Bayesian Cost Forecasting
Bayesian Cost Forecasting is a probabilistic forecasting method that integrates prior knowledge and observed data within a Bayesian statistical framework to estimate future costs, distinguishing itself from classical approaches by explicitly accounting for uncertainty and updating predictions as new evidence becomes available.
10
Publications
568
Citations
22
Authors
14
Institutions
Publications per year
2017–2026
1
Parents
10
1–5 of 10
22
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 22
14
Ohio University
Athens, United States
2 h-index
3 publications
188 citations

Hohai University
Nanjing, China
1 h-index
1 publications
15 citations
Marathon Oil (United States)
Houston, United States
1 h-index
2 publications
156 citations

University of Leicester
Leicester, United Kingdom
1 h-index
4 publications
208 citations

UNSW Sydney
Sydney, Australia
1 h-index
1 publications
15 citations
West China Medical Center of Sichuan University
Chengdu, China
1 h-index
1 publications
31 citations
Aalto University
Espoo, Finland
1 h-index
3 publications
252 citations
Politecnico di Milano
Milan, Italy
1 h-index
1 publications
58 citations
1–8 of 14
1 publications · 78 citations
1
h-index
1 publications · 84 citations
1
h-index
1 publications · 44 citations
1
h-index
1 publications · 58 citations
1
h-index
1 publications · 52 citations
1
h-index
1–5