Results 61 to 70 of about 5,409,783 (312)
Boosted Beta regression. [PDF]
, 2013 Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale.
Andreas Mayr (406146) +18 more
core +2 more sources
Prior elicitation and variable selection for bayesian quantile regression [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Bayesian subset selection suffers from three important difficulties: assigning priors over model space, assigning priors to all components of the regression
Al-Hamzawi, Rahim Jabbar Thaher
core +6 more sources
Interaction with Reality in the Problems of Transformation of the Life Path of the Individual
Вестник Кемеровского государственного университета, 2019 This study features the relationship between the interaction of the individual with reality and the transformation of one’s life. The analysis and synthesis of domestic and foreign theoretical concepts allowed the authors to identify two key aspects of ...
Ekaterina S. Fominykh
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Regression-Assisted Deconvolution
, 2018 We present a semi-parametric deconvolution estimator for the density function of a random variable X that is measured with error. Traditional deconvolution estimators rely only on assumptions about the distribution of X and the error in its measurement ...
Leonard A. Stefanski (2569393) +1 more
core +1 more source
Boosting Ridge Regression [PDF]
, 2005 Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approaches to combining ridge regression with boosting techniques.
Binder, Harald, Tutz, Gerhard
core +1 more source
Simulation Models in a Fluidity Test of the Al-Si Alloy
MetalsThe goal of the fluidity test is to evaluate the ability of the melt to fill the cavity of the mold, which is one of the factors affecting the final quality of the castings.
Marek Šolc +7 more
doaj +1 more source
Experimental Physiology, 2023 Measurement of body core temperature (Tcore) is paramount to determining the thermoregulatory strain of athletes. However, standard measurement procedures of Tcore are not practical for extended use outside the laboratory environment.
Marcelo T. Andrade +9 more
doaj +1 more source
Fast Kernel Smoothing in R with Applications to Projection Pursuit
Journal of Statistical Software, 2022 This paper introduces the R package FKSUM, which offers fast and exact evaluation of univariate kernel smoothers. The main kernel computations are implemented in C++, and are wrapped in simple, intuitive and versatile R functions.
David P. Hofmeyr
doaj +1 more source
Discerning protein pools by selective staining with self‐labeling tags
FEBS Letters, EarlyView.Cell surface proteins have an intra‐ and extracellular pool. Combining genetic fusion to self‐labeling tags that can be addressed with small molecule fluorophores allows separating these pools. We highlight recent developments and techniques for state‐of‐the‐art interrogation of cell surface proteins in the complex tissue setting.
Kati Fischermanns, Johannes Broichhagen
wiley +1 more source