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Doubly Robust Identification of Causal Effects of a Continuous Treatment using Discrete Instruments
An alternative approach is to explore distributional changes in the treatment, where the first-stage restriction is treatment rank similarity.
When Can We Ignore Measurement Error in the Running Variable?
In many applications of regression discontinuity designs, the running variable used by the administrator to assign treatment is only observed with error.
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery
Spectral-spatial based deep learning models have recently proven to be effective in hyperspectral image (HSI) classification for various earth monitoring applications such as land cover classification and agricultural monitoring.
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