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Robust parameter design based on Gaussian process with model uncertainty

Feng, Zebiao; Wang, Jianjun; Ma, Yizhong; Tu, Yiliu - In: International journal of production research 59 (2021) 9, pp. 2772-2788

Persistent link: https://www.econbiz.de/10012516258

Bayesian comparison of production function-based and time-series GDP models

Osiewalski, Jacek; Wróblewska, Justyna; Makieła, Kamil - In: Empirical economics : a journal of the Institute for … 58 (2020) 3, pp. 1355-1380

Persistent link: https://www.econbiz.de/10012219593

A robust Bayesian approach for unit root testing

Conigliani, Caterina; Spezzaferri, Fulvio - In: Econometric theory 23 (2007) 3, pp. 440-463

Persistent link: https://www.econbiz.de/10003541250

Robustness analysis of naı̈ve Bayesian classifier-based collaborative filtering

Kaleli, Cihan; Polat, Huseyin - In: E-commerce and web technologies : 14th international …, (pp. 202-209). 2013

Persistent link: https://www.econbiz.de/10010233384

Forecasting time-varying covariance with a robust Bayesian threshold model

Wu, Chih-chiang; Lee, Jack C. - In: Journal of forecasting 30 (2011) 5, pp. 451-468

Persistent link: https://www.econbiz.de/10009354721

A robust Bayesian dynamic linear model for Latin-American economic time series : "the Mexico and Puerto Rico cases"

Fúquene, Jairo; Álvarez, Marta; Pericchi, Luis R. - In: Latin American economic review : LAER ; official … 24 (2015), pp. 1-17

The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity. On the other hand, robust Bayesian dynamic models (RBDMs) do not assume a regular pattern or stability of the underlying system but can include points of statement breaks. In...

Persistent link: https://www.econbiz.de/10011885537