Mortality by Weekday and Age

February 28, 2016
By
Mortality by Weekday and Age

A few days ago, I did mention on Twitter a nice graph, with Mortality by Weekday and Age https://t.co/LyzQ7nJABZ very interesting difference, young vs. old pic.twitter.com/EfrX0C1GBS — Arthur Charpentier (@freakonometrics) 27 février 2016 My colleague Jean-Philippe was extremely sceptical, so I tried to reproduce that graph. The good thing is that we have the Social Security Death Master File, for data in the US. To be more specific, I have…

Read more »

Graphical Data Analysis with R

February 27, 2016
By

Graphical Data Analysis with R: that’s the title of Antony Unwin’s new book. Here are the chapter titles: Ch01 Setting the Scene Ch03 Examining continuous variables Ch04 Displaying Categorial Data Ch05 Looking for Structure Ch06 Investigating Multivariate Continuous Data Ch07 Studying Multivariate Categorical Data Ch08 Getting an Overview Ch09 Graphics and Data Quality Ch10 Comparisons […] The post Graphical Data Analysis with R appeared first on Statistical Modeling, Causal Inference,…

Read more »

3 YEARS AGO (FEBRUARY 2013): MEMORY LANE

February 27, 2016
By
3 YEARS AGO (FEBRUARY 2013): MEMORY LANE

MONTHLY MEMORY LANE: 3 years ago: February 2013. I mark in red three posts that seem most apt for general background on key issues in this blog [1]. Posts that are part of a “unit” or a group of “U-Phils”(you [readers] philosophize) count as one. Feb. 2013 reminds me how much the issue of the Likelihood Principle figured […]

Read more »

Humbling News for Macro-Finance Forecasters

February 26, 2016
By
Humbling News for Macro-Finance Forecasters

The two graphs below, one from Deutsche Bank for the U.S. 10-year bond yield and one from the IMF for global real GDP growth, speak for themselves. Forecasting through large structural change is always difficult; maybe the means to which the forec...

Read more »

Job opening . . . for a data graphics editor!

February 26, 2016
By
Job opening . . . for a data graphics editor!

Larry Wheeler writes: I’m the managing editor at Health Affairs, a monthly peer-reviewed journal about health policy. We publish a lot of statistical graphics submitted with manuscripts from academic, industry, and government researchers. We have a job opening for a new position we’re calling “data graphics editor.” I’ve been having trouble attracting the right kind […] The post Job opening . . . for a data graphics editor! appeared first…

Read more »

Job opening . . . for a data graphics editor!

February 26, 2016
By
Job opening . . . for a data graphics editor!

Larry Wheeler writes: I’m the managing editor at Health Affairs, a monthly peer-reviewed journal about health policy. We publish a lot of statistical graphics submitted with manuscripts from academic, industry, and government researchers. We have a job opening for a new position we’re calling “data graphics editor.” I’ve been having trouble attracting the right kind […] The post Job opening . . . for a data graphics editor! appeared first…

Read more »

A quick lesson in handling more than one messages on one chart

February 26, 2016
By
A quick lesson in handling more than one messages on one chart

Between teaching two classes, and a seminar, and logging two coast-to-coast flights, I was able to find time to rethink the following chart from the Wall Street Journal: (link to article) I like the right side of this chart, which...

Read more »

Clinton Many More Rich Supporters Than All Other Candidates Combined

February 26, 2016
By
Clinton Many More Rich Supporters Than All Other Candidates Combined

With over 26,600 supporters giving at or above the federal individual contribution maximum of $2,700, Hillary Clinton far exceeds the number of contributions by wealthy donors than any other candidate (Table 1: Huge). No only that but the number of huge contributions for Hillary Clinton exceeded the number by her chief rival Bernie Sanders by a factor of 60 to 1.Table 1: This table shows the number of campaign contributions…

Read more »

Denying the Service of a Differentially Private Database

February 26, 2016
By

Attention conservation notice: A half-clever dig at one of the more serious and constructive attempts to do something about an important problem that won't go away on its own. It doesn't even explain the idea it tries to undermine. Jerzy's "cursor...

Read more »

"Analyzing large-scale data: Taxi Tipping behavior in NYC" (This Week at the Statistics Seminar)

February 26, 2016
By

Attention conservation notice: Only of interest if you (1) care about large-scale data analysis and/or taxis, and (2) will be in Pittsburgh on Thursday Friday. The last but by no means least talk seminar talk this week: Taylor Arnold, "Analyzing la...

Read more »

Preprints are great, but post publication peer review isn’t ready for prime time

February 26, 2016
By

The current publication system works something like this: Coupled review and publication You write a paper You submit it to a journal It is peer reviewed privately The paper is accepted or rejected a. If rejected go back to step 2 and start...

