7,546 reputation
1735
bio website thinkinator.com
location Washington DC, United States
age
visits member for 3 years, 11 months
seen 10 mins ago

Long-time R user, new Stata user, occasional Stan user, and currently learning Scala. Data Scientist at ERI, an incredible company where we do everything from fraud detection and visualization, to training and and text mining.


4m
answered An example of when bootstrap has less bias than classically approximated estimates?
16h
revised How to use DLM with Kalman filtering for forecasting
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1d
revised What is considered to be “good” classification rate?
added 81 characters in body
1d
answered What is considered to be “good” classification rate?
2d
comment Comparing medians
Wouldn't a Monte Carlo permutation/randomized/rerandomized test be appropriate? Not sure how to do it in Stata, though.
2d
comment How to test a claim about a confidence interval (real case)
In addition to whuber's comments: It sounds like you're going to gather some data at a single location in a single day, which is arguably not what they're talking about. If not, how are you going to gather your sample in a way that reflects their N?
Oct
13
comment Interpreting Cluster Heat Maps From R
It would help if the heat map's rows were sorted by columns. It would make groups much more visible.
Oct
13
revised Cluster interpretation
added 497 characters in body
Oct
13
comment Cluster interpretation
OK, I'll edit a bit, though I can't think of any simple examples.
Oct
13
reviewed Approve suggested edit on Thinning chains in BUGS/JAGS
Oct
13
answered Cluster interpretation
Oct
8
comment Why did K means clustering do a poor job in R
what the OP did is like clustering people by weight and including as the two variables their weight and name.
Sep
30
awarded  Explainer
Sep
24
awarded  Autobiographer
Sep
7
awarded  Necromancer
Aug
26
awarded  Enlightened
Aug
26
awarded  Nice Answer
Jul
25
answered How to tell which recipe rating is better?
Jul
25
comment Specifying lag in `dlnm` when passing arguments to `crossbasis`
The $y=x1*x2$ formula is shorthand for $y=x1+x2+x1:x2$. That is, it introduces the interaction between the two variables. Not sure if you're confusing autocorrelation and correlation: autocorrelation is correlation of a variable with lagged versions of itself. ("Auto" = "Self")
Jul
14
comment Best way to turn a date into a numerical feature?
Why don't you want to calculate the difference between dates? You can also include an age^2 feature or even a unit less number like the age that year divided by the median age that year. Binning ages into intervals will throw away information and us usually not a good idea.