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Forecast failure, expectations formation and the Lucas critique

Hendry, David F. - In: Annales d'économie et de statistique (2002), pp. 21-40

Persistent link: https://www.econbiz.de/10001773536

Model uncertainty, the Lucas Critique and robustness in a core inflation model

Kemball-Cook, David; Levine, Paul - 1989

Persistent link: https://www.econbiz.de/10000127591

Modeling and forecasting percent changes in national park visitation using social media

Goebel, Russell; Schmaltz, Austin; Brackett, Beth Ann; … - In: Journal of forecasting 42 (2023) 6, pp. 1502-1518

Persistent link: https://www.econbiz.de/10014338945

A comparative study of static and iterative models of ARIMA and SVR to predict stock indices prices in developed and emerging economies

Beniwal, Mohit; Archana Singh; Kumar, Nand - In: International journal of applied management science : IJAMS 15 (2023) 4, pp. 352-371

Persistent link: https://www.econbiz.de/10014391724

Forecasting the total non-coincidental monthly system peak demand in the Philippines : a comparison of seasonal autoregressive integrated moving average models and artificial neural networks

Parreno, Samuel John - In: International Journal of Energy Economics and Policy : IJEEP 13 (2023) 5, pp. 544-552

Persistent link: https://www.econbiz.de/10014384462

Reflecting on the contributions of Professor Tsionas in time series analysis, asset price modelling, and forecasting

Mamatzakis, Emmanuel C. - In: Tourism economics : the business and finance of tourism … 31 (2025) 1, pp. 14-23

Persistent link: https://www.econbiz.de/10015191911

Forecasting cryptocurrencies log-returns : a LASSO-VAR and sentiment approach

Ciganovic, Milos; D'Amario, Federico - In: Applied economics 56 (2024) 58, pp. 8112-8138

Persistent link: https://www.econbiz.de/10015135278

Optimal spatiotemporal prediction of karstwater levels

Berke, Olaf - 1999

In many fields of applied statistics samples from several locations in an investigation area are taken repeatedly over time. Especially in environmental monitoring the chemical and physical conditions in water, air and soil are measured using fixed and possibly mobile monitoring stations. The...

Persistent link: https://www.econbiz.de/10009793268

Filtering the noise from time series and spatial data

Berke, Olaf - 1998

Noisy observations form the basis for almost every scientific research and especially in environmental monitoring. The Noise is often an effect of imprecise instruments which cause measurement errors. If the noise variance is known it is possible to filter out the contaminating noise from the...

Persistent link: https://www.econbiz.de/10010467710

Research note: Forecasting film-induced tourism : the Dolphin Tale case

Corton, Maria Luisa; Ebrahimpour, Maling - In: Tourism economics : the business and finance of tourism … 20 (2014) 6, pp. 1349-1356

Persistent link: https://www.econbiz.de/10010509233