Read more »

twilight zone [of statistics]

February 25, 2016
By
twilight zone [of statistics]

“I have decided that mixtures, like tequila, are inherently evil and should be avoided at all costs.” L. Wasserman Larry Wasserman once remarked that finite mixtures were like the twilight zone of statistics, thanks to the numerous idiosyncrasies associated with such models. And George Casella had similar strong reservations about mixture estimation. Avi Feller and […]

Read more »

Overwhelming Growth In National Support for Bernie Sanders Mapped

February 25, 2016
By
Overwhelming Growth In National Support for Bernie Sanders Mapped

The FEC just released the most recent campaign contributor data and the results show a strong continued widespread growth in support for Bernie Sanders across the country.Figure 1: A map of what counties and states support Bernie Sanders relative to th...

Read more »

Probability paradox may be killing thousands

February 25, 2016
By

Brian Kinghorn points to this news article by Christian Grothoff and J. M. Porup, “The NSA’s SKYNET program may be killing thousands of innocent people; ‘Ridiculously optimistic’ machine learning algorithm is ‘completely bullshit,’ says expert.” The article begins: In 2014, the former director of both the CIA and NSA proclaimed that “we kill people based […] The post Probability paradox may be killing thousands appeared first on Statistical Modeling, Causal…

Read more »

Fundamental difficulty of inference for a ratio when the denominator could be positive or negative

February 25, 2016
By
Fundamental difficulty of inference for a ratio when the denominator could be positive or negative

I happened to come across this post from 2011, which in turn is based on thoughts of mine from about 1993. It’s important and most of you probably haven’t seen it, so here it is again: Ratio estimates are common in statistics. In survey sampling, the ratio estimate is when you use y/x to estimate […] The post Fundamental difficulty of inference for a ratio when the denominator could be…

Read more »

Omitting outliers

February 24, 2016
By
Omitting outliers

Someone sent me this email today: One of my colleagues said that you once said/wrote that you had encountered very few real outliers in your work, and that normally the “outlier-looking” data points were proper data points that should not ...

Read more »

Making data analysis easier: Hadley Wickham at WOMBAT2016

February 24, 2016
By
Making data analysis easier: Hadley Wickham at WOMBAT2016

Slides for Hadley’s talk The slides for all the other talks from the workshop are also now online at wombat2016.org

Read more »

Nonprofit Stan!

February 24, 2016
By
Nonprofit Stan!

Stan is now linked to NumFocus, a 501(c)(3) nonprofit organization that serves several other open-source software projects, including NumPy, Julia, Jupyter, and others: Stan can now accept tax-deductible contributions through this foundation. If you’re interested in donating to Stan, you can contact us directly or just go through the donation page. Stan is a worthy […] The post Nonprofit Stan! appeared first on Statistical Modeling, Causal Inference, and Social Science.

Read more »

More Shiny user showcase demonstrations

February 24, 2016
By
More Shiny user showcase demonstrations

We at Win-Vector LLC are very proud to announce that RStudio just inducted two more of our demonstration Shiny applications into their Shiny User Showcase gallery. Checkout the gallery to see our demonstrations of: Finding the k in k-means A/B test interactive design and analysis tool The geometry of classifiers RStudio (the authors of Shiny) … Continue reading More Shiny user showcase demonstrations

Read more »

Stan does Valentine’s

February 24, 2016
By
Stan does Valentine’s

Today’s story starts with a bit of statistically-related fluff, a news report from Emily Crockett entitled, “Here’s how much people in your state spend on Valentine’s Day gifts”: A survey by Finder.com asked 3,121 Americans how much they spend on Valentine’s Day gifts for their loved ones, and figured out which US states spend the […] The post Stan does Valentine’s appeared first on Statistical Modeling, Causal Inference, and Social…

Read more »

On the Ethics of Expert Advocacy Consulting

February 24, 2016
By

Attention conservation notice: A ponderous elaboration of an acerbic line by Upton Sinclair. Written so long ago I've honestly forgotten what incident provoked it, then left to gather dust and re-discovered by accident. A common defense of experts c...

Read more »

Four ways to create a design matrix in SAS

February 24, 2016
By
Four ways to create a design matrix in SAS

SAS programmers sometimes ask, "How do I create a design matrix in SAS?" A design matrix is a numerical matrix that represents the explanatory variables in regression models. In simple models, the design matrix contains one column for each continuous variable and multiple columns (called dummy variables) for each classification […] The post Four ways to create a design matrix in SAS appeared first on The DO Loop.

Read more »

"Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity" (Next Week at the Statistics Seminar)

February 24, 2016
By

Attention conservation notice: Only of interest if (1) you care about factor analysis and Bayesian nonparametrics, and (2) will be in Pittsburgh on Monday. Constant readers, knowing of my love-hate relationship with both factor analysis and with Baye...

Read more »


Subscribe

Email:

  Subscribe