Results 21 to 30 of about 10,144,475 (264)

Robust bayesian inference in empirical regression models [PDF]

, 1991
Broadening the stochastic assumptions on the error terms of regression models was prompted by the analysis of linear multivariate t models in Zellner (1976).
Osiewalski, Jacek, Steel, Mark F.J.
core   +1 more source

Overdispersed Nonlinear Regression Models

Austrian Journal of Statistics
In this paper we propose nonlinear regression models in the biparametric family of distributions. In this class of models we propose two new classes of overdispersed nonlinear regression models: the first, defined from the overdispersion family of ...
Edilberto Cepeda-Cuervo, María Victoria Cifuentes   +1 more
doaj   +1 more source

Efficient quantile regression for heteroscedastic models [PDF]

, 2015
Quantile regression (QR) provides estimates of a range of conditional quantiles. This stands in contrast to traditional regression techniques, which focus on a single conditional mean function. Lee et al.
MacEachern, Steve N,, Lee, Yoonkyung, Jung, Yoonsuh, Steven N. Maceachern, MacEachern, Steven N., Yoonsuh Jung, Yoonkyung Lee, Yoonsuh Jung (111157), Yoonkyung Lee (643212), Steven N. MacEachern (638105)   +9 more
core   +1 more source

Locally Adaptive Function Estimation for Binary Regression Models [PDF]

, 2003
In this paper we present a nonparametric Bayesian approach for fitting unsmooth or highly oscillating functions in regression models with binary responses. The approach extends previous work by Lang et al. (2002) for Gaussian responses.
Jerak, A., Jerak, Alexander, Lang, S., Lang, Stefan   +3 more
core   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

Propriety of Posteriors in Structured Additive Regression Models: Theory and Empirical Evidence [PDF]

, 2006
Structured additive regression comprises many semiparametric regression models such as generalized additive (mixed) models, geoadditive models, and hazard regression models within a unified framework.
Kneib, Thomas, Fahrmeir, Ludwig
core   +1 more source

Estimating the Tour Length for the Close Enough Traveling Salesman Problem

Algorithms, 2021
We construct empirically based regression models for estimating the tour length in the Close Enough Traveling Salesman Problem (CETSP). In the CETSP, a customer is considered visited when the salesman visits any point in the customer’s service region. We
Debdatta Sinha Roy, Bruce Golden, Xingyin Wang, Edward Wasil   +3 more
doaj   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

Predictive Models of Adult Distance Learners' Academic Performance: Comparative Analysis of Two Regression-based Models of Path Analysis [PDF]

, 2011
Using two regression-based models, this study looked into factors that explain academic performance of adult distance learners. The efficiency and applicability of linear regression and logit regression procedures as statistical models for path analysis ...
Quimbo, Maria Ana T.
core  

Prediction of maximum scour depth in river bends by the Stacking model

Journal of Hydroinformatics, 2023
The accurate prediction of maximum erosion depth in riverbeds is crucial for early protection of bank slopes. In this study, K-means clustering analysis was used for outlier identification and feature selection, resulting in Plan 1 with six influential ...
Junfeng Chen, Xiaoquan Zhou, Lirong Xiao, Yuhang Huang   +3 more
doaj   +1 more source