LabCompass

Jen Tang

Decision Sciences · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1987
Advanced Statistical Process MonitoringReliability and Maintenance OptimizationStatistical Distribution Estimation and ApplicationsOptimal Experimental Design MethodsScientific Measurement and Uncertainty Evaluation

Publications

38

Citations

988

Est. group size

—

Recurring co-author estimate

Active years

38

Publishing since 1987

Research summary
AI-generated

Jen Tang works in decision sciences with a focus on statistical methods, including analyzing high-dimensional data with many categorical variables (data with non-numeric, group-based categories) and studying reliability testing methods used to predict how products degrade over time. This research is aimed at developing better statistical techniques for organizing complex data and estimating product lifespans from accelerated testing.

Statistical clustering methodsHigh-dimensional data analysisCategorical data analysisReliability and degradation testingStatistical process monitoring

Publication output has been sparse and irregular over the last decade, with a single paper in 2017, a multi-year gap, and a small uptick in 2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.4/year recently
2017: 1 publication171819202122232024: 2 publications2242526
Recent publications
Publishes in
  • Journal of the American Statistical Association×1
  • IEEE Transactions on Reliability×1
  • Figshare×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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