Execute SAS/IML statements that are in a file at run time

June 15, 2015
By
Execute SAS/IML statements that are in a file at run time

A feature of SAS/IML 13.2 (shipped with SAS 9.4m2, Aug 2014) is the ability to execute SAS/IML statements that are in a file. The feature is implemented by the new EXECUTEFILE subroutine. This feature is similar to the CALL EXECUTE statement. The difference is that the EXECUTEFILE subroutine reads, parses, […] The post Execute SAS/IML statements that are in a file at run time appeared first on The DO Loop.

Read more »

A Conjecture Regarding Extracted Dynamic Factors (and Hence GDPplus)

June 14, 2015
By

Here's a conjecture that I'd love to see explored. It's well-posed, simple, and really interesting.Conjecture: GDPplus (obtained by Kalman smoothing) may be very well approximated by taking a simple convex combination of exponentially smoothed GDPe (ex...

Read more »

Wikipedia is the best

June 14, 2015
By
Wikipedia is the best

“It is not readily apparent whether Boo-Boo is a juvenile bear with a precocious intellect or simply an adult bear who is short of stature.” The post Wikipedia is the best appeared first on Statistical Modeling, Causal Inference, and Socia...

Read more »

Parallel and a new laptop

June 14, 2015
By
Parallel and a new laptop

I am thinking about a new laptop. For one thing a 1366*768 resolution just seems to get impractically small. Secondly, faster comutations, more memory.Regarding CPU speed, my current laptop has a lowly Celeron 877. From what I see at my computers activ...

Read more »

Nested vs. Non-nested (crossed) Random Effects in R

June 13, 2015
By
Nested vs. Non-nested (crossed) Random Effects in R

The R script below illustrates the nested versus non-nested (crossed) random effects functionality in the R packages lme4 and nlme. Note that crossed random effects are difficult to specify in the nlme framework. Thus, I've included a back-of-the-envelope (literally a scanned image of my scribble) interpretation of the 'trick' to specifying crossed random effects for … Continue reading Nested vs. Non-nested (crossed) Random Effects in R →

Read more »

The language of insignificance

June 13, 2015
By

Jonathan Falk points me to an amusing post by Matthew Hankins giving synonyms for “not statistically significant.” Hankins writes: The following list is culled from peer-reviewed journal articles in which (a) the authors set themselves the threshold of 0.05 for significance, (b) failed to achieve that threshold value for p and (c) described it in […] The post The language of insignificance appeared first on Statistical Modeling, Causal Inference, and…

Read more »

I do not believe Google invented the term A/B test

June 12, 2015
By

The June 4, 2015 Wikipedia entry on A/B Testing claims Google data scientists were the origin of the term “A/B test”: Google data scientists ran their first A/B test at the turn of the millennium to determine the optimum number of results t...

Read more »

Econometrics Videos

June 12, 2015
By
Econometrics Videos

The Royal Economics Society (publisher of The Econometrics Journal) has recently released a video of invited addresses by Alfred Galichon and Jeremy Lise, in the special session on “Econometrics of Matching” at the 2015 RES Conference.This video jo...

Read more »

Specification Testing in the Ordered Probit Model

June 12, 2015
By
Specification Testing in the Ordered Probit Model

Readers of this blog will know I'm a proponent of more specification testing in the context of Logit, Probit, and related models. For, instance, see this recent post, and the links within it.I received an email from Paul Johnson, Chair of the Departmen...

Read more »

JuliaCon 2015 (24–27 June, Boston-ish)

June 12, 2015
By
JuliaCon 2015 (24–27 June, Boston-ish)

JuliaCon is coming to Cambridge, MA the geek capital of the East Coast: 24–27 June. Here’s the conference site with program. I (Bob) will be giving a 10 minute “lightning talk” on Stan.jl, the Julia interface to Stan (built by Rob J. Goedman — I’m just pinch hitting because Rob couldn’t make it). The uptake […] The post JuliaCon 2015 (24–27 June, Boston-ish) appeared first on Statistical Modeling, Causal Inference,…

Read more »

The Sleeping Beauty Problem

June 12, 2015
By
The Sleeping Beauty Problem

How did I get to my ripe old age without hearing about The Sleeping Beauty Problem?  I've taught and written about The Monty Hall Problem and The Girl Named Florida Problem.  But I didn't hear about Sleeping Beauty until this reddit post, poi...

Read more »

Does your time as a parent make a difference?

