Decision-theoretic forecasting in business and macroeconomic applications: properties, models, methods of testing and practical recommendations
2017/27/B/HS4/01025
Keywords
Descriptors
- HS4_3: Ekonometria i metody statystyczne
Panel
HS4 – Individuals, institutions, markets: economics, finance, management, demography, social and economic geography, urban studies
Host institution
Uniwersytet Mikołaja Kopernika, Wydział Nauk Ekonomicznych i Zarządzania
Voivodeship: kujawsko-pomorskie
Principal investigator (from the host institution)
Number of co-investigators in the project: 2
Call
OPUS 14 – announced on 2017-09-15
- Amount awarded
- 164 400 PLN
- Project start date
- 2018-07-13
- Project end date
- 2022-07-12
- Project duration
- 48 months (the same as in the proposal)
- Project status
- Project settled
Project description
Download the project description in a pdf file
Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
Publication in academic press/journals (4)
-
Data-Driven Inventory Forecasting in Base Stock Systems with Fill Rate Constraints
- Authors:
- Joanna Bruzda, Babak Abbasi
- Academic press:
- Decision Sciences Journal (year: 2024, volume: Early View, pages: 1-15Early View), Publisher: Wiley
- Status:
- Published
- DOI:
- 10.1111/deci.12644 – link to the publication
-
Optimal Operational Service Levels in Vendor Managed Inventory Contracts - An Exact Approach
- Authors:
- Babak Abbasi, Joanna Bruzda, Nages Gavirneni
- Academic press:
- Operations Research Letters (year: 2022, volume: 50, pages: 610-617), Publisher: Elsevier
- Status:
- Published
- DOI:
- 10.1016/j.orl.2022.08.007 – link to the publication
-
Demand forecasting under fill rate constraints—The case of re-order points
- Authors:
- Joanna Bruzda
- Academic press:
- International Journal of Forecasting (year: 2020, volume: 36, pages: 1342-1361), Publisher: Elsevier
- Status:
- Published
- DOI:
- 10.1016/j.ijforecast.2020.01.007 – link to the publication
-
The wavelet scaling approach to forecasting: Verification on a large set of noisy data
- Authors:
- Joanna Bruzda
- Academic press:
- Journal of Forecasting (year: 2020, volume: 39, pages: 353-367), Publisher: Wiley
- Status:
- Published
- DOI:
- 10.1002/for.2634 – link to the publication