Pakistan CO2 Emission Modelling and Forecasting: A Linear and Nonlinear Time Series Approach. [PDF]
J Environ Public Health, 2023 Tawiah K, Daniyal M, Qureshi M.
europepmc +1 more source
Semiparametric Regression Estimation in Null Recurrent Nonlinear Time Series [PDF]
Estimation theory in a nonstationary environment has been very popular in recent years. Existing studies focus on nonstationarity in parametric linear, parametric nonlinear and nonparametric nonlinear models. In this paper, we consider a partially linear
Jia Chen, Jiti Gao, Degui Li
core
Unexpected Asymmetric Mn‐Sb Site Mixing and Reentrant Spin‐Glass State of MnSb2Te4
Advanced Functional Materials, EarlyView.MnSb2Te4 is an intrinsic magnetic topological insulator. Its properties are extraordinarily sensitive to tiny defects, making structural studies essential for understanding how magnetism and topology work together. This work shows that Mn can be unevenly distributed within the crystal and how that disorder is linked to a newly reported spin‐glass state
Gustavo Chavez Ponce de Leon +7 more
wiley +1 more source
Nonlinear time-series forecasts for decision support: short-term demand for ICU beds in Santiago, Chile, during the 2021 COVID-19 pandemic. [PDF]
Int Trans Oper Res, 2022 Quiroga BF, Vásquez C, Vicuña MI.
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Recurrence Plots in Nonlinear Time Series Analysis: Free Software [PDF]
Recurrence plots are graphical devices specially suited to detect hidden dynamical patterns and nonlinearities in data. However, there are few programs available to apply such a mehodology.
Dulce Contreras, Jorge Belaire-Franch
core
Multi-step learning rule for recurrent neural models: an application to time series forecasting [PDF]
, 2001 Multi-step prediction is a difficult task that has attracted increasing interest in recent years. It tries to achieve predictions several steps ahead into the future starting from current information.
Galván, Inés M. +3 more
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Advanced Functional Materials, EarlyView.Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park +7 more
wiley +1 more source
A Nonlinear Time-Series Analysis to Identify the Thresholds in Relationships Between Antimicrobial Consumption and Resistance in a Chinese Tertiary Hospital. [PDF]
Infect Dis Ther, 2022 Chen S +11 more
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Optimal Instruments in Time Series: A Survey [PDF]
This article surveys estimation in stationary time series models using the approach of optimal instrumentation. We review tools that allow construction and implementation of optimal instrumental variables estimators in various circumstances { in single ...
Stanislav Anatolyev
core
Advanced Functional Materials, EarlyView.Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source