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11 IMSC Session Program<br />

No title provided<br />

Tuesday - Poster Session 3<br />

Mathew Schofield<br />

Statistical calibration is the process of predicting partially observed covariate values,<br />

$x$, from outcome data $y$. Here we discuss the calibration procedure in view of<br />

current reconstruction methods. In particular, we show that current methods can be<br />

viewed as particular forms of a hierarchical model. We explore the implications of<br />

such assumptions on reconstructions of climate and explore the sensitivity of the<br />

reconstructions when these assumptions are relaxed.<br />

Abstracts 102

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