Search Results for author: Chris Hansen

Found 3 papers, 1 papers with code

Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak

no code implementations30 Nov 2023 Yumou Wei, Ryan F. Forelli, Chris Hansen, Jeffrey P. Levesque, Nhan Tran, Joshua C. Agar, Giuseppe Di Guglielmo, Michael E. Mauel, Gerald A. Navratil

Active feedback control in magnetic confinement fusion devices is desirable to mitigate plasma instabilities and enable robust operation.

hdm: High-Dimensional Metrics

no code implementations1 Aug 2016 Victor Chernozhukov, Chris Hansen, Martin Spindler

In this article the package High-dimensional Metrics (\texttt{hdm}) is introduced.

regression valid +1

High-Dimensional Metrics in R

4 code implementations5 Mar 2016 Victor Chernozhukov, Chris Hansen, Martin Spindler

The package High-dimensional Metrics (\Rpackage{hdm}) is an evolving collection of statistical methods for estimation and quantification of uncertainty in high-dimensional approximately sparse models.

regression valid +1

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