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Bayesian averaging of classical estimates in forecasting macroeconomic indicators with application of business survey data

Białowolski, Piotr; Kuszewski, Tomasz; Witkowski, Bartosz - In: Empirica : journal of european economics 41 (2014) 1, pp. 53-68

Persistent link: https://www.econbiz.de/10010437231

Forecasting with Bayesian global vector autoregressive models : a comparison of priors

Crespo Cuaresma, Jesús; Feldkircher, Martin; Huber, Florian - 2013 - This version: November 2013

This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vec-tor autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...

Persistent link: https://www.econbiz.de/10011505823

Using Bayesian networks to forecast spares demand from equipment failures in a changing service logistics context

Boutselis, Petros; McNaught, K. R. - In: International journal of production economics 209 (2019), pp. 325-333

Persistent link: https://www.econbiz.de/10012013370

Nowcasting "true" monthly U.S. GDP during the pandemic

Koop, Gary; McIntyre, Stuart; Mitchell, James; Poon, Aubrey - In: National Institute economic review : journal of the … 256 (2021), pp. 44-70

Persistent link: https://www.econbiz.de/10012593671

Inter-market sentiment analysis using Markov switching Bayesian VAR analysis

Ebrahimijam, Saeed; Adaoglu, Cahit; Gokmenoglu, Korhan K. - In: Regulation of Finance and Accounting : 21st and 22nd …, (pp. 73-84). 2022

Persistent link: https://www.econbiz.de/10013448478

Workload forecasting of a logistic node using Bayesian neural networks

Nakilcioğlu, Emin Çağatay; Rizvanolli, Anisa; … - In: Changing tides : the new role of resilience and …, (pp. 237-264). 2022

Purpose: Traffic volume in empty container depots has been highly volatile due to external factors. Forecasting the expected container truck traffic along with having a dynamic module to foresee the future workload plays a critical role in improving the work efficiency. This paper studies the...