A Robbins-Monro procedure for estimation in semiparametric regression models
A robust method for cluster analysis
A scale-based approach to finding effective dimensionality in manifold learning
A selective overview of nonparametric methods in financial econometrics
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
A self-similar process arising from a random walk with random environment in random scenery
A semiparametric efficient estimator in case-control studies
A semiparametric model for cluster data
A set theoretic framework for enumerating matches in surveys and its application to reducing inaccuracies in vehicle roadside surveys
A Shannon-Tsallis transformation
A sharp analysis on the asymptotic behavior of the Durbin-Watson statistic for the first-order autoregressive process
A sharpening of Tusnády's inequality
A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data
A simple adaptive estimator of the integrated square of a density
A simple randomized algorithm for sequential prediction of ergodic time series
A Simple Sample Size Formula for Estimating Means of Poisson Random Variables
A simple smooth backfitting method for additive models
A simple variance inequality for U-statistics of a Markov chain with applications
A Sliding Blocks Estimator for the Extremal Index
A Small Sample Correction for Estimating Attributable Risk in Case-Control Studies