blog.davidchudzicki.com
David Chudzicki's Blog: A Bayesian Model for a Function Increasing by Chi-Squared Jumps (in Stan)
http://blog.davidchudzicki.com/2013/10/a-bayesian-model-for-function.html
Wednesday, October 16, 2013. A Bayesian Model for a Function Increasing by Chi-Squared Jumps (in Stan). This post will describe a way I came up with of fitting a function that's constrained to be increasing, using Stan. Here's the source for this post. Including markdown and and R code, and here's the Stan model it uses. Many thanks to Naftali Harris. For comments and insights on an earlier version. I recently read a paper that Andrew Gelman wrote back in 1996. So what model should we use instead? I've a...
opendatascience.com
An Interaction or Not? How a few ML Models Generalize to New Data | Open Data Science
https://www.opendatascience.com/blog/an-interaction-or-not-how-a-few-ml-models-generalize-to-new-data
An Interaction or Not? How a few ML Models Generalize to New Data. This post was originally posted on David Chudzicki’s Blog. And kindly contributed to Open Data Science). Source code for this post is here. I’ll look at point estimates from:. Decision trees and bagged decision trees (random forest), using R’s randomForest package. Boosted decision trees, using the R’s gbm package. I’ll also look at two models that capture uncertainty about whether there’s an interaction:. Y = 5 noise. Y = 15 noise. Would...
davidchudzicki.com
An Interaction or Not? How a few ML Models Generalize to New Data – David Chudzicki
http://www.davidchudzicki.com/posts/interaction-or-not
An Interaction or Not? How a few ML Models Generalize to New Data. March 4, 2015. Source code for this post is here. This post examines how a few statistical and machine learning models respond to a simple toy example where theyre asked to make predictions on new regions of feature space. The key question the models will answer differently is whether theres an interaction between two features: does the influence of one feature differ depending on the value of another. Ill look at point estimates from:.
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