Causal Demand Forecasting
Causal Demand Forecasting is a demand forecasting method that identifies and models cause-and-effect relationships between demand and underlying explanatory variables to improve prediction accuracy.
12
Publications
575
Citations
25
Authors
19
Institutions
Publications per year
2017–2026
4
Parents
12
Data source combination for tourism demand forecasting
Mingming Hu, Haiyan Song · Tourism Economics · 2019 · 64 citations · Full text
1–5 of 12
25
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 25
19
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
68 citations

University of South Australia
Adelaide, Australia
2 h-index
2 publications
68 citations
Vienna University of Economics and Business
Vienna, Austria
1 h-index
2 publications
314 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
2 publications
128 citations
AT&T (United States)
Bedminster, United States
1 h-index
3 publications
30 citations
Arizona State University
Tempe, United States
1 h-index
3 publications
30 citations

Universidade de Vigo
Vigo, Spain
1 h-index
1 publications
68 citations

University of Bergamo
Bergamo, Italy
1 h-index
1 publications
32 citations
1–8 of 19
2 publications · 132 citations
2
h-index
2 publications · 189 citations
2
h-index
Repository · 1 publications · 28 citations
1
h-index
1 publications · 57 citations
1
h-index
Repository · 1 publications · 40 citations
1
h-index
1–5