A cost based reweighed scheme of Principal Support Vector Machine -- Power assessment of a new test of independence -- Empirical -- Divergence Minimizers for Hadamard Differentiable Functionals -- Advances in permutation tests for covariates in a mixture model for preference data analysis -- Semiparametric generalized estimating equations in misspecified models -- Local Covariance Estimation using Costationarity -- Stable Non-parametric Signal Filtration in Nonlinear Models -- Block bootstrap for the autocovariance coefficients of periodically correlated time series -- Bootstrapping Realized Bipower Variation -- Multiple testing approaches for removing background noise from images -- Peak-Load Forecasting using a Functional Semi-Parametric Approach -- An open problem on strongly consistent learning of the best prediction for Gaussian processes -- Testing for equality of an increasing number of spectral density functions -- Multiscale local polynomial models for estimation and testing -- Distributions of Clusters of Exceedances and Their Applications in Telecommunication Networks -- Diagnostic procedures for spherically symmetric distributions -- A nonparametric causality test: Detection of direct causal effects in multivariate systems using Corrected Partial Transfer Entropy -- A high performance biomarker detection method for exhaled breath mass spectrometry data -- Local polynomials for variable selection -- On the CLT on Low Dimensional Stratified Spaces- Kernel Density Outlier Detector -- Model Selection for Classification with a Large Number of Classes.-Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors -- Bootstrap confidence intervals in nonparametric regression without an additive model -- Heteroskedastic linear regression: steps towards adaptivity, efficiency, and robustness- Level Set Estimation -- Nonparametric Permutation-Based Control Charts for Ordinal Data -- The latest advances on the Hill estimator and its modifications -- Multivariate Stochastic Volatility Estimation Using Particle Filters -- Guaranteed Estimation of Logarithmic Density Derivative by Dependent Observations -- Nonparametric Statistics and High/Infinite Dimensional Data.