Cam.Davidson.Pilon
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 Aug 26 awarded Revival Aug 14 awarded Good Answer Aug 4 accepted Confidence intervals of fitted Weibull survival function? Aug 2 awarded Popular Question Jul 1 revised Survival Analysis tools in Python fixed image Jun 24 reviewed Approve Feature selection: permutation test Vs deleting a variable Jun 23 comment Percentile vs quantile vs quartile Can percentiles also be scaled to be between 0 and 1? Ex: does it make sense to say percentile(array, 0.5) (the median)? Jun 8 awarded Yearling Jun 7 awarded Necromancer May 22 revised Help setting up pymc to solve this problem relating to distribution of colors in M&M's added 29 characters in body May 5 comment Bayesian AB testing with time lag What do you mean when you say cohort? Just to be clear. May 3 answered Bayesian AB testing with time lag Apr 23 comment Python Astronomy Censored Data in Lifelines gist.github.com/CamDavidsonPilon/73578eabd5b34b3f086d Apr 23 comment Python Astronomy Censored Data in Lifelines Well ok actually you can use lifelines, but it's a hack on the definition of correlation. There is a measure called the concordance index which is used to measure survival prediction. Instead of comparing values, it compares ranks: if x_i < x_j in one dataset, is y_i < y_j in the other dataset? It deals gracefully with right-censored data as well. It's a value between 0 and 1 (1 being perfect, 0.5 is random, 0 is opposite); if you normalize the concordance index to be between -1 and 1, you get a sorta correlation (but please don't call it that). Here's a script to do it in lifelines: Apr 22 answered Python Astronomy Censored Data in Lifelines Apr 21 comment Python Astronomy Censored Data in Lifelines Hey Matt, can you describe your dataset better and what terms like "turnover frequency" are? Apr 19 comment Example Bayesian resolution of the Two Envelopes Problem @Xi'an, maybe nothing, but why does an answer need to have something new? Apr 17 comment Survival estimation when death/censoring is probabilistic @PiotrMigdal have you looked at using customer CLV to measure this? See a good intro in "“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model" by Fader et al. An implementation is available at github.com/CamDavidsonPilon/lifetimes Apr 17 comment Help setting up pymc to solve this problem relating to distribution of colors in M&M's corrected! Thanks for spotting that. Apr 16 revised Help setting up pymc to solve this problem relating to distribution of colors in M&M's added 10 characters in body