Results 191 to 200 of about 14,044 (266)

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, Volume 45, Issue 6, Page 2905-2941, September 2026.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, Volume 45, Issue 6, Page 2954-2968, September 2026.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source

A hybrid framework for compartmental models enabling simulation-based inference. [PDF]

J Math Biol
Germano DPJ, Zarebski AE, Hautphenne S, Moss R, Flegg JA, Flegg MB.   +5 more
europepmc   +1 more source

Develop a novel non‐coplanar trajectory optimization algorithm for an efficient 4pi spot‐scanning proton Arc (SPArc‐4pi) treatment delivery

Medical Physics, Volume 53, Issue 9, September 2026.
Abstract Background The degree of freedom has been recognized as a key factor in particle beam therapy, such as improving the dose conformity and linear energy transfer distributions. Therefore, proton arc therapy has drawn significant interest in the Society of Radiation Oncology as a potentially efficient and optimal treatment option for cancer ...
Xiaoda Cong, Shupeng Chen, Peilin Liu, Peng Chen, Xiangkun Xu, Xiaoqiang Li, Peter Chen, Prakash Chinnaiyan, Xuanfeng Ding   +8 more
wiley   +1 more source

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance

Policy &Internet, Volume 18, Issue 3, September 2026.
ABSTRACT Artificial intelligence's integration into daily life has brought with it a reckoning on the role such technology plays in society and the varied stakeholders who should shape its governance. This is particularly relevant for AI‐generated, or synthetic, media, an emergent visual technology impacting perceptions of media as records of reality ...
Claire R. Leibowicz
wiley   +1 more source

Nasal and oral breathing modes reconfigure brain network dynamics between stabilizing integration and promoting fragmentation. [PDF]

Sci Rep
Mohammadi S, Hossein-Zadeh GA, Raoufy MR.   +2 more
europepmc   +1 more source

Integrated LEO Constellation and In‐Cabin Distribution System for Continuous Aircraft 5G Connectivity

International Journal of Satellite Communications and Networking, Volume 44, Issue 5, Page 594-606, September/October 2026.
ABSTRACT The integration of low Earth orbit (LEO) satellite constellations with commercial aircraft communication systems presents critical challenges in maintaining continuous connectivity during dynamic flight conditions. Current geostationary satellite systems suffer from high round‐trip latency ( > 500 ms) and inadequate coverage at high latitudes,
Raúl Parada, Victor Monzon Baeza, Carlos Horcajo Fernández de Gamboa, Rocío Serrano Camacho, Carlos Monzo   +4 more
wiley   +1 more source

The emergence of hyperendemic dengue in Bangladesh: An ecological study of structural breaks and transmission regime shifts, 2008-2025. [PDF]

PLoS One
Hasan P, Khan TD, Arifuzzaman M, Islam MS, Haque ME.   +4 more
europepmc   +1 more source

Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings

Stat, Volume 15, Issue 3, September 2026.
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal, Maxence Lamure, Tanguy Lefort, Frank Imbach   +3 more
wiley   +1 more source

Cost-effectiveness of semaglutide versus dulaglutide for Type 2 Diabetes in China: A Markov Model analysis. [PDF]

PLoS One
Chen Q, Chen T, Lin W, Chen X.
europepmc   +1 more source