Simulation-based Estimation
Simulation-Based Estimation is a methodological approach within discrete choice modeling that uses simulated data to approximate likelihood functions or choice probabilities when analytical solutions are intractable, thereby enabling parameter estimation through repeated stochastic sampling.
304
Publications
25.5K
Citations
844
Authors
405
Institutions
Publications per year
2017–2026
59
Parents
304
Discrete choice methods with simulation
Computers & Mathematics with Applications · 2004 · 1.2K citations
1–5 of 304
844
10
h-index
4
h-index
Merck & Co., Inc., Rahway, NJ, USA (United States), United States
4 publications · 1.3K citations
4
h-index
4
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4
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1–5 of 844
405

The University of Melbourne
Melbourne, Australia
7 h-index
16 publications
757 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
7 publications
2.1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
6 publications
375 citations
University of Maryland, College Park
College Park, United States
6 h-index
8 publications
148 citations
North Carolina State University
Raleigh, United States
6 h-index
8 publications
1.4K citations
University of Oxford
Oxford, United Kingdom
6 h-index
8 publications
449 citations
University of California San Diego
San Diego, United States
6 h-index
13 publications
678 citations
Stanford University
Stanford, United States
6 h-index
11 publications
520 citations
1–8 of 405
Repository · 13 publications · 279 citations
11
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9 publications · 1.7K citations
9
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8 publications · 466 citations
8
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Repository · 8 publications · 316 citations
8
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6 publications · 2.3K citations
6
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1–5