June 12, 2015
By

A colleague writes: Thought you might be interested in this front page data journalism take down of an article. I don’t know the article but this amounts to a journalist talking with someone who didn’t like the piece and ripping it based on a measurement detail. How bad though is this measurement detail? Are you […] The post Does your time as a parent make a difference? appeared first on…

Read more »

Wanted: A Perfect Scatterplot (with Marginals)

June 12, 2015
By

We saw this scatterplot with marginal densities the other day, in a blog post by Thomas Wiecki: The graph was produced in Python, using the seaborn package. Seaborn calls it a “jointplot;” it’s called a “scatterhist” in Ma...

Read more »

Applied regression and multilevel modeling books using Stan

June 11, 2015
By

Edo Navot writes: Are there any plans in the works to update your book with Prof. Hill on hierarchical models to a new edition with example code in Stan? Yes, we are planning to break it up into 2 books and do all the modeling for both books in Stan. It’s waiting on some new […] The post Applied regression and multilevel modeling books using Stan appeared first on Statistical…

Read more »

A Half-day in the Life of a Data Scientist

June 11, 2015
By

An organization wanted to understand its base of members so the first order of business was constructing a database of all people who can be considered members. We decided to define membership broadly. Members included those who join the Facebook group, and those who subscribed to the newsletter. The organization kept two separate lists which I would merge to create a master list. For simplicity, I’ll call them the FB…

Read more »

p-hacking, or cheating on a p-value

June 11, 2015
By
p-hacking, or cheating on a p-value

Yesterday evening, I discovered some interesting slides on False-Positives, p-Hacking, Statistical Power, and Evidential Value, via @UCBITSS ‘s post on Twitter. More precisely, there was this slide on how cheating (because that’s basically what it is) to get a ‘good’ model (by targeting the p-value) As mentioned by @david_colquhoun  one should be careful when reading the slides : some statistician might have a heart attack when they read But still, there are interesting points in that…

Read more »

Basic Needs and Delighters

June 11, 2015
By
Basic Needs and Delighters

How to find out user needs? Which method to choose? These questions find an innovative answer in an article from Ilka Willand (of Destatis, the German Statistical Office) published in number 31 of IAOS’ Statistical Journal Beyond traditional customer surveys: The reputation analysis Authors: Willand, Ilka DOI: 10.3233/sji-150866 Journal: Statistical Journal of the IAOS, vol. … Continue reading Basic Needs and Delighters

Read more »

The spiral of splatter

June 11, 2015
By
The spiral of splatter

"Daddy, help! Help me! Come quick!" I heard my daughter's screams from the upstairs bathroom and bounded up the stairs two at a time. Was she hurt? Bleeding? Was the toilet overflowing? When I arrived in the doorway, she pointed at the wall and at the floor. The wall was […] The post The spiral of splatter appeared first on The DO Loop.

Read more »

Identifying the OS from R

June 10, 2015
By

Sometimes a bit of R code needs to know what operating system it’s running on. Here’s a short account of where you can find this information and a little function to wrap the answer up neatly. Operating systems are a platform issue, so let’s start with the constants in the list .Platform. For Windows the […]

Read more »

Johns Hopkins Data Science Specialization Captsone 2 Top Performers

June 10, 2015
By
Johns Hopkins Data Science Specialization Captsone 2 Top Performers

The second capstone session of the Johns Hopkins Data Science Specialization concluded recently. This time, we had 1,040 learners sign up to participate in the session, which again featured a project developed in collaboration with the amazingly innovative folks at SwiftKey.  We've identified the learners listed below as the top performers in this capstone session.

Read more »

“Best Linear Unbiased Prediction” is exactly like the Holy Roman Empire

June 10, 2015
By

Dan Gianola pointed me to this article, “One Hundred Years of Statistical Developments in Animal Breeding,” coauthored with Guilherme Rosa, which begins: Statistical methodology has played a key role in scientific animal breeding. Approximately one hundred years of statistical developments in animal breeding are reviewed. Some of the scientific foundations of the field are discussed, […] The post “Best Linear Unbiased Prediction” is exactly like the Holy Roman Empire appeared…

Read more »

Big Data and Chess: What are the Predictive Point Values of Chess Pieces?

June 10, 2015
By
Big Data and Chess: What are the Predictive Point Values of Chess Pieces?

Who doesn’t like chess? Me! Sure, I like the idea of chess – intellectual masterminds battling each other using nothing but pure thought – the problem is that I tend to lose, probably because I don’t really know how to play well, and because ...

Read more »

Computing polar angles from coordinate data

June 10, 2015
By
Computing polar angles from coordinate data

Equations that involve trigonometric functions can have infinitely many solutions. For example, the solution to the equation tan(θ)=1 is θ = π/4 + kπ, where k is any integer. In order to obtain a unique solution to the equation, we define the "arc" functions: inverse trigonometric functions that return a […] The post Computing polar angles from coordinate data appeared first on The DO Loop.

Read more »


Subscribe

Email:

  Subscribe