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3. Exchange rate as a shock absorber in Poland and Slovakia: Evidence from Bayesian SVAR models with common serial correlation. (2016). Wróblewska, Justyna ; Dąbrowski, Marek ; Wroblewska, Justyna ; Dbrowski, Marek A.
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1. Testing for the cointegration rank between Periodically Integrated processes. (2022). del Barrio Castro, Tomás.
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2. On cointegration for processes integrated at different frequencies. (2022). del Barrio Castro, Tomás ; Cubadda, Gianluca ; Osborn, Denise R.
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3. Testing for the cointegration rank between Periodically Integrated processes. (2021). del Barrio, Tomas.
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4. Testing for the cointegration rank between Periodically Integrated processes. (2021). del Barrio Castro, Tomás.
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5. On cointegration for processes integrated at different frequencies. (2020). del Barrio Castro, Tomás ; Cubadda, Gianluca ; Osborn, Denise R ; Cubada, Ginaluca.
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8. Data-based mechanistic modelling and forecasting globally averaged surface temperature. (2018). Young, Peter C.
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11. Times Series: Cointegration. (2014). Johansen, Soren.
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12. Stock index forecasting based on a hybrid model. (2012). Wang, Jian-Zhou ; Zhang, Zhe-George ; Guo, Shu-Po .
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24. Tests of seasonal integration and cointegration in multivariate unobserved component models. (2004). Busetti, Fabio.
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25. Naive, ARIMA, nonparametric, transfer function and VAR models: A comparison of forecasting performance. (2004). Thomakos, Dimitrios ; Guerard, John Jr., .
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37. Complex Reduced Rank Models for Seasonally Cointegrated Time Series. (2000). Cubadda, Gianluca.
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