Results 51 to 60 of about 1,578,829 (286)
Energies, 2020 The widespread availability of wind turbine operation data has considerably boosted the research and the applications for wind turbine monitoring. It is well established that a systematic misalignment of the wind turbine nacelle with respect to the wind ...
Davide Astolfi +4 more
doaj +1 more source
Confidence bands for multivariate and time dependent inverse regression models
, 2015 Uniform asymptotic confidence bands for a multivariate regression function in an inverse regression model with a convolution-type operator are constructed. The results are derived using strong approximation methods and a limit theorem for the supremum of
Bissantz, Nicolai +2 more
core +1 more source
FEBS Open Bio, EarlyView.ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui +10 more
wiley +1 more source
AN ADAPTIVE METHOD FOR BUILDING A MULTIVARIATE REGRESSION
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технологіїWe propose an adaptive method for building a multivariate regression given by a weighted linear convolution of known scalar functions of deterministic input variables with unknown coefficients.
Alexander Pavlov +2 more
doaj +1 more source
A Data-Driven Analysis on the Impact of High-Speed Rails on Land Prices in Taiwan
Applied Sciences, 2020 High-speed rail (HSR) networks boost inter-city accessibility across a country and stimulate economic growth in inner cities. These economic gains, however, can often be accompanied by sharp increases in land and property prices along the lines that ...
Joyce M.W. Low, Byung Kwon Lee
doaj +1 more source
Adaptive Multivariate Ridge Regression
The Annals of Statistics, 1980 A multivariate version of the Hoerl-Kennard ridge regression rule is introduced. The choice from among a large class of possible generalizations is guided by Bayesian considerations; the result is implicitly in the work of Lindley and Smith although not actually derived there.
Brown, P. J., Zidek, J. V.
openaire +2 more sources
FEBS Open Bio, EarlyView.A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo +7 more
wiley +1 more source
Bayesian nonparametric multivariate convex regression [PDF]
, 2011 In many applications, such as economics, operations research and reinforcement learning, one often needs to estimate a multivariate regression function f subject to a convexity constraint.
Dunson, David B., Hannah, Lauren A.
core
Statistical Inference using the Morse-Smale Complex
, 2017 The Morse-Smale complex of a function $f$ decomposes the sample space into cells where $f$ is increasing or decreasing. When applied to nonparametric density estimation and regression, it provides a way to represent, visualize, and compare multivariate ...
Chen, Yen-Chi +2 more
core +1 more source
Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas +7 more
wiley +1 more source