Journal of Time Series Analysis, EarlyView.ABSTRACT The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the medium‐to‐long‐run component of economic growth of a ...
Alessandro Giovannelli +2 more
wiley +1 more source
Multivariate Gas Sensor E-Nose System with PARAFAC and Machine Learning Modeling for Quantifying and Classifying the Impact of Fishing Gears. [PDF]
Sensors (Basel)Silva-Alvarado VL, Lloret J.
europepmc +1 more source
Measure‐valued processes for energy markets
Mathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero +3 more
wiley +1 more source
The low sidelobe level high-gain adaptive beamforming method for uniform subarrays. [PDF]
Sci RepDu Y, Cui W, Ba B, Su G, Zhang L.
europepmc +1 more source
The Natural Components of a Regular Linear System
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT The analysis of a finite‐dimensional regular linear system may be simplified by separating the system into its natural components. The natural components are smaller linear systems on separate subspaces whose dimensions sum to the dimension of the original linear system.
Brendan K. Beare, Phil Howlett
wiley +1 more source
Convex Hartree-Fock theory for modeling ground state conical intersections. [PDF]
Commun ChemRossi F, Koch H.
europepmc +1 more source
Inference on the Attractor Space via Functional Approximation
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT This paper discusses semiparametric inference on hypotheses on the cointegration and the attractor spaces for I(1)$$ I(1) $$ linear processes with moderately large cross‐sectional dimension. The approach is based on sample canonical correlations and functional approximation of Brownian motions, and it can be applied both to the whole system ...
Massimo Franchi, Paolo Paruolo
wiley +1 more source
High-Resolution Brain Metabolic Imaging at Ultrahigh Field Using Extended Spatiospectral Encoding and Subspace Modeling. [PDF]
IEEE Trans Biomed EngGuo R +14 more
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A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
Obesity Reviews, EarlyView.ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
Enhancing unsupervised bearing fault diagnosis through structured prediction in latent subspace. [PDF]
Sci RepLiu C, Hu R, Fang X, Luo W, Zhu C.
europepmc +1 more source