I'm going to try Monday's for the links. Let me know what you think. The Guardian is reading our blog. A week after Rafa posts that everyone should learn to code for career preparedness, the Guardian gets on the bandwagon. … Continue reading →

I'm going to try Monday's for the links. Let me know what you think. The Guardian is reading our blog. A week after Rafa posts that everyone should learn to code for career preparedness, the Guardian gets on the bandwagon. … Continue reading →

A data analysis surprise party. Simple question If I have correlation matrices each estimated with a month of daily returns, how much worse is the average of six of those compared to the estimate with six months of daily data? Expected answer Do a statistical bootstrap with the returns and compare the standard deviations across … Continue reading →

The BayesFactor packageThis blog is a companion to the BayesFactor package in R (website), which supports inference by Bayes factors in common research designs. Bayes factors have been proposed as more principled replacements for common classical statistical procedures such as \(p\) values; this blog will offer tutorials in using the package for data analysis.In this first post, I describe the general logic of Bayes factors using a very simple research…

XL sent me this paper, “A Fruitful Resolution to Simpson’s Paradox via Multi-Resolution Inference.” I told Keli and Xiao-Li that I wasn’t sure I fully understood the paper—as usual, XL is subtle and sophisticated, also I only get about half of his jokes—but I sent along these thoughts: 1. I do not think counterfactuals or […]The post Keli Liu and Xiao-Li Meng on Simpson’s paradox appeared first on Statistical Modeling,…

Day #3: Spanos lecture notