368 citations
- Brookhaven National LaboratoryUS16 papers
- Thomas Jefferson National Accelerator FacilityUS11 papers
- University of VirginiaUS11 papers
- Center for Astrophysics Harvard & SmithsonianUS10 papers
- RIKEN BNL Research CenterUS10 papers
- University of EdinburghGB9 papers
- A. Alikhanyan National LaboratoryAM8 papers
- Duke UniversityUS8 papers
- Florida International UniversityUS8 papers
- James Madison UniversityUS8 papers
- Rensselaer Polytechnic InstituteUS8 papers
- University of SouthamptonGB8 papers
6 papers · 1 filter
Data volume and power of multiple tests with small sample size per null
Zhiyi Chi
In multiple hypothesis testing, the volume of data, defined as the number of replications per null times the total number of nulls, usually defines the amount of resource required.…
Uniform limit theorems for wavelet density estimators
Evarist Giné, Richard Nickl
Let be the linear wavelet density estimator, where , are a father and a mother wavelet (with…
On local -statistic processes and the estimation of densities of functions of several sample variables
Evarist Giné, David M. Mason
A notion of local -statistic process is introduced and central limit theorems in various norms are obtained for it. This involves the development of several inequalities for …
Multivariate medians and measure-symmetrization
Richard A. Vitale
We discuss two research areas dealing respectively with (1) a class of multivariate medians and (2) a symmetrization algorithm for probability measures.
False discovery rate control with multivariate -values
Zhiyi Chi
Multivariate statistics are often available as well as necessary in hypothesis tests. We study how to use such statistics to control not only false discovery rate (FDR) but also po…
Moving from Data-Constrained to Data-Enabled Research: Experiences and Challenges in Collecting, Validating and Analyzing Large-Scale e-Commerce Data
Ravi Bapna, Paulo Goes, Ram Gopal +1
Widespread e-commerce activity on the Internet has led to new opportunities to collect vast amounts of micro-level market and nonmarket data. In this paper we share our experiences…