Poisson Process Estimation
Poisson Process Estimation is a statistical methodology that belongs to the class of point process inference techniques, distinguished by its focus on estimating the intensity function or rate parameter of a Poisson process from observed event data.
403
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23.6K
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777
Authors
461
Institutions
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2017–2026
41
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403
A mathematical model of the finding of usability problems
Jakob Nielsen, Thomas K. Landauer · 1993 · 1.9K citations · Full text
Empirical Choice of Histograms and Kernel Density Estimators
Mats Rudemo · 1982 · 735 citations
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461

Centre National de la Recherche Scientifique
Paris, France
9 h-index
13 publications
290 citations

University of British Columbia
Vancouver, Canada
7 h-index
8 publications
317 citations
University of California, Berkeley
Berkeley, United States
7 h-index
8 publications
1.4K citations
North Carolina State University
Raleigh, United States
7 h-index
12 publications
288 citations
University of Michigan
Ann Arbor, United States
6 h-index
9 publications
920 citations
University of Missouri
Columbia, United States
5 h-index
6 publications
285 citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
5 h-index
6 publications
112 citations
Louisiana State University
Baton Rouge, United States
5 h-index
6 publications
146 citations
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16 publications · 1.1K citations
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17 publications · 1.1K citations
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14 publications · 698 citations
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13 publications · 400 citations
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JSCS · 10 publications · 257 citations
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