Results 51 to 60 of about 3,334 (209)

Ecological examples of nonstationarity, nonlinearity and statistical interactions in dynamic structural equation models

Methods in Ecology and Evolution
Ecologists are adapting structural causal modelling for spatial, phylogenetic and time‐series analysis. However, ecological extensions of path analysis and structural equation models (SEM) typically assume that interactions among variables are stationary,
James T. Thorson, Kasper Kristensen
doaj   +1 more source

Data-Driven Incipient Fault Prediction for Non-Stationary and Non-Linear Rotating Systems: Methodology, Model Construction and Application

IEEE Access, 2020
Many researches have been carried out on incipient fault prediction technology for key machine components (such as bearings) based on historical and real-time condition monitoring data.
Qingfeng Wang, Bingkun Wei, Jiahe Liu, Wensheng Ma   +3 more
doaj   +1 more source

Remaining Useful Life Prediction of Photovoltaic Modules Based on Kalman Filter and Variational Inference

Energy Science &Engineering, EarlyView.
A rolling local inference framework integrates Kalman filtering, RTS smoothing, variational parameter estimation, and first‐passage‐time analysis for probabilistic remaining useful life prediction of photovoltaic modules. The framework provides stage‐dependent RUL estimates with prediction intervals while explicitly characterizing degradation ...
Wei Chen, Ao Wang, Tingting Pei, Yang Wu
wiley   +1 more source

Explainable and Uncertainty‐Aware Neural Modeling of Industrial CO2 Emissions With Economic, Energy, and Institutional Interaction Dynamics

Energy Science &Engineering, EarlyView.
A global panel of 5138 country–year observations from 165 countries (1990–2024) integrates industrial CO2 emissions, economic structure, renewable‐energy use, and institutional indicators. A dual‐input neural network combines engineered numeric features with learned country embeddings to forecast industrial CO2 emissions under rolling‐origin temporal ...
Syed Azeem Inam, Saddam Umer, Hashir Shaikh, Amal K. Alkhalifa   +3 more
wiley   +1 more source

Existence of Solutions to the Nonstationary Stokes System with a Nonlinear Overdetermination Condition

Mathematics
In this paper, we study an inverse problem for the nonstationary Stokes system in a bounded domain Ω with a nonlinear integral overdetermination condition, describing the kinetic energy E(t) of the fluid. We construct two classes of solutions: weak and very weak.
Bačianskas, Vytautas, Kaulakytė, Kristina   +1 more
openaire   +2 more sources

Nonstationary Random Vibration of a Nonlinear System with Collision

Bulletin of JSME, 1979
This paper deals with the response of a nonlinear system with collision subjected to a stationary random excitation. The system consists of an oscillator and reflectors at both sides. Various stochastic properties of the response are determined analytically, including the joint probability density function and the root-mean-square values for the ...
FUJITA, Takafumi, HATTORI, Shinobu
openaire   +5 more sources

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

A Simulation-Based Modified Singular Spectrum Analysis Framework for Signal Extraction and the Exploration of Structured Nonlinear Temporal Behaviour

Stats
Distinguishingstructured nonlinear temporal behaviour from stochastic variability remains a fundamental challenge in the analysis of noisy and nonstationary time series, particularly when conventional nonlinear methods are sensitive to noise and finite ...
Nader Alharbi
doaj   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

Finite-Time Stability of a Class of Nonstationary Nonlinear Fractional Order Time Delay Systems: New Gronwall–Bellman Inequality Approach

Mathematics
This paper aims to analyze finite-time stability (FTS) for a class of nonstationary nonlinear two-term fractional-order time-delay systems with α,β∈0,2. Using a new type of generalized Gronwall–Bellman inequality, we derive new FTS stability criteria for
Mihailo P. Lazarević, Stjepko Pišl, Darko Radojević   +2 more
doaj   +1 more source