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- Oak Ridge National LaboratoryUS61 papers
- Duke UniversityUS52 papers
- Triangle Universities Nuclear LaboratoryUS52 papers
- North Central State CollegeUS51 papers
- Los Alamos National LaboratoryUS50 papers
- University of California, BerkeleyUS43 papers
- University of Tennessee at KnoxvilleUS35 papers
- Lawrence Berkeley National LaboratoryUS34 papers
- University of North Carolina at Chapel HillUS34 papers
- University of WashingtonUS34 papers
- Centre National de la Recherche ScientifiqueFR32 papers
- Goddard Space Flight CenterUS32 papers
38 papers · 1 filter
Nonparametric Estimation of Isotropic Covariance Function
Yiming Wang, Sujit K. Ghosh
A nonparametric model using a sequence of Bernstein polynomials is constructed to approximate arbitrary isotropic covariance functions valid in and related appr…
Hypothesis testing for community structure in temporal networks using e-values
Eric Yanchenko, Jonathan P. Williams, Ryan Martin
Community structure in networks naturally arises in various applications. But while the topic has received significant attention for static networks, the literature on community st…
Non-null Shrinkage Regression and Subset Selection via the Fractional Ridge Regression
Sihyung Park, Leonard A. Stefanski
-norm penalization, notably the Lasso, has become a standard technique, extending shrinkage regression to subset selection. Despite aiming for oracle properties and consist…
A Unified Framework for Community Detection and Model Selection in Blockmodels
Subhankar Bhadra, Minh Tang, Srijan Sengupta
Blockmodels are a foundational tool for modeling community structure in networks, with the stochastic blockmodel (SBM), degree-corrected blockmodel (DCBM), and popularity-adjusted…
Rejoinder to Reader Reaction "On exact randomization-based covariate-adjusted confidence intervals" by Jacob Fiksel
Ke Zhu, Hanzhong Liu
We applaud Fiksel (2024) for their valuable contributions to randomization-based inference, particularly their work on inverting the Fisher randomization test (FRT) to construct co…
A Two-Stage Approach for Segmenting Spatial Point Patterns Applied to Multiplex Imaging
Alvin Sheng, Brian J. Reich, Ana-Maria Staicu +3
Recent advances in multiplex imaging have enabled researchers to locate different types of cells within a tissue sample. This is especially relevant for tumor immunology, as clinic…