro
A note on the adaptive estimation of the differential entropy by wavelet methods
CREST Working Papers Series No. 2017-69
by Christophe Chesneau, Fabien Navarro and Oana Silvia Serea
On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator
CREST Working Papers Series No. 2017-68
by Christophe Chesneau and Fabien Navarro
Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases
CREST Working Papers Series No. 2017-67
by Fabien Navarro and Adrien Saumard
Parametric estimation of hidden Markov models by least squares type estimation and deconvolution
CREST Working Papers Series No. 2017-66
by Christophe Chesneau, Salima El Kolei and Fabien Navarro