Results 121 to 130 of about 18,244,857 (290)
Comparing Short-Term Univariate and Multivariate Time-Series Forecasting Models in Infectious Disease Outbreak. [PDF]
Bull Math Biol, 2022 Assad DBN, Cara J, Ortega-Mier M.
europepmc +1 more source
Conformal multistep-ahead multivariate time-series forecasting
Machine LearningAbstract Time-series forecasts underpin decision-making processes in a wide range of application domains. Recently it has been shown that these processes can be strengthened by conformal prediction, a framework that allows adding prediction intervals to point forecasts.
Filip Schlembach +3 more
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VARMA versus VAR for Macroeconomic Forecasting [PDF]
In this paper, we argue that there is no compelling reason for restricting the class of multivariate models considered for macroeconomic forecasting to VARs given the recent advances in VARMA modelling methodology and improvements in computing power.
Farshid Vahid, George Athanasopoulos
core
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
Advanced Science, EarlyView.This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
A Novel Encoder-Decoder Model for Multivariate Time Series Forecasting. [PDF]
Comput Intell Neurosci, 2022 Zhang H, Li S, Chen Y, Dai J, Yi Y.
europepmc +1 more source
ChronoTab: Forecasting Multivariate Time Series with Tabular LLMs
2025 IEEE 41st International Conference on Data Engineering Workshops (ICDEW)Forecasting future values in multivariate time series is a critical challenge in many application domains, such as agriculture, transportation, energy, etc. Recently, Large Language Models (LLMs) have been used for time series analysis tasks. However, they are typically limited to handling univariate time series, since their input has the form of a ...
Zeakis, Alexandros +3 more
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Interleukin‐39 is a Prognostic Biomarker and Therapy Target for Sepsis
Advanced Science, EarlyView.Sepsis triggers a significant increase in IL‐39 production, with circulating levels markedly elevated and positively correlated with disease severity and poor clinical prognosis in sepsis patients. Mechanistically, macrophage‐derived IL‐39 activates the GP130 signaling pathway via a ligand‐receptor interaction, thereby fueling the pro‐inflammatory ...
Feng‐zhi Zhang +9 more
wiley +1 more source
Time Series Foundation Models for Multivariate Financial Time Series Forecasting
66 ...
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Forecasting time series with complex seasonal patterns using exponential smoothing [PDF]
A new innovations state space modeling framework, incorporating Box-Cox transformations, Fourier series with time varying coefficients and ARMA error correction, is introduced for forecasting complex seasonal time series that cannot be handled using ...
Alysha M De Livera, Rob J Hyndman
core
Advanced Science, EarlyView.Main Raman signals in RNA, related to helical backbone, ribofuranose ring, and nitrogenous bases, are affected by secondary structures that cause hyperchromic effects and significantly alter the Raman intensity. ABSTRACT Raman spectra of RNA nucleotide strands extracted from 20 SARS‐CoV‐2 strains, including the original Japanese isolate, Alpha, Beta ...
Giuseppe Pezzotti +11 more
wiley +1 more source