Results 201 to 210 of about 16,252 (305)

Engineered Metal–Organic Frameworks‐Based Materials for Environmental Detection

ENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 4, July 2026.
Engineered metal–organic frameworks (MOFs) regulated by various material modification strategies are discussed for environmental contaminant detection under different sensing mechanisms, providing future improvements of MOFs in environmental detection. Sensitive and selective detection of contaminants is crucial for environmental protection.
Pan Gao, Song Wang, Yuechao Yao, Yibo Dou   +3 more
wiley   +1 more source

Prediction, lag and mixture effects of meteorology and pollutants on the incidence of pulmonary tuberculosis in Jining City, China. [PDF]

BMC Public Health
Cao H, Liu W, Yuan J, Wang W, Hou W.
europepmc   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, Volume 45, Issue 4, Page 1579-1600, July 2026.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

A Predictive and Adaptive Virtual Exposure Framework for Spider Fear: A Multimodal VR-Based Behavioral Intervention. [PDF]

Healthcare (Basel)
Mohamed HG, Khan MN, Tahir M, Ismat N, Zaffar A, Naseer F, Ali S.   +6 more
europepmc   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, Volume 45, Issue 4, Page 1633-1651, July 2026.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Testing for the footprints of stabilization economic policy in forecast errors. [PDF]

PLoS One
Charemza W, Francq C, Lupu R, Makarova S, Zakoïan JM.   +4 more
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, Volume 45, Issue 4, Page 1797-1828, July 2026.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Forecasting with a Bivariate Hysteretic Time Series Model Incorporating Asymmetric Volatility and Dynamic Correlations. [PDF]

Entropy (Basel)
Than HT.
europepmc   +1 more source

Coherent Forecasting of Realized Volatility

Journal of Forecasting, Volume 45, Issue 4, Page 1714-1729, July 2026.
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley   +1 more source

Flexible Target Prediction for Quantitative Trading in the American Stock Market: A Hybrid Framework Integrating Ensemble Models, Fusion Models and Transfer Learning. [PDF]

Entropy (Basel)
Yan K, Yue Z, Wu CC, He Q, Zhou J, Hao Z, Li Y.   +6 more
europepmc   +1 more source