Pub Date : 2024-05-03DOI: 10.1080/00401706.2024.2350421
Amandine Pierrot, Pierre Pinson
We consider a new framework where a continuous, though bounded, random variable has unobserved bounds that vary over time. In the context of univariate time series, we look at the bounds as paramet...
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Pub Date : 2024-05-01DOI: 10.1080/00401706.2024.2339789
Firdous Ahmad Mala, Snowbar Majeed
Published in Technometrics (Vol. 66, No. 2, 2024)
发表于《技术计量学》（第 66 卷第 2 期，2024 年）
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Pub Date : 2024-05-01DOI: 10.1080/00401706.2024.2339787
Stan Lipovetsky
Published in Technometrics (Vol. 66, No. 2, 2024)
发表于《技术计量学》（第 66 卷第 2 期，2024 年）
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Pub Date : 2024-05-01DOI: 10.1080/00401706.2024.2339785
Vira Ananda, Visi Komala Sari, Anisah, Utriweni Mukhaiyar
Published in Technometrics (Vol. 66, No. 2, 2024)
发表于《技术计量学》（第 66 卷第 2 期，2024 年）
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Pub Date : 2024-04-19DOI: 10.1080/00401706.2024.2345139
Scott Koermer, Justin Loda, Aaron Noble, Robert B. Gramacy
The Kennedy and O’Hagan (KOH) calibration framework uses coupled Gaussian processes (GPs) to meta-model an expensive simulator (first GP), tune its “knobs” (calibration inputs) to best match observ...
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