Results 211 to 220 of about 3,477,506 (374)

Testing Slope Homogeneity in Quantile Regression Panel Data with an Application to the Cross-Section of Stock Returns* [PDF]

, 2017
Antonio F. Galvao, Ted Juhl, Gabriel Montes‐Rojas, José Olmo   +3 more
openalex   +1 more source

Deep learning for quantile regression under right censoring: DeepQuantreg

Computational Statistics & Data Analysis, 2022
Yichen Jia, Jong-Hyeon Jeong
semanticscholar   +1 more source

The small molecule simufilam dose‐dependently attenuates the worsening of seizures in a mouse model of tuberous sclerosis complex

Epilepsia, EarlyView.
Abstract Objective Novel epilepsy treatments for patients with tuberous sclerosis complex (TSC) and focal cortical dysplasia type II (FCDII) are urgently needed. In these patients, mutations in the mechanistic target of rapamycin (mTOR) pathway genes lead to mTOR hyperactivity and focal cortical malformations that frequently cause intractable epilepsy ...
Branden Stansley, Md. Monirul Islam, Dean J. Aguiar, Zoë Fuchs, Mackenzie Catron, Stephen Morairty, Ying Yuan, Radleigh Santos, Jingguo Hou, Annelies de Kater, George B. Thornton, Angelique Bordey   +11 more
wiley   +1 more source

Effect of iodine nutrition on blood glucose and blood lipid levels in different regions: Based on quantile regression. [PDF]

PLoS One
Chen S, Zhang Y, Liu Z, Wang C, He Y, Liu P, Zhang W, Meng F, Liu L, Sun D, Fan L.   +10 more
europepmc   +1 more source

Stereo‐EEG mapping of visual working memory with task‐related high‐gamma modulations

Epilepsia, EarlyView.
Abstract Objective We describe a safe, informative, and easy‐to‐implement approach for presurgical mapping of visual working memory (VWM) with stereo‐electroencephalography (SEEG). Methods Twenty‐four patients with drug‐resistant epilepsy, 11–23 years of age, performed a single‐probe change detection VWM task, during SEEG monitoring.
Brian Ervin, Jason Buroker, Taylor Cummins, Anna W. Byars, Craig Scholle, Leonid Rozhkov, Paul S. Horn, Jeffrey R. Tenney, Hansel M. Greiner, James L. Leach, Jesse Skoch, Francesco T. Mangano, Katherine D. Holland, Ravindra Arya   +13 more
wiley   +1 more source

COMPARING OLS AND QUANTILE REGRESSION ESTIMATION TECHNIQUES FOR PRODUCTION ANALYSIS: AN APPLICATION TO GHANAIAN MAIZE FARMS

, 2018
De-Graft H. Acquah
openalex   +1 more source

The Impact of Renewable and Non‐Renewable Energy on Economic Growth: Evidence From Sub‐Saharan African Countries Using Multivariate Panel Vector Autoregressive Modeling

Energy Science &Engineering, EarlyView.
This study analyzes energy consumption and economic growth across 39 Sub‐Saharan African countries using a PVAR model. Findings reveal that non‐renewable energy and labor force growth stimulate economic growth, while renewable energy does not stimulate economic growth in the short run.
Amadou Cham, Nana Kena Frempong, Richard Opoku, Francis Davis, Simon Kojo Appiah   +4 more
wiley   +1 more source

Determinants of childhood anaemia in Nigeria: a public health perspective using quantile regression analysis. [PDF]

BMC Public Health
Mhelembe T, Ramroop S, Habyarimana F.
europepmc   +1 more source

A new asymmetric $\epsilon$-insensitive pinball loss function based support vector quantile regression model [PDF]

, 2019
Pritam Anand, Reshma Rastogi, Suresh Chandra   +2 more
openalex  

Renewable Energy Use, Agricultural Productivity, and Economic Expansion Impact on Environmental Sustainability in India

Energy Science &Engineering, EarlyView.
ABSTRACT This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO2 emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic‐ordinary least square (DOLS), fully‐modified ...
Palanisamy Manigandan, Radulescu Magdalena, Duraisamy Pachiyappan, Nadia Sha, Marian Cristescu   +4 more
wiley   +1 more source