Bayesian Demand Forecasting
Bayesian Demand Forecasting is a probabilistic forecasting method that integrates prior demand knowledge and observed data through Bayesian inference to dynamically update demand predictions and quantify uncertainty in demand estimation.
52
Publications
2.5K
Citations
149
Authors
85
Institutions
Publications per year
2017–2026
17
Parents
52
Bayesian models for tourism demand forecasting
Kevin Wong, Haiyan Song, Kaye Chon · Tourism Management · 2005 · 111 citations
1–5 of 52
149
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International Institute for Applied Systems Analysis, Austria
2 publications · 48 citations
2
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2
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1–5 of 149
85

Xi'an Jiaotong University
Xi'an, China
3 h-index
7 publications
134 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
120 citations
Stanford University
Stanford, United States
2 h-index
3 publications
320 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
150 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
8 publications
432 citations
Columbia University
New York, United States
2 h-index
2 publications
222 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
4 publications
360 citations

Shaanxi Normal University
Xi'an, China
2 h-index
7 publications
156 citations
1–8 of 85
4 publications · 553 citations
4
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2 publications · 91 citations
2
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2 publications · 48 citations
2
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2 publications · 237 citations
2
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1 publications · 235 citations
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