Irregularly Sampled Data Analysis
Irregularly Sampled Data Analysis is a computational methodology within temporal phenotyping that addresses the challenge of extracting meaningful patterns from longitudinal observations collected at uneven, non-uniform time intervals, distinguishing itself from conventional time-series analysis by explicitly accounting for variable inter-observation durations.
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4.3K
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123
Authors
71
Institutions
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2017–2026
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Understanding the Lomb–Scargle Periodogram
The Astrophysical Journal Supplement Series · 2018 · 1.2K citations · Full text
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Instituto Nacional de Salud Pública
Cuernavaca, Mexico
2 h-index
2 publications
240 citations
New England Research Institutes
Watertown, United States
2 h-index
2 publications
240 citations

University of Toronto
Toronto, Canada
2 h-index
4 publications
811 citations

Uppsala University
Uppsala, Sweden
2 h-index
4 publications
270 citations
Toronto Metropolitan University
Toronto, Canada
2 h-index
4 publications
282 citations

University of Birmingham
Birmingham, United Kingdom
2 h-index
6 publications
138 citations

Autonomous University of San Luis Potosí
San Luis Potosí City, Mexico
2 h-index
2 publications
46 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
480 citations
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2 publications · 83 citations
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2 publications · 45 citations
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EHP · 2 publications · 240 citations
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AOAS · 2 publications · 42 citations
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Repository · 2 publications · 168 citations
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