Population-Calibrated Gene Characterization

Improvement of MOSFET matching characterization with calibrated multiplexed test structure

Calibrated Fibrations

In this paper we investigate the geometry of Calibrated submanifolds and study relations between their moduli-space and geometry of the ambient manifold. In particular for a Calabi-Yau manifold we define Special Lagrangian submanifolds for any Kahler metric on it. We show that for a choice of Kahler metric the Borcea-Voisin threefold has a fibration structure with generic fiber being a Special ...

Mostly calibrated

Prequential testing of a forecaster is known to be manipulable if the test must pass an informed forecaster for all possible true distributions. Stewart (2011) provides a non-manipulable prequential likelihood test that only fails an informed forecaster on a small, category I, set of distributions. We present a prequential test based on calibration that also fails the informed forecaster on at ...

Calibrated Uncertainty

We define a binary relation (qualitative uncertainty assessment (QUA)) to describe a decision-maker’s subjective assessment of likelihoods on a collection of events. To model ambiguity, we permit incompleteness. Our axioms yield a representation according to which A is more likely than B if an only if a capacity, called uncertainty measure (UM) assigns a higher value to A than to B and a higher...

Calibrated Very Robust Regression

The behaviour of algorithms for very robust regression depends on the distance between the regression data and the outliers. We introduce a parameter λ that defines a parametric path in the space of models and enables us to study, in a systematic way, the properties of estimators as the groups of data move from being far apart to close together. We examine, as a function of λ, the variance and ...