In the previous post (https://statcompute.wordpress.com/2016/01/01/the-power-of-decision-stumps), it was shown that the boosting algorithm performs extremely well even with a simple 1-level stump as the base learner and provides a better performance...continue reading.
When modeling the frequency measure in the operational risk with regressions, most modelers often prefer Poisson or Negative Binomial regressions as best practices in the industry. However, as an alternative...continue reading.
The Canadian newspaper, Globe and Mail, is a leader in diction and style, but it may need improvement in the ‘grammar of graphics’.Globe’s recent depiction of metropolitan economic growth in...continue reading.
Cubist is a tree-based model with a OLS regression attached to each terminal node and is somewhat similar to mob() function in the Party package (https://statcompute.wordpress.com/2014/10/26/model-segmentation-with-recursive-partitioning). Below is a demonstrate...continue reading.
For the 2015 NBA season, the only exciting Lakers news is the return of the Kobe show and Charles Barkley’s Lakers Lent.The Lakers started the season with 0 wins and...continue reading.
pkgs <- c(‘sas7bdat’, ‘betareg’, ‘lmtest’) lapply(pkgs, require, character.only = T) df1 <- read.sas7bdat("lgd.sas7bdat") df2 <- df1[which(df1$y < 1), ] xvar <- paste("x", 1:7, sep = ”, collapse = " +...continue reading.