Zobrazeno 1 - 10
of 14 620
pro vyhledávání: '"SIMON, N."'
Autor:
Wood, Simon N., Wit, Ernst C., McKeigue, Paul M., Hu, Danshu, Flood, Beth, Corcoran, Lauren, Jawad, Thea Abou
This paper discusses some statistical aspects of the U.K. Covid-19 pandemic response, focussing particularly on cases where we believe that a statistically questionable approach or presentation has had a substantial impact on public perception, or go
Externí odkaz:
http://arxiv.org/abs/2409.06473
In this paper we derive families of Gershgorin-type inclusion sets for the spectra and pseudospectra of finite matrices. In common with previous generalisations of the classical Gershgorin bound for the spectrum, our inclusion sets are based on a blo
Externí odkaz:
http://arxiv.org/abs/2408.03883
Autor:
Chu, Simon N., Goodell, Alex J.
Problem: Effective patient-centered communication is a core competency for physicians. However, both seasoned providers and medical trainees report decreased confidence in leading conversations on sensitive topics such as goals of care or end-of-life
Externí odkaz:
http://arxiv.org/abs/2405.19941
Autor:
Wood, Simon N.
Many varieties of cross validation would be statistically appealing for the estimation of smoothing and other penalized regression hyperparameters, were it not for the high cost of evaluating such criteria. Here it is shown how to efficiently and acc
Externí odkaz:
http://arxiv.org/abs/2404.16490
In this paper we derive novel families of inclusion sets for the spectrum and pseudospectrum of large classes of bounded linear operators, and establish convergence of particular sequences of these inclusion sets to the spectrum or pseudospectrum, as
Externí odkaz:
http://arxiv.org/abs/2401.03984
Autor:
Harsimran Kaur, Cody N. Heiser, Eliot T. McKinley, Lissa Ventura-Antunes, Coleman R. Harris, Joseph T. Roland, Melissa A. Farrow, Hilary J. Selden, Ellie L. Pingry, John F. Moore, Lauren I. R. Ehrlich, Martha J. Shrubsole, Jeffrey M. Spraggins, Robert J. Coffey, Ken S. Lau, Simon N. Vandekar
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Spatially resolved molecular assays provide high dimensional genetic, transcriptomic, proteomic, and epigenetic information in situ and at various resolutions. Pairing these data across modalities with histological features enables powerful
Externí odkaz:
https://doaj.org/article/5020e650cae64416958a5b3aac787054
