J
Jon A. Wellner
Researcher at University of Washington
Publications - 230
Citations - 23601
Jon A. Wellner is an academic researcher from University of Washington. The author has contributed to research in topics: Estimator & Asymptotic distribution. The author has an hindex of 51, co-authored 229 publications receiving 22485 citations. Previous affiliations of Jon A. Wellner include University of Rochester & Saint Petersburg State University.
Papers
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Book
Weak Convergence and Empirical Processes: With Applications to Statistics
TL;DR: In this article, the authors define the Ball Sigma-Field and Measurability of Suprema and show that it is possible to achieve convergence almost surely and in probability.
BookDOI
Weak Convergence and Empirical Processes
TL;DR: This chapter discusses Convergence: Weak, Almost Uniform, and in Probability, which focuses on the part of Convergence of the Donsker Property which is concerned with Uniformity and Metrization.
Book
Empirical processes with applications to statistics
Galen R. Shorack,Jon A. Wellner +1 more
TL;DR: In this paper, a broad cross-section of the literature available on one-dimensional empirical processes is summarized, with emphasis on real random variable processes as well as a wide-ranging selection of applications in statistics.
Journal ArticleDOI
Efficient and Adaptive Estimation for Semiparametric Models.
Book
Information Bounds and Nonparametric Maximum Likelihood Estimation
Piet Groeneboom,Jon A. Wellner +1 more
TL;DR: In this paper, the authors proposed a nonparametric maximum likelihood estimator for interval censoring, which is based on the Van der Vaart Differentiability Theorem (VDT).