Results 141 to 150 of about 291,412 (338)
Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows [PDF]
We introduce a regression-based gravity model for commodity flows between 35 regions in Austria. We incorporate information regarding the highway network into the spatial connectivity structure of the spatial autoregressive econometric model.
LeSage, James P., Polasek, Wolfgang
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Epilepsia, EarlyView.Abstract Objective Epilepsy is a chronic neurological disorder characterized by recurrent seizures and frequent cognitive and psychiatric comorbidities. Although current antiseizure medications provide symptomatic relief, they fail to prevent or modify epileptogenesis.
Yara Sheeni +8 more
wiley +1 more source
Model Uncertainty and Bayesian Model Averaging in Vector Autoregressive Processes [PDF]
Economic forecasts and policy decisions are often informed by empirical analysis based on econometric models. However, inference based upon a single model, when several viable models exist, limits its usefulness.
Herman K. van Dijk, Rodney W. Strachan
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NEARLY EFFICIENT LIKELIHOOD RATIO TESTS OF A UNIT ROOT IN AN AUTOREGRESSIVE MODEL OF ARBITRARY ORDER [PDF]
, 2022 Samuel Brien +2 more
openalex +1 more source
A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants
Energy Science &Engineering, EarlyView.A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei +2 more
wiley +1 more source
Bootstrapping unit root AR(1) models. [PDF]
We propose abootstrap resampling scheme for the least squares estimator of the parameter of an unstable first-order autoregressive model and we prove its asymptotic validity. This method is alternative to the invalid one studied by Basawa et al.
Ferretti, Nélida, Romo, Juan
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Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, EarlyView.Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors. [PDF]
Neuroimage, 2023 Nagle A +7 more
europepmc +1 more source
The conditional autoregressive wishart model for multivariate stock market volatility [PDF]
We propose a Conditional Autoregressive Wishart (CAW) model for the analysis of realized covariance matrices of asset returns. Our model assumes a generalized linear autoregressive moving average structure for the scale matrix of the Wishart distribution
Golosnoy, Vasyl +2 more
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