Results 31 to 40 of about 2,889,354 (160)

A hybrid Bayesian-network proposition for forecasting the crude oil price

Financial Innovation, 2019
This paper proposes a hybrid Bayesian Network (BN) method for short-term forecasting of crude oil prices. The method performed is a hybrid, based on both the aspects of classification of influencing factors as well as the regression of the out-of-sample ...
Babak Fazelabdolabadi
doaj   +1 more source

Explanation of somatic symptoms by mental health and personality traits: application of Bayesian regularized quantile regression in a large population study

BMC Psychiatry, 2019
Background Somatic syndrome is one of the remarkably prevalent issues in primary health care and subspecialty settings. We aimed to elucidate multidimensional associations between somatic symptoms with major mental problems and personality traits in the ...
Shayan Mostafaei, Kourosh Kabir, Anoshirvan Kazemnejad, Awat Feizi, Marjan Mansourian, Ammar Hassanzadeh Keshteli, Hamid Afshar, Saeed Masoud Arzaghi, Saeid Rasekhi Dehkordi, Peyman Adibi, Fataneh Ghadirian   +10 more
doaj   +1 more source

Co-Exposure of Polycyclic Aromatic Hydrocarbons and Phthalates with Blood Cell-Based Inflammation in Early Pregnant Women

Toxics, 2023
Cumulative evidence has demonstrated that exposure to polycyclic aromatic hydrocarbons (PAHs) or phthalates (PAEs) contributes to a variety of adverse health effects.
Yunxiao Yang, Ting Wang, Lei Luo, Qian He, Fangfei Guo, Zhongbao Chen, Yijun Liu, Xingyan Liu, Yan Xie, Xuejun Shang, Xubo Shen, Yuanzhong Zhou, Kunming Tian   +12 more
doaj   +1 more source

The complex relationship of air pollution and neighborhood socioeconomic status and their association with cognitive decline

Environment International, 2022
Background: Air pollution and neighborhood socioeconomic status (nSES) have been shown to affect cognitive decline in older adults. In previous studies, nSES acts as both a confounder and an effect modifier between air pollution and cognitive decline ...
Grace M. Christensen, Zhenjiang Li, John Pearce, Michele Marcus, James J. Lah, Lance A. Waller, Stefanie Ebelt, Anke Hüls   +7 more
doaj   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

COMPARISON OF OPTIMIZATION STRATEGIES AND ESTIMATION TECHNIQUES FOR RADIO NETWORK PLANNING AND OPTIMIZATION PROBLEMS

Information and Telecommunication Sciences, 2023
Background. Radio network planning is one of the main phases of the cellular network lifecycle, as it determines capital and operating costs and allows system performance evaluation at any given time.
Володимир Прокопець, Лариса Глоба   +1 more
doaj   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

Perfluoroalkyl substances (PFASs) as risk factors for breast cancer: a case–control study in Chinese population

Environmental Health, 2022
Background Perfluoroalkyl substances (PFASs) are a large family of synthetic chemicals, some of which are mammary toxicants and endocrine disruptors.
Xuejun Li, Fengju Song, Xiaotu Liu, Anqi Shan, Yubei Huang, Zhengjun Yang, Haixin Li, Qiaoyun Yang, Yue Yu, Hong Zheng, Xu-Chen Cao, Da Chen, Ke-Xin Chen, Xi Chen, Nai-jun Tang   +14 more
doaj   +1 more source

Prior elicitation in Bayesian quantile regression for longitudinal data [PDF]

, 2011
© 2011 Alhamzawi R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original auhor and source are ...
Alhamzawi, Rahim, Rahim Alhamzawi, Pan, J, Yu, K, Yu, Keming, Pan, Jianxin, Al-Hamzawi, R, Keming Yu   +7 more
core   +1 more source

Variational Bayesian Quantile Regression with Non-Ignorable Missing Response Data

Axioms
For non-ignorable missing response variables, the mechanism of whether the response variable is missing can be modeled through logistic regression. In Bayesian computation, the lack of a conjugate prior for the logistic function poses a significant ...
Juanjuan Zhang, Weixian Wang, Maozai Tian   +2 more
doaj   +1 more source