I was searching for one last real world example for my upcoming video talk March 13th on time series forecasting. Hope to see you there! Or reach out to Win Vector LLC for custom training! I had the seemingly harmless thought: “Let’s look at Stack Overflow trends“. In particular ...

Joseph Rickert and I put together an experiment trying to both run a standard meta-analysis and then reproduce similar results directly using Bayesian methods. I think it came out really interesting and we share it here at R Works and also here on Github. A meta-analysis is an attempt to […]

In this post, we would like to review the idea of meta-analysis and compare a traditional, frequentist style, random effects meta-analysis to Bayesian methods. We will do this using the meta R package and a Bayesian analysis conducted with R but...

Introduction It can be fun to drive a problem all the way into the ground. I don’t always get to do that on paying projects, however sometimes I can do it with hobby projects. In this case I am going to re-solve Dudeney’s Remainder Problem again and again ...

I’ll be teaching how to solve time series problems at ODSC West Wednesday October 30th, 2024. This is a neglected topic that can unlock a lot of value in your organization. Find at https://odsc.com/california/odsc-west-schedule-2024/ , Tutorials | Workshops, 30 Oct Day 2. 3:30 PM Pacific time, 1 hour long. Hope […]

The remainder problem The description of this puzzle really cracks me up (Dudeney, Strand Magazine, January 1924). Health risks aside, how do we find the maximal integer d such that (480608 % d) = (508811 % d) = (723217 % d)? The solution A good puzzle strategy is to try […]

More mathematical puzzling from Nina Zumel: “Bachet’s Four Weights Problem”

BARUG is back!!! Hope to see you there! https://www.meetup.com/r-users/events/303488652/?eventOrigin=group_upcoming_events

Introduction An important goal of our Win Vector LLC teaching offerings is to instill in engineers some familiarity with, and empathy for, how data is likely to be used for analytics and business. Having such engineers in your organization greatly increases the quality of the data later available to your […]

Introduction To borrow a term from Hyndman, the following is going to come out as a bit of a muddle. However, that may be the honest way to survey a muddled situation. I am going to write on time series problems and solvers, try to run some details to ground, […]

Introduction I’d like to demonstrate what “analysis of variance” (often abbreviated as “anova” or “aov”) does for you as a data scientist or analyst. After reading this note you should be able to determine how an analysis of variance style calculation can or can not help with your project. (...

Introduction I would like to illustrate a way which omitted variables interfere in logistic regression inference (or coefficient estimation). These effects are different than what is seen in linear regression, and possibly different than some expectations or intuitions. Our Example Data Let’s start with a data example in R. # […]