Irregular Sampling Models
Irregular Sampling Models is a statistical modeling framework designed to analyze time series data characterized by non-uniform observation intervals, distinguishing it from regular time series models by explicitly accounting for the variable temporal spacing between successive measurements.
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Irregularly Spaced Time Series Models
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<i>Wavelets: Mathematics and Applications</i>
John J. Benedetto, Michael Frazier, Bruno Torrésani · Physics Today · 1994 · 341 citations
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University of Connecticut
Storrs, United States
6 h-index
6 publications
705 citations
University of Vienna
Vienna, Austria
4 h-index
9 publications
280 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
6 publications
378 citations
Ifremer
Brest, France
2 h-index
3 publications
84 citations
Beijing Jiaotong University
Beijing, China
2 h-index
2 publications
52 citations

University of Toronto
Toronto, Canada
2 h-index
4 publications
848 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
5 publications
71 citations

Xi'an Jiaotong University
Xi'an, China
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3 publications
69 citations
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ApJ · 4 publications · 437 citations
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MCOM · 3 publications · 462 citations
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Repository · 3 publications · 127 citations
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3 publications · 134 citations
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3 publications · 212 citations
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