Seth Flaxman

icon indicating a website link http://www.sethrf.com icon indicating an email [email protected]

icon location UK icon location scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science

Results 2 issues of Seth Flaxman

Efficient Bayesian ridge regression

2 comment

Using 100 KDE features and all the categorical variables, I end up with a dataset that's `840x6578` so I'm inclined to do ridge regression. I tried to implement it in...

Log transform for US$ variables

6 comment

Here's the variables I think we should log transform, all representing income/wages/etc. VERSIONS = { ... 'log_transform_feats': '''INTP OIP PAP RETP SEMP SSIP SSP WAGP PERNP PINCP'''.split(), Only issue is...