Big Analytics

January 25, 2015
By
Big Analytics

Technology Predictions for 2015 For 2015, Bing predicts the same three technologies for all continents to be in the first …Continue reading →

Read more »

Tell me what you don’t know

January 25, 2015
By

We’ll ask an expert, or even a student, to “tell me what you know” about some topic. But now I’m thinking it makes more sense to ask people to tell us what they don’t know. Why? Consider your understanding of a particular topic to be divided into three parts: 1. What you know. 2. What […] The post Tell me what you don’t know appeared first on Statistical Modeling, Causal…

Read more »

Odds, odds ratio, language and intuition

January 25, 2015
By

I was reading a statistics book the other day. I am at the beginning. In this section I read '(we) report results as odds ratios, which is more intuitive'. I must have read sentences stating this any number of times. But I don't agree.It may be my back...

Read more »

Postdoc opportunity here, with us (Jennifer Hill, Marc Scott, and me)! On quantitative education research!!

January 25, 2015
By

Hop the Q-TRAIN: that is, the Quantitative Training Program, a postdoctoral research program supervised by Jennifer Hill, Marc Scott, and myself, and funded by the Institute for Education Sciences. As many of you are aware, education research is both important and challenging. And, on the technical level, we’re working on problems in Bayesian inference, multilevel […] The post Postdoc opportunity here, with us (Jennifer Hill, Marc Scott, and me)! On…

Read more »

What do these share in common: m&ms, limbo stick, ovulation, Dale Carnegie? Sat night potpourri

January 25, 2015
By
What do these share in common: m&ms, limbo stick, ovulation, Dale Carnegie? Sat night potpourri

Here’s the follow-up to my last (reblogged) post. initially here. My take hasn’t changed much from 2013. Should we be labeling some pursuits “for entertainment only”? Why not? (See also a later post on the replication crisis in psych.) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ I had said I would label as pseudoscience or questionable science any enterprise that regularly permits the kind of […]

Read more »

Extreme Value Modelling in Stata

January 25, 2015
By
Extreme Value Modelling in Stata

David Roodman wrote to me today, saying:"I don’t know if you use Stata, but I’ve just released a Stata package for extreme value theory. It is strongly influenced by Coles’s book on EVT and the associated ismev package for R. Using maximum likeli...

Read more »

Calling R from Scala sbt projects

January 24, 2015
By
Calling R from Scala sbt projects

[Update: The jvmr package has been replaced by the rscala package. There is a new version of this post which replaces this one.] Overview In previous posts I’ve shown how the jvmr CRAN R package can be used to call Scala sbt projects from R and inline Scala Breeze code in R. In this post … Continue reading Calling R from Scala sbt projects

Read more »

Calling R from Scala sbt projects

January 24, 2015
By
Calling R from Scala sbt projects

[Update: The jvmr package has been replaced by the rscala package. There is a new version of this post which replaces this one.] Overview In previous posts I’ve shown how the jvmr CRAN R package can be used to call Scala sbt projects from R and inline Scala Breeze code in R. In this post … Continue reading Calling R from Scala sbt projects

Read more »

“What then should we teach about hypothesis testing?”

January 24, 2015
By

Someone who wishes to remain anonymous writes in: Last week, I was looking forward to a blog post titled “Why continue to teach and use hypothesis testing?” I presume that this scheduled post merely became preempted by more timely posts. But I am still interested in reading the exchange that will follow. My feeling is […] The post “What then should we teach about hypothesis testing?” appeared first on Statistical…

Read more »

RSS feeds for statistics and related journals

January 23, 2015
By
RSS feeds for statistics and related journals

I’ve now resurrected the collection of research journals that I follow, and set it up as a shared collection in feedly. So anyone can easily subscribe to all of the same journals, or select a subset of them, to follow on feedly. There are about 90 journals on the list, mostly in statistics, but some from machine […]

Read more »

Assertive R programming in dplyr/magrittr pipelines

January 23, 2015
By
Assertive R programming in dplyr/magrittr pipelines

A lot of my job–and side projects, for that matter–involve running R scripts on updates of open government data. While I’m infinitely grateful to have access to any interesting open datasets in the first place, I can’t ignore that dealing… Continue reading →

Read more »

How Optimizely will kill your winning percentage, and why that is a great thing for you (Part 1)

January 23, 2015
By

In my HBR article about A/B testing (link), I described one of the key managerial problems related to A/B testing--the surplus of “positive” results that don’t quite seem to add up. In particular, I mentioned this issue: When managers are reading hour-by-hour results, they will sometimes find large gaps between Groups A and B, and demand prompt reaction. Almost all such fluctuations result from temporary imbalance between the two groups,…

Read more »

What’s the point of the margin of error?

