Results 11 to 20 of about 23,659 (294)
VAR, SVAR and SVEC Models: Implementation Within R Package vars
The structure of the package vars and its implementation of vector autoregressive, structural vector autoregressive and structural vector error correction models are explained in this paper.
Bernhard Pfaff
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Improving forecasts, particularly the accuracy, efficiency, and precision of time-series forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of the Coronavirus disease.
Abdul Aziz K Abdul Hamid +9 more
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Electricity Load and Internet Traffic Forecasting Using Vector Autoregressive Models
This study was conducted to investigate the applicability of measuring internet traffic as an input of short-term electricity demand forecasts. We believe our study makes a significant contribution to the literature, especially in short-term load ...
Yunsun Kim, Sahm Kim
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Modelling and forecasting art movements with CGANs [PDF]
Conditional generative adversarial networks (CGANs) are a recent and popular method for generating samples from a probability distribution conditioned on latent information.
Edoardo Lisi +4 more
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Modeling mortality with a Bayesian vector autoregression [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Njenga, Carolyn, Sherris, Michael
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Vector autoregressive models: A Gini approach [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mussard, Stéphane, Ndiaye, Oumar Hamady
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Forecasting sugar sales at the Mosul factory using the Akaike standard [PDF]
: In this paper we display and compare several multivariate models for some multiple time series data. The models all come from the vector autoregressive moving average class so that comparisons between them can easily be made using criteria such as ...
Manahil Abdel Ahad
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Bernoulli vector autoregressive model
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carolina Euán, Ying Sun 0002
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Projection of Post-Pandemic Italian Industrial Production through Vector AutoRegressive Models
Energy system models for the analysis of future scenarios are mainly driven by the set of energy service demands that define the broad outlines of socio-economic development throughout the model time horizon.
Antonio Oliva +4 more
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