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Analyse und Prognose von Zeitreihen mit neuronalen Netzen

Thiesing, Frank M. - 1998 - Als Ms. gedr

Persistent link: https://www.econbiz.de/10000991312

Forecasting Brazilian mortality rates due to occupational accidents using autoregressive moving average approaches

Melchior, Cristiane; Zanini, Roselaine Ruviaro; Guerra, … - In: International journal of forecasting 37 (2021) 2, pp. 825-837

Persistent link: https://www.econbiz.de/10012792872

Functional kriging prediction of pollution series : the geostatistical alternative for spatially-fixed data

Montero, José-María; Fernández-Avilés, Gema - In: Estudios de economía aplicada : revista promovida por … 33 (2015) 1, pp. 145-173

Persistent link: https://www.econbiz.de/10010515787

Forecasting of CO2 emissions in Iran based on time series and regression analysis

Hosseini, Seyed Mohsen; Saifoddin, Amirali; … - In: Energy reports 5 (2019), pp. 619-631

Germany in terms of CO2 emissions. However, from an economic viewpoint, the gross domestic product (GDP) of Iran is lower than …

Persistent link: https://www.econbiz.de/10012020020

Modeling and forecasting carbon dioxide emission allowance spot price volatility : multifractal vs. GARCH-type volatility models

Segnon, Mawuli; Lux, Thomas; Gupta, Rangan - 2015

This paper applies Markov-switching multifractal (MSM) processes to model and forecast carbon dioxide (CO2) emission price volatility, and compares their forecasting performance to the standard GARCH, fractionally integrated GARCH (FIGARCH) and the two-state Markov-switching GARCH (MS-GARCH)...

Persistent link: https://www.econbiz.de/10011296114

Forecasting of a hierarchical functional time series on example of macromodel for the day and night air pollution in Silesia region : a critical overview

Kosiorowski, Daniel; Mielczarek, Dominik; Rydlewski, … - In: Central European journal of economic modelling and … 10 (2018) 1, pp. 53-73

Persistent link: https://www.econbiz.de/10011918128

Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors

Bennedsen, Mikkel; Hillebrand, Eric; Koopman, Siem Jan - 2019

Persistent link: https://www.econbiz.de/10012316908

Forecasting European Union CO2 emissions using autoregressive integrated moving average-autoregressive conditional heteroscedasticity models

Dritsaki, Melina; Dritsaki, Chaido - In: International Journal of Energy Economics and Policy : IJEEP 10 (2020) 4, pp. 411-423

Persistent link: https://www.econbiz.de/10012504221

Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors

Bennedsen, Mikkel; Hillebrand, Eric; Koopman, Siem Jan - In: Energy economics 96 (2021), pp. 1-17

Persistent link: https://www.econbiz.de/10012818590

Air quality management using genetic algorithm based heuristic fuzzy time series model

Bhagat, Lalit; Goyal, Gunjan; Bisht, Dinesh C. S.; Ram, … - In: The TQM journal : the international review of … 35 (2023) 1, pp. 320-333

Persistent link: https://www.econbiz.de/10014321185

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