Quantile Forecasting
Quantile Forecasting is a probabilistic forecasting method that estimates specific quantiles of the predictive distribution, distinguishing itself by providing point estimates for predetermined levels of the cumulative distribution rather than a full density or single expected value.
509
Publications
32.4K
Citations
1.2K
Authors
727
Institutions
Publications per year
2017–2026
322
509
Caroline K. Carrico, Chris Gennings, David C. Wheeler et al. · Journal of Agricultural Biological and Environmental Statistics · 2014 · 1.3K citations · Full text
Business, Biostatistics, Finance +14
Can volume predict Bitcoin returns and volatility? A quantiles-based approach
Mehmet Balcılar, Elie Bouri, Rangan Gupta et al. · Economic Modelling · 2017 · 717 citations
1–5 of 509
1.2K
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Massachusetts Institute of Technology, United States
7 publications · 282 citations
7
h-index
7
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1–5 of 1.2K
727
Lebanese American University
Beirut, Lebanon
15 h-index
21 publications
1.4K citations

Hefei University of Technology
Hefei, China
13 h-index
33 publications
2.1K citations

Huazhong University of Science and Technology
Wuhan, China
9 h-index
14 publications
927 citations

Qingdao University
Qingdao, China
9 h-index
21 publications
1K citations
Technical University of Denmark
Kongens Lyngby, Denmark
9 h-index
22 publications
2.9K citations

University of Pretoria
Pretoria, South Africa
8 h-index
9 publications
2.5K citations
Tsinghua University
Beijing, China
8 h-index
11 publications
1.6K citations

University of Essex
Colchester, United Kingdom
8 h-index
8 publications
662 citations
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18 publications · 972 citations
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15 publications · 878 citations
13
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14 publications · 884 citations
13
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11 publications · 1.5K citations
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12 publications · 340 citations
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