Search Results - "Carroll, Cody"

Mountaineers on Mount Everest: Effects of age, sex, experience, and crowding on rates of success and death by Huey, Raymond B, Carroll, Cody, Salisbury, Richard, Wang, Jane-Ling

“…Mount Everest is an extreme environment for humans. Nevertheless, hundreds of mountaineers attempt to summit Everest each year. In a previous study we analyzed…”
Get full text

A practical method to quantify knowledge‐based DVH prediction accuracy and uncertainty with reference cohorts by Covele, Brent M., Carroll, Cody J., Moore, Kevin L.

“…The adoption of knowledge‐based dose‐volume histogram (DVH) prediction models for assessing organ‐at‐risk (OAR) sparing in radiotherapy necessitates…”
Get full text

A Formal Exploration of Latent System Description and Requirement Similarities Using Transformer-Based Contextual Embeddings by Carroll, Cody

“…Engineering design is heavily influenced by system requirements, as they span the entire design process, though are not utilized to convey system information…”
Get full text

Cross‐component registration for multivariate functional data, with application to growth curves by Carroll, Cody, Müller, Hans‐Georg, Kneip, Alois

“…Multivariate functional data are becoming ubiquitous with advances in modern technology and are substantially more complex than univariate functional data. We…”
Get full text

Latent deformation models for multivariate functional data and time‐warping separability by Carroll, Cody, Müller, Hans‐Georg

“…Multivariate functional data present theoretical and practical complications that are not found in univariate functional data. One of these is a situation…”
Get full text

Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States by Dubey, Paromita, Chen, Yaqing, Gajardo, Álvaro, Bhattacharjee, Satarupa, Carroll, Cody, Zhou, Yidong, Chen, Han, Müller, Hans-Georg

“…Delay differential equations form the underpinning of many complex dynamical systems. The forward problem of solving random differential equations with delay…”
Get full text

Time dynamics of COVID-19 by Carroll, Cody, Bhattacharjee, Satarupa, Chen, Yaqing, Dubey, Paromita, Fan, Jianing, Gajardo, Álvaro, Zhou, Xiner, Müller, Hans-Georg, Wang, Jane-Ling

“…We apply tools from functional data analysis to model cumulative trajectories of COVID-19 cases across countries, establishing a framework for quantifying and…”
Get full text

Intercomponent Time Dynamics for Multivariate Functional Data by Carroll, Cody James

“…Multivariate functional data often present theoretical and practical complications which are not found in their univariate functional counterparts. One of…”
Get full text

COMPARISON OF DIAGNOSTIC PREDICTORS OF NEONATAL SURVIVABILITY IN NONDOMESTIC CAPRINAE by Bliss, Taylor N, Marinkovich, Matt J, Burns, Rachel E, Carroll, Cody, Clancy, Meredith M, Howard, Lauren L

“…This retrospective study evaluated whether six methods (glutamyltransferase, glutaraldehyde coagulation test, sodium sulfite precipitation test, total serum…”
Get more information

Latent Deformation Models for Multivariate Functional Data and Time Warping Separability by Carroll, Cody, Müller, Hans-Georg

“…Multivariate functional data present theoretical and practical complications which are not found in univariate functional data. One of these is a situation…”
Get full text

Cross-Component Registration for Multivariate Functional Data, With Application to Growth Curves by Carroll, Cody, Müller, Hans-Georg, Kneip, Alois

“…Multivariate functional data are becoming ubiquitous with advances in modern technology and are substantially more complex than univariate functional data. We…”
Get full text

Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States by Dubey, Paromita, Chen, Yaqing, Gajardo, Álvaro, Bhattacharjee, Satarupa, Carroll, Cody, Zhou, Yidong, Chen, Han, Müller, Hans-Georg

“…Delay differential equations form the underpinning of many complex dynamical systems. The forward problem of solving random differential equations with delay…”
Get full text