Stochastic Inverse Problems
Stochastic Inverse Problems is an inverse problem framework in which the unknown parameters or inputs are characterized as random variables or stochastic processes, and the solution involves inferring their probabilistic descriptions from noisy or uncertain observations.
318
Publications
23.7K
Citations
706
Authors
370
Institutions
Publications per year
2017–2026
90
Parents
318
Stochastic Problems in Physics and Astronomy
S. Chandrasekhar · Reviews of Modern Physics · 1943 · 8.5K citations
Natural Sciences, Astronomy, Physics +12
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370

Cornell University
Ithaca, United States
9 h-index
12 publications
694 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
22 publications
545 citations

Southeast University
Nanjing, China
7 h-index
13 publications
772 citations
Sandia National Laboratories California
Livermore, United States
7 h-index
11 publications
1.7K citations
University of Arizona
Tucson, United States
6 h-index
9 publications
804 citations
Qufu Normal University
Qufu, China
6 h-index
12 publications
827 citations
Universitat Politècnica de València
Valencia, Spain
6 h-index
10 publications
276 citations
Los Alamos National Laboratory
Los Alamos, United States
6 h-index
13 publications
514 citations
1–8 of 370
20 publications · 998 citations
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12 publications · 951 citations
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9 publications · 240 citations
9
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8 publications · 355 citations
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7 publications · 1.2K citations
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