Results 81 to 90 of about 262 (135)
Lower-Limb Motor Imagery Recognition Prototype Based on EEG Acquisition, Filtering, and Machine Learning-Based Pattern Detection. [PDF]
Moreno-Castelblanco SR +2 more
europepmc +1 more source
Anthropogenic Influences on Atmospheric CO2
We identify anthropogenic contributions to atmospheric CO2 measured at Mauna Loa using a statistical automatic model selection algorithm (Autometrics). We find that vegetation, temperature and other natural factors alone cannot explain the trend or the ...
Felix Pretis, David Hendry
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Automated financial multi-path GETS modelling [PDF]
General-to-Specific (GETS) modelling has witnessed major advances over the last decade thanks to the automation of multi-path GETS specification search. However, several scholars have argued that the estimation complexity associated with financial models
Alvaro Escribano, Genaro Sucarrat
core
Automated model selection in finance: General-to-specic modelling of the mean and volatility specications [PDF]
General-to-Specific (GETS) modelling has witnessed major advances over the last decade thanks to the automation of multi-path GETS specification search. However, several scholars have argued that the estimation complexity associated with financial models
Alvaro Escribano, Genaro Sucarrat
core
O presente estudo tem como objetivo comparar e combinar diferentes técnicas de projeção para o PIB trimestral brasileiro de 1991 ao segundo trimestre de 2014, utilizando dados agregados, e dados desagregados com pesos fixos e estocásticos.
Souza, Rafael Keiti Oiski Grunho de
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Multi-sector inflation forecasting - quarterly models for South Africa. [PDF]
Inflation is a far from homogeneous phenomenon, a fact often neglected in modeling consumer price inflation. Using a novel methodology grounded in theory, the ten sub-components of the consumer price index (excluding mortgage interest rates), are modeled
John Muellbauer, Janine Aron
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Econometric Modelling of Changing Time Series
We model expenditure on food in the USA, using an extended time series. Even when a theory is essentially 'correct', it can manifest serious mis-specification if just fitted to data, ignoring its observed characteristics and major external events such ...
Grayham E. Mizon, David Hendry
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Este trabalho investiga se o uso de uma série agregada, desagregada ou a combinação de ambas, melhora a previsão da série agregada. Utilizam-se técnicas econométricas, como o operador de seleção e o algoritmo Autometrics, para prever a primeira diferença
Magalhães, Márcio Murilo Ferreira
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