Monthly Archives: February 2012

MAT8886 a short word on profile likelihood

February 7, 2012
By
MAT8886 a short word on profile likelihood

Profile likelihood is an interesting theory to visualize and compute confidence interval for estimators (see e.g. Venzon & Moolgavkar (1988)). As we will use is, we will plot But more generally, it is possible to consider where . Then (...

Read more »

Early-February flotsam

February 7, 2012
By
Early-February flotsam

Mike Croucher at Walking Randomly points out an interesting difference in operator precedence for several mathematical packages to evaluate a simple operation 2^3^4. It is pretty much a divide between Matlab and Excel (does the later qualify as mathematical software?) … Continue reading →

Read more »

Update to Partisan Bias in Fed Inflation Forecasts

February 7, 2012
By
Update to Partisan Bias in Fed Inflation Forecasts

Since I'm in the depths of PhD thesis revisions I haven't had much time to do much other than update previous posts (see my Stata Country Standardizer Update).Here is an update of an earlier post about possible partisan biases in US Federal Reserve sta...

Read more »

Workshop on Mixed and Multilevel Modelling with R in Toronto

February 7, 2012
By

Summer Program In Data Analysis (SPIDA): May 24th – June 1st, 2012 In its thirteenth season this year, ISR’s Summer Program in Data Analysis focuses on linear models, beginning with “standard” regression through generalized linear models, and extending to mixed or multilevel models, linear and non-linear and generalized, which incorporate two or more hierarchical levels of data or longitudinal...

Read more »

What’s new in futile.paradigm 2.0.4

February 6, 2012
By
What’s new in futile.paradigm 2.0.4

Well this certainly took a while but the latest installment of my functional dispatching library for R is finally released …Continue reading »

Read more »

how to create a variable with r

February 6, 2012
By

(This article was first published on twotorials by anthony damico, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on his blog: twotorials by anthony damico. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL,...

Read more »

how to do simple arithmetic in r

February 6, 2012
By

(This article was first published on twotorials by anthony damico, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on his blog: twotorials by anthony damico. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL,...

Read more »

More Beautiful Growth of $1 Chart

February 6, 2012
By
More Beautiful Growth of $1 Chart

With all my recent focus on reporting and visualization, you might think that I have the investments all figured out.  Unfortunately, that is not the case, and I will resume more standard investment and systems posts soon.  I did want to shar...

Read more »

The anatomy of a Twitter conversation, visualized with R

February 6, 2012
By
The anatomy of a Twitter conversation, visualized with R

If you're a Twitter user like me, you're probably familiar with the way that conversations can easily by tracked by following the #hashtag that participants include in the tweets to label the topic. But what causes some topics to take off, and others to die on the vine? Does the use of retweets (copying another users tweet to your...

Read more »

General Bayesian estimation using MHadaptive

February 6, 2012
By
General Bayesian estimation using MHadaptive

If you can write the likelihood function for your model, MHadaptive will take care of the rest (ie. all that MCMC business). I wrote this R package to simplify the estimation of posterior distributions of arbitrary models. Here’s how it works: 1) Define your model (ie the likelihood * prior). In this example, lets build

Read more »