308 citations
- Duke UniversityUS58 papers
- University of North Carolina at Chapel HillUS13 papers
- North Carolina State UniversityUS11 papers
- University of California, BerkeleyUS7 papers
- Statistical Research (United States)US5 papers
- Texas A&M UniversityUS5 papers
- University of CincinnatiUS5 papers
- Clarkson UniversityUS4 papers
- Department of Mathematical SciencesRU4 papers
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- University of WashingtonUS4 papers
- Cornell UniversityUS3 papers
112 papers
Micro-displacement tensor
Giuseppe Zurlo, Lev Truskinovsky
We propose an extended kinematics of nominally elastic continuum solids allowing one to describe their mechanical interaction with micro-scale loading devices. The main new ingredi…
Recovering Wasserstein Distance Matrices from Few Measurements
Muhammad Rana, Abiy Tasissa, HanQin Cai +2
This paper proposes two algorithms for estimating square Wasserstein distance matrices from a small number of entries. These matrices are used to compute manifold learning embeddin…
Joint space-time modelling for upper daily maximum and minimum temperature record-breaking
Jorge Castillo-Mateo, Zeus Gracia-Tabuenca, Jesús Asín +2
Record-breaking temperature events are now frequently in the news, proffered as evidence of climate change, and often bring significant economic and human impacts. Our previous wor…
Class Groups and Selmer Groups in Special Families
Abhishek, Debanjana Kundu
We explore the relationship between (3-isogeny induced) Selmer group of an elliptic curve and the (3 part of) the ideal class group, over certain non-abelian number fields.
Assessing the validity of new paradigmatic complexity measures as criterial features for proficiency in L2 writings in English
Cyriel Mallart, Andrew Simpkin, Nicolas Ballier +5
This article addresses Second Language (L2) writing development through an investigation of new grammatical and structural complexity metrics. We explore the paradigmatic productio…
Nonparametric IPSS: Fast, flexible feature selection with false discovery control
Omar Melikechi, David B. Dunson, Jeffrey W. Miller
Feature selection is a critical task in machine learning and statistics. However, existing feature selection methods either (i) rely on parametric methods such as linear or general…