Results 121 to 130 of about 3,032,172 (354)

Regression for Exploring Rainfall Pattern in Indramayu Regency

Jurnal Ilmu Dasar, 2012
Quantile regression is an important tool for conditional quantiles estimation of a response Y for a given vector of covariates X. It can be used to measure the effect of covariates not only in the center of a distribution, but also in the upper and lower
Anik Djuraidah, Aji Hamim Wigena
doaj  

Quantile Encoder: Tackling High Cardinality Categorical Features in\n Regression Problems [PDF]

, 2021
Carlos Mougan, David Masip Rodó, Jordi Nin, Oriol Pujol   +3 more
openalex   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Chronic high‐fat diet induces multi‐organ dysfunction and metabolic homeostasis disruption in Macaca fascicularis

Animal Models and Experimental Medicine, EarlyView.
An 18‐month HFD successfully established a translational Macaca fascicularis model replicating key metabolic disorders (MASH, diabetes, cardiac hypertrophy). MASH was determined by liver biopsy histology, the presence steatosis, inflammatory infiltration, hepatocytic ballooning, and fibrosis were considered as MASH; diabetes was diagnosed according to ...
Hongyi Chen, Wei Liu, Dan Zhou, Shuhua Liu, Yalun Guan, Zongyu Miao, Lei Cai, Xuejiao Li, Yunfeng Li, Zhongqiang Huang, Yi Jin, Ge Li, Yu Zhang   +12 more
wiley   +1 more source

Normative data from linear and nonlinear quantile regression in CANTAB: Cognition in mid‐to‐late life in an epidemiological sample

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2019
Introduction Normative cognitive data can help to distinguish pathological decline from normal aging. This study presents normative data from the Cambridge Neuropsychological Test Automated Battery, using linear regression and nonlinear quantile ...
Rosemary A. Abbott, Caroline Skirrow, Martha Jokisch, Maarten Timmers, Johannes Streffer, Luc vanNueten, Michael Krams, Angela Winkler, Noreen Pundt, Pradeep J. Nathan, Philippa Rock, Francesca K. Cormack, Christian Weimar   +12 more
doaj   +1 more source

Serum p‐tau217 Is a Prognostic Indicator of Cognitive Impairment in Idiopathic REM Sleep Behavior Disorder

Annals of Neurology, EarlyView.
Objective Assess the performance of serum phosphorylated tau 217 (p‐tau217) and neurofilament light chain (NfL) in predicting risk of cognitive impairment or phenoconversion to dementia in individuals with iRBD. Methods We measured serum p‐tau217 and NfL levels by electrochemiluminescence across 4 polysomnographically confirmed iRBD cohorts (n = 300 ...
Shijun Yan, Anis Sahoo, Tanja Zerenner, Kenneth Marek, Michael Sommerauer, Wolfgang Oertel, Michele T. Hu, George K. Tofaris   +7 more
wiley   +1 more source

The dynamic impact of biomass and natural resources on ecological footprint in BRICS economies: A quantile regression evidence

Energy Reports, 2022
Abraham Ayobamiji Awosusi, T. Adebayo, Mehmet Altuntaş, E. B. Agyekum, Hossam M. Zawbaa, S. Kamel   +5 more
semanticscholar   +1 more source

Integrating mandibular evidence to assess morphological variation of the Australopithecus afarensis maxilla

The Anatomical Record, EarlyView.
Abstract Geometric morphometric analyses are used to explore variation of maxillary dental arcades of Australopithecus afarensis, expanding on the work of Hanegraef and Spoor, 2025 (Morphological variation of the Australopithecus afarensis maxilla.
Hester Hanegraef, Romain David, Fred Spoor   +2 more
wiley   +1 more source

Returns to Schooling: A Quantile Regression [PDF]

, 2012
This paper contributes to the large body of economic literature that attempts to estimate the returns to schooling. It uses quantile regression to estimate the effect of an additional year of education on monthly wage for earners in different quantiles ...
Oganisian, Arman
core   +3 more sources

Modeling sign concordance of quantile regression residuals with multiple outcomes

, 2022
Silvia Columbu, Paolo Frumento, Matteo Bottai   +2 more
openalex   +2 more sources