Cyclodextrin-based catalysts and molecular reactors
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]
|Collections||ANU Research Publications|
|Source:||Pure and Applied Chemistry|
|Access Rights:||Open Access|
|01_Easton_Cyclodextrin-based_catalysts_2005.pdf||Published Version||198.59 kB||Adobe PDF|
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