Simulation-based Loss Analysis
Simulation-Based Loss Analysis is a computational methodology within loss distribution analysis that uses repeated stochastic simulations to estimate the frequency and severity of potential losses, distinguishing itself from analytical or empirical methods by relying on generated data to model complex, uncertain risk environments.
40
Publications
2.8K
Citations
121
Authors
66
Institutions
Publications per year
2017–2026
13
Parents
40
Loss Models: From Data to Decisions
James D. Broffitt, Stuart A. Klugman, Harry H. Panjer et al. · Journal of the American Statistical Association · 1999 · 1.3K citations
Loss Models: From Data to Decisions
Technometrics · 2006 · 231 citations · Full text
Joaquim G. Pinto, Elsa Luise Fröhlich, Gregor C. Leckebusch et al. · Natural hazards and earth system sciences · 2007 · 137 citations · Full text
1–5 of 40
121
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 121
66
Stanford University
Stanford, United States
3 h-index
6 publications
120 citations
General Motors (United States)
Detroit, United States
2 h-index
2 publications
49 citations

University of British Columbia
Vancouver, Canada
2 h-index
4 publications
349 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
40 citations
RWTH Aachen University
Aachen, Germany
2 h-index
7 publications
490 citations
Technical University of Liberec
Liberec, Czechia
1 h-index
2 publications
70 citations

Banaras Hindu University
Varanasi, India
1 h-index
2 publications
26 citations

University of Cologne
Cologne, Germany
1 h-index
2 publications
274 citations
1–8 of 66
2 publications · 122 citations
2
h-index
1 publications · 10 citations
1
h-index
1 publications · 61 citations
1
h-index
1 publications · 13 citations
1
h-index
CJS · 1 publications · 52 citations
1
h-index
1–5