Adaptive Gaussian inverse regression with partially unknown operator

Adaptive goodness-of-fit tests based on signed ranks

Adaptive Hausdorff estimation of density level sets

Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling

Adaptive LASSO-type estimation for ergodic diffusion processes

Adaptive Minimax Estimation over Sparse $\ell_q$-Hulls

Adaptive multiscale detection of filamentary structures in a background of uniform random points

Adaptive non-asymptotic confidence balls in density estimation

Adaptive nonparametric confidence sets

Adaptive nonparametric estimation in heteroscedastic regression models. Part 1: Sharp non-asymptotic Oracle inequalities

Adaptive nonparametric estimation in heteroscedastic regression models. Part 2: Asymptotic efficiency

Adaptive Nonparametric Regression on Spin Fiber Bundles

Adaptive Optimal Nonparametric Regression and Density Estimation Based on Fourier-Legendre Expansion

Adaptive Optimal Signal (Cardiogram) Processing, with boundary values and energy precisely measurement

Adaptive procedures in convolution models with known or partially known noise distribution

Adaptive semiparametric wavelet estimator and goodness-of-fit test for long memory linear processes

Adaptive Semisupervised Inference

Adaptive sequential estimation for ergodic diffusion processes in quadratic metric. Part 2: Asymptotic efficiency

Adaptive spectral regularizations of high dimensional linear models

Adaptive tests of homogeneity for a Poisson process