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Cyclodextrin-based catalysts and molecular reactors

Easton, Christopher J.


We suggest two nonparametric approaches, based on kernel methods and orthogonal series to estimating regression functions in the presence of instrumental variables. For the first time in this class of problems, we derive optimal convergence rates, and show that they are attained by particular estimators. In the presence of instrumental variables the relation that identifies the regression function also defines an ill-posed inverse problem, the “difficulty” of which depends on eigenvalues...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Journal article
Source: Pure and Applied Chemistry
DOI: 10.1351/pac200577111865
Access Rights: Open Access


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