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pro vyhledávání: '"Hanson, Timothy"'
Spatial precision is often measured using the standard deviation (SD) of the eye position signal or the RMS of the sample-to-sample differences (StoS) signal during fixation. As both measures emerge from statistical theory applied to time-series, the
Externí odkaz:
http://arxiv.org/abs/2303.06004
Autor:
Hanson, Timothy Lars
Brain-machine interfaces (BMIs) use recordings from the nervous system to extract volitional and motor parameters for controlling external actuators, such as prosthetics, thereby bypassing or replacing injured tissue. As such, they show enormous prom
Externí odkaz:
http://hdl.handle.net/10161/5404
Akademický článek
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Spatial survival analysis has received a great deal of attention over the last 20 years due to the important role that geographical information can play in predicting survival. This paper provides an introduction to a set of programs for implementing
Externí odkaz:
http://arxiv.org/abs/1705.04584
Autor:
Zhou, Haiming, Hanson, Timothy
A comprehensive, unified approach to modeling arbitrarily censored spatial survival data is presented for the three most commonly-used semiparametric models: proportional hazards, proportional odds, and accelerated failure time. Unlike many other app
Externí odkaz:
http://arxiv.org/abs/1701.06976
Ensemble of regression trees have become popular statistical tools for the estimation of conditional mean given a set of predictors. However, quantile regression trees and their ensembles have not yet garnered much attention despite the increasing po
Externí odkaz:
http://arxiv.org/abs/1607.02676
Publikováno v:
Annals of Applied Statistics 2015, Vol. 9, No. 1, 43-68
Understanding the factors that explain differences in survival times is an important issue for establishing policies to improve national health systems. Motivated by breast cancer data arising from the Surveillance Epidemiology and End Results progra
Externí odkaz:
http://arxiv.org/abs/1505.02886
Autor:
Ma, Zichen, Hanson, Timothy E.
Publikováno v:
In Computational Statistics and Data Analysis September 2020 149
Akademický článek
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Autor:
Hanson, Timothy B.
Cascade adaptive arrays that reduce processor requirements, increase reliability, and create modularity are proposed. These cascade adaptive arrays reduce processor complexity by breaking a large array up into a number of smaller subarrays that can t
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1173207031