Results 11 to 20 of about 4,093 (257)
On model fitting and estimation of strictly stationary processes
Modern Stochastics: Theory and Applications, 2017 Stationary processes have been extensively studied in the literature. Their applications include modeling and forecasting numerous real life phenomena such as natural disasters, sales and market movements.
Marko Voutilainen +2 more
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Estimation of ARMA Model Order via Artificial Neural Network for Modeling Physiological Systems
IEEE Access, 2020 Model order estimation is the most important but challenging step for system identification using an autoregressive moving average (ARMA) model. In this paper, we propose an artificial neural network (ANN) structure to estimate the best model order for ...
Md-Billal Hossain +2 more
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MOTION ARTIFACT REDUCTION IN FUNCTIONAL NEAR INFRARED SPECTROSCOPY SIGNALS BY AUTOREGRESSIVE MOVING AVERAGE MODELING BASED KALMAN FILTERING [PDF]
Journal of Innovative Optical Health Sciences, 2013 Functional near infrared spectroscopy (fNIRS) is a technique that is used for noninvasive measurement of the oxyhemoglobin (HbO2) and deoxyhemoglobin (HHb) concentrations in the brain tissue.
MEHDI AMIAN, S. KAMALEDIN SETAREHDAN
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Sensors, 2021 Environmental agencies are interested in relating mortality to pollutants and possible environmental contributors such as temperature. The Gaussianity assumption is often violated when modeling this relationship due to asymmetry and then other regression
Helton Saulo +4 more
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Estimation of the parameters of symmetric stable ARMA and ARMA–GARCH models [PDF]
Journal of Applied Statistics, 2021 In this article, we first propose the modified Hannan-Rissanen Method for estimating the parameters of the autoregressive moving average (ARMA) process with symmetric stable noise and symmetric stable generalized autoregressive conditional heteroskedastic (GARCH) noise.
Sathe, Aastha M., Upadhye, N. S.
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Forecasting, 2023 The adequate modeling and estimation of solar radiation plays a vital role in designing solar energy applications. In fact, unnecessary environmental changes result in several problems with the components of solar photovoltaic and affects the energy ...
Brahim Belmahdi +3 more
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Predictive Modeling for Forecasting Air Quality Index (AQI) Using Time Series Analysis [PDF]
Avicenna Journal of Environmental Health Engineering, 2023 Air pollution is a widespread problem in India. The study focuses on forecasting the air quality index (AQI) using time series modeling techniques for the most polluted area of Dehradun City in Uttarakhand state, India. The train test approach of machine
Alka Pant +3 more
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A Finite Mixture GARCH Approach with EM Algorithm for Energy Forecasting Applications
Energies, 2021 Enhancing forecasting performance in terms of both the expected mean value and variance has been a critical challenging issue for energy industry.
Yang Zhang +4 more
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Sensors, 2020 Recent advances in sensor technologies and data acquisition systems opened up the era of big data in the field of structural health monitoring (SHM).
Alireza Entezami +3 more
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Modeling and Forecasting of Rainfall Time Series. A Case Study for Pakistan
International Journal of Economic and Environment Geology, 2022 The change of weather conditions is considered as the major problem, particularly for developing country like Pakistan. Machine learning and artificial neural network models have become attractive forecast techniques for ...
Tayyab Raza Faraz
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