Results 191 to 200 of about 71,229 (282)

Hybrid time series and machine learning models for forecasting cardiovascular mortality in India: an age specific analysis. [PDF]

BMC Public Health
Teja MD, Rayalu GM.
europepmc   +1 more source

Econometrics at the Extreme: From Quantile Regression to QFAVAR1

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for ...
Stéphane Goutte, Konstantinos N. Konstantakis, Dimitris Konstantios, Panayotis G. Michaelides, Arsenios‐Georgios N. Prelorentzos   +4 more
wiley   +1 more source

Enhancing Prediction by Incorporating Entropy Loss in Volatility Forecasting. [PDF]

Entropy (Basel)
Urniezius R, Petrauskas R, Vaitkus V, Karimov J, Brazauskas K, Repsyte J, Kacerauskiene E, Harms T, Dargiene J, Ezerskis D.   +9 more
europepmc   +1 more source

Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?

Journal of Economic Surveys, EarlyView.
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro, Pilar Giráldez‐Puig, Pedro R. Palos‐Sánchez, Zbigniew Korzeb   +3 more
wiley   +1 more source

Early warning of regime switching in a financial time series: A heteroskedastic network model. [PDF]

PLoS One
Wang L, An S, Dong Z, Dong X, Li J.
europepmc   +1 more source

Why Industrial Internet of Things Platforms Fail: A Structuration Theory Perspective on Platform Evolution

Journal of Product Innovation Management, EarlyView.
ABSTRACT Despite their transformative potential, Industrial Internet of Things (IIoT) platforms often fail to evolve into scalable ecosystems. Research on IIoT platforms attributes failure to discrete factors such as governance misalignment or technological complexity and rarely considers how failure unfolds.
Philipp Kernstock, Andreas Hein, Maximilian Schreieck, Helmut Krcmar   +3 more
wiley   +1 more source

Perception and Prediction of Factors Influencing Carbon Price: Multisource, Spatiotemporal, Hierarchical Federated Learning Framework with Cross-Modal Feature Fusion. [PDF]

Sensors (Basel)
Wang P, Zhou X.
europepmc   +1 more source

The Ecology of Human Sleep (EcoSleep) Cohort Study: Protocol for a longitudinal repeated measurement burst design study to assess the relationship between sleep determinants and outcomes under real‐world conditions across time of year

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary The interplay of daily life factors, including mood, physical activity, or light exposure, influences sleep architecture and quality. Laboratory‐based studies often isolate these determinants to establish causality, thereby sacrificing ecological validity.
Anna M. Biller, Nayab Fatima, Chrysanth Hamberger, Laura Hainke, Verena Plankl, Amna Nadeem, Achim Kramer, Martin Hecht, Manuel Spitschan   +8 more
wiley   +1 more source

Risk contagion of COVID-19 to oil prices: A Markov switching GARCH and PCA approach. [PDF]

PLoS One
Siddiqui N, Mohamad Hasim H.
europepmc   +1 more source

Change Point Analysis for Functional Data Using Empirical Characteristic Functionals

Journal of Time Series Analysis, EarlyView.
ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth, Gregory Rice, Jeremy VanderDoes   +2 more
wiley   +1 more source