January 23, 2015
By

So . . . the scheduled debate on using margin of error with non-probability panels never happened. We got it started but there was some problem with the webinar software and nobody put the participants could hear anything. The 5 minutes of conversation we did have was pretty good, though. I was impressed. The webinar […] The post What’s the point of the margin of error? appeared first on Statistical…

Read more »

Link: Data Stories Podcast 2014 Review

January 22, 2015
By

Episode 46 of the Data Stories podcast features Andy Kirk and yours truly in an epic battle for podcast dominance a review of the year 2014. This complements well my State of Information Visualization posting, and of course there is a bit of overlap (I wrote that posting after we recorded the episode – Moritz and Enrico are so slow). … Continue reading Link: Data Stories Podcast 2014 Review

Read more »

Patience and research

January 22, 2015
By

I’m going to follow up on a recent post of Thomas Basbøll and argue that patience is an important, and I think under-appreciated, practice in research. This is an odd post for me to write because I’m usually not a patient person. In some ways, though, and surprising as it may sound, blogging is a […] The post Patience and research appeared first on Statistical Modeling, Causal Inference, and Social…

Read more »

Sequential Monte Carlo 2015 workshop

January 22, 2015
By
Sequential Monte Carlo 2015 workshop

An announcement for the SMC 2015 workshop: Sequential Monte Carlo methods (also known as particle filters) have revolutionized the on-line and off-line analysis of data in fields as diverse as target tracking, computer vision, financial modelling, brain imagery, or population ecology. Their popularity stems from the fact that they have made possible to solve numerically many […]

Read more »

What is an empty matrix?

January 22, 2015
By
What is an empty matrix?

At the beginning of my book Statistical Programming with SAS/IML Software I give the following programming tip (p. 25): Do not confuse an empty matrix with a matrix that contains missing values or with a zero matrix. An empty matrix has no rows and no columns. A matrix that contains […]

Read more »

Some statistical dirty laundry

January 22, 2015
By
Some statistical dirty laundry

It’s an apt time to reblog the “statistical dirty laundry” post from 2013 here. I hope we can take up the recommendations from Simmons, Nelson and Simonsohn at the end (Note [5]), which we didn’t last time around. ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ I finally had a chance to fully read the 2012 Tilberg Report* on “Flawed Science” last night. Here are […]

Read more »

Debate on using margin of error with non-probability panels

January 22, 2015
By
Debate on using margin of error with non-probability panels

Tomorrow (Thurs 22 Jan) at 2pm, I’m participating (along with Jane Tang, John Bremer, Nancy Brigham, and Steve Mossup) on an online discussion, moderated by Annie Pettit, on the above topic. Here’s the description: Most marketing researchers know that using Margin of Error with convenience samples, non-probability samples, and online research panels is inappropriate. However, […] The post Debate on using margin of error with non-probability panels appeared first on…

Read more »

Data as an antidote to aggressive overconfidence

January 21, 2015
By

A recent NY Times op-ed reminded us of the many biases faced by women at work. A followup op-ed  gave specific recommendations for how to conduct ourselves in meetings. In general, I found these very insightful, but don't necessarily agree with the recommendations that women should "Practice Assertive Body Language".  Instead, we should make an effort to judge

Read more »

Link: Data Viz Done Right

January 21, 2015
By

Andy Kriebel’s Data Viz Done Right is a remarkable little website. He collects good examples of data visualization and talks about what works and what doesn’t. He does have bits of criticism sometimes, but he always has more positive than...

Read more »

High risk, low return

January 21, 2015
By

This one is just too good not to share. I came across it via a link from Retraction Watch. Director of Paris journalism school suspended for plagiarism: Executive director of journalism school at Sciences-Po university suspended while the university investigates accusations she was plagiarising other people’s articles for columns in the Huffington Post . . […] The post High risk, low return appeared first on Statistical Modeling, Causal Inference, and…

Read more »

Boxes or lines: showing the trend in US adoptions

January 21, 2015
By
Boxes or lines: showing the trend in US adoptions

Time used a pair of area charts (a form of treemap) to illustrate the trend in Americans adopting babies of foreign origin. The data consist of the number of babies labeled by country of birth in 1999 and in 2013....

Read more »


Subscribe

Email:

  Subscribe