Results 61 to 70 of about 6,156 (248)

Bayesian nonparametric quantile regression using splines

Computational Statistics & Data Analysis, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paul A. Thompson, Yuzhi Cai, Rana Moyeed, Dominic Reeve, Julian Stander   +4 more
openaire   +3 more sources

The Danish Out-of-Hospital Cardiac Arrest Trial: A Statistical Analysis Plan. [PDF]

Acta Anaesthesiol Scand
ABSTRACT Background Post‐cardiac arrest care for patients resuscitated from out‐of‐hospital cardiac arrest (OHCA) includes multiple pharmacological and physiological interventions, yet optimal strategies to reduce post‐cardiac arrest syndrome–related morbidity and mortality remain uncertain.
Mølstrøm S, Møller JE, Schmidt H, Grejs AM, Christensen S, Kjærgaard J, Hassager C, Meyer MAS, Andersen LPK, Rasmussen BS, Andreasen JB, Möller S.   +11 more
europepmc   +2 more sources

Nonparametric Instrumental Variables Estimation of a Quantile Regression Model [PDF]

Econometrica, 2007
We consider nonparametric estimation of a regression function that is identified by requiring a specified quantile of the regression "error" conditional on an instrumental variable to be zero. The resulting estimating equation is a nonlinear integral equation of the first kind, which generates an ill-posed inverse problem.
Joel L. Horowitz, Sokbae (Simon) Lee
openaire   +3 more sources

pyStoNED: A Python Package for Convex Regression and Frontier Estimation

Journal of Statistical Software
Shape-constrained nonparametric regression is a growing area in econometrics, statistics, operations research, machine learning, and related fields.
Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee, Timo Kuosmanen   +3 more
doaj   +1 more source

The Principal Component Linear Spline Quantile Regression Model in Statistical Downscaling for Rainfall Data [PDF]

Journal of Sciences, Islamic Republic of Iran
Information regarding rainfall can be obtained from global data, namely the global climate model that can be accessed through the statistical downscaling approach.
Andi Yulianti, Anna Islamiyati, Erna Herdiani   +2 more
doaj   +1 more source

Quantile-specific heritability of plasma fibrinogen concentrations.

PLoS ONE, 2022
BackgroundFibrinogen is a moderately heritable blood protein showing different genetic effects by sex, race, smoking status, pollution exposure, and disease status.
Paul T Williams
doaj   +1 more source

quantreg.nonpar: An R Package for Performing Nonparametric Series Quantile Regression [PDF]

The R Journal, 2016
The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models. quantreg.nonpar obtains point estimates of the conditional quantile function and its derivatives based on series approximations to the nonparametric part of the model.
Lipsitz, Michael, Belloni, Alexandre, Chernozhukov, Victor, Fernández-Val, Iván   +3 more
openaire   +5 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Strong Consistency of Incomplete Functional Percentile Regression

Axioms
This paper analyzes the co-fluctuation between a scalar response random variable and a curve regressor using quantile regression. We focus on the situation wherein the output variable is observed with random missing.
Mohammed B. Alamari, Fatimah A. Almulhim, Ouahiba Litimein, Boubaker Mechab   +3 more
doaj   +1 more source

Corporate Dynamic Eco‐Innovation Capability and Carbon Emission Reduction: Evidence From African Listed Firms With the Role of Institutional Pressures

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite the global emphasis on simultaneous achievement of higher growth and lower pollution (green growth), the dynamic link between eco‐innovation and CO2 emissions remains inadequately understood globally and specifically in Africa, with a complex and diverse institutional and regulatory landscape.
Idorenyin J. Okon, Adeolu O. Adewuyi, Alex O. Acheampong   +2 more
wiley   +1 more source