Jonathan Taylor jonathan-taylor
jonathan-taylor
/ execute_and_save.py
Created
June 8, 2012 08:09
A script to load an .ipynb file, execute all cells in order and output the resulting notebook. Depends on https://github.com/jonathan-taylor/nbconvert/tree/json2json
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| """ | |
| simple example script for running notebooks and saving the resulting notebook. | |
| Usage: `execute_and_save.py foo.ipynb [bar.ipynb [...]]` | |
| Each cell is submitted to the kernel, and the outputs are overwritten and | |
| stored in new notebooks foo_executed.ipynb, etc. | |
| """ | |
| import os,sys,time |
jonathan-taylor
/ randomized_selective_bootstrap.ipynb
Last active
November 4, 2015 00:52
A randomized selective bootstrap
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jonathan-taylor
/ cross_valid.py
Last active
October 1, 2015 00:08
selective inference after cross validation
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| """ | |
| Script to implement selective inference after cross-validation | |
| """ | |
| import numpy as np | |
| from scipy.stats import norm as ndist | |
| from statsmodels.distributions import ECDF |
jonathan-taylor
/ cross_validate.ipynb
Created
August 14, 2015 18:02
selective inference after cross validation -- results
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jonathan-taylor
/ randomized_FS.ipynb
Last active
August 29, 2015 14:27
randomized first step of FS -- inference in saturated model
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jonathan-taylor
/ two_conditional_tests.ipynb
Last active
September 3, 2015 04:53
Which conditional test should I use?
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jonathan-taylor
/ CV_variability.ipynb
Created
October 20, 2015 22:33
variability of active set in cross validation
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