Probability Gain Analysis
Probability Gain Analysis is a methodological framework in seismological forecasting that quantifies the improvement in earthquake prediction accuracy by comparing the conditional probability of seismic events given a precursor to the background probability of such events in its absence, thereby differentiating it from general probabilistic models through its focus on incremental predictive power.
17
Publications
541
Citations
48
Authors
30
Institutions
Publications per year
2017–2026
6
Parents
17
Fabian Single, Holger Cartarius, Günter Wunner et al. · Physical Review A · 2014 · 45 citations · Full text
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National Research Institute for Earth Science and Disaster Resilience, Japan
2 publications · 35 citations
2
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2
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1–5 of 48
30
The Institute of Statistical Mathematics
Tokyo, Japan
3 h-index
3 publications
94 citations

Southern University of Science and Technology
Shenzhen, China
3 h-index
9 publications
261 citations
National Research Institute for Earth Science and Disaster Resilience
Tsukuba, Japan
2 h-index
2 publications
35 citations
The University of Tokyo
Tokyo, Japan
2 h-index
4 publications
110 citations

NASA Research Park
Mountain View Acres, United States
1 h-index
1 publications
29 citations

Chiba University
Chiba, Japan
1 h-index
3 publications
117 citations
Meteorological Research Institute
Tsukuba, Japan
1 h-index
1 publications
44 citations
Earthquake Engineering Research Institute
Oakland, United States
1 h-index
1 publications
17 citations
1–8 of 30
BSSA · 3 publications · 115 citations
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2 publications · 64 citations
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2 publications · 42 citations
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JGR · 2 publications · 34 citations
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Repository · 1 publications · 21 citations
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