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20102021
most citedValid Post-Selection and Post-Regularization Inference: An Elementary, General Approach

152 citations · 285 across the 23 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

econ.EM2017★ 2 cited

Simultaneous Confidence Intervals for High-dimensional Linear Models with Many Endogenous Variables

Alexandre Belloni, Christian Hansen, Whitney Newey

High-dimensional linear models with endogenous variables play an increasingly important role in recent econometric literature. In this work we allow for models with many endogenous…

cs.CY2017★ 3 cited

Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care

Casper Hansen, Christian Hansen, Stephen Alstrup +1

We present an ensemble learning method that predicts large increases in the hours of home care received by citizens. The method is supervised, and uses different ensembles of eithe…

cs.CY2017★ 9 cited

Sequence Modelling For Analysing Student Interaction with Educational Systems

Christian Hansen, Casper Hansen, Niklas Hjuler +2

The analysis of log data generated by online educational systems is an important task for improving the systems, and furthering our knowledge of how students learn. This paper uses…

math.ST2017

Targeted Undersmoothing

Christian Hansen, Damian Kozbur, Sanjog Misra

This paper proposes a post-model selection inference procedure, called targeted undersmoothing, designed to construct uniformly valid confidence sets for a broad class of functiona…

stat.ML2017

Double/Debiased/Neyman Machine Learning of Treatment Effects

Victor Chernozhukov, Denis Chetverikov, Mert Demirer +3

Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, and Newey (2016) provide a generic double/de-biased machine learning (DML) approach for obtaining valid inferential statements ab…