14 citations · 31 across the 7 of their papers we have counts for
6 papers
Differentially Private Model Selection with Penalized and Constrained Likelihood
Jing Lei, Anne-Sophie Charest, Aleksandra Slavkovic +2
In statistical disclosure control, the goal of data analysis is twofold: The released information must provide accurate and useful statistics about the underlying population of int…
Localized Functional Principal Component Analysis
Kehui Chen, Jing Lei
We propose localized functional principal component analysis (LFPCA), looking for orthogonal basis functions with localized support regions that explain most of the variability of…
Network Cross-Validation for Determining the Number of Communities in Network Data
Kehui Chen, Jing Lei
The stochastic block model and its variants have been a popular tool in analyzing large network data with community structures. In this paper we develop an efficient network cross-…
The functional mean-shift algorithm for mode hunting and clustering in infinite dimensions
Mattia Ciollaro, Christopher Genovese, Jing Lei +1
We introduce the functional mean-shift algorithm, an iterative algorithm for estimating the local modes of a surrogate density from functional data. We show that the algorithm can…
Functional Regression for Quasar Spectra
Mattia Ciollaro, Jessi Cisewski, Peter Freeman +4
The Lyman-alpha forest is a portion of the observed light spectrum of distant galactic nuclei which allows us to probe remote regions of the Universe that are otherwise inaccessibl…
Distribution Free Prediction Bands
Jing Lei, Larry Wasserman
We study distribution free, nonparametric prediction bands with a special focus on their finite sample behavior. First we investigate and develop different notions of finite sample…