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ychennay/bootstrap_sampling.py

Last active May 12, 2019 18:31
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bootstrap_sampling.py
true_median = np.median(X["Impressions"])
errors = []
variances = []
for b in range(1, 500):
sample_medians = [np.median(X.sample(len(X), replace=True)["Impressions"]) for i in range(b)]
error = np.mean(sample_medians) - true_median
variances.append(np.std(sample_medians) ** 2) # record the variance of the bootstrap estimates
errors.append(error)
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