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Johannes Lederer | Statistical Methods for Large and Complex Data

Statistical Methods for Large and Complex Data

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Johannes Lederer | Statistical Methods for Large and Complex Data | johanneslederer.com Reviews
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Johannes Lederer | Statistical Methods for Large and Complex Data | johanneslederer.com Reviews

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Statistical Methods for Large and Complex Data

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1

Funding | Johannes Lederer

https://johanneslederer.com/category/funding

Statistical Methods for Large and Complex Data. January 7, 2017. And David have been awarded with a grant from the UW Royalty Research Fund (RRF) for their Big Data research in Econometrics. Second hit: it pays to work with Jing and David… 🍸. August 9, 2016. Funded Project “Statistical Inference in High Dimensions”. Johannes, Jing (UW Econ), and David are awarded the grant “AWS Cloud Credits for Research” sponsored by Amazon! Blog at WordPress.com.

2

HDIM | Johannes Lederer

https://johanneslederer.com/hdim

Statistical Methods for Large and Complex Data. Visit our statistics platform hdim.washington.edu. It provides data analysis as easy as it can be: you just upload the data and then get an automated statistical report via email. And the best part: it is free! The platform is currently in a beta version, but we are constantly updating and enhancing it. Blog at WordPress.com.

3

People | Johannes Lederer

https://johanneslederer.com/people

Statistical Methods for Large and Complex Data. Our research encompasses diverse projects and collaborations at the University of Washington and beyond. Find below information about the PI and about students at the University of Washington that are part of our team. Lun has recently earned his Bachelor’s degree in Statistics and Economics from University of Washington, and is now pursuing a Master’s degree in Statistics at UW. Lun is currently working with Johannes on the development and application ...

4

Software | Johannes Lederer

https://johanneslederer.com/software

Statistical Methods for Large and Complex Data. Find matlab software and data examples on Christian’s github [here]. Tuning the refitted Lasso for optimal prediction. The python implementation of our AVp scheme can be found [here]. A fast and simple implementation of the (Group) Square-Root Lasso. Yiyuan’s matlab files can be found [here]. Blog at WordPress.com.

5

Johannes | Johannes Lederer

https://johanneslederer.com/author/hdimstats

Statistical Methods for Large and Complex Data. January 7, 2017. And David have been awarded with a grant from the UW Royalty Research Fund (RRF) for their Big Data research in Econometrics. Second hit: it pays to work with Jing and David… 🍸. December 24, 2016. Important dates and further information about the course STAT 582 have been uploaded in the teaching section. Note the change of location to LOW 101. November 9, 2016. A practical scheme for Lasso calibration. October 4, 2016. Great job, Wei!

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Johannes Lederer | Statistical Methods for Large and Complex Data

Statistical Methods for Large and Complex Data. January 7, 2017. And David have been awarded with a grant from the UW Royalty Research Fund (RRF) for their Big Data research in Econometrics. Second hit: it pays to work with Jing and David… 🍸. December 24, 2016. Important dates and further information about the course STAT 582 have been uploaded in the teaching section. Note the change of location to LOW 101. November 9, 2016. A practical scheme for Lasso calibration. October 4, 2016. Great job, Wei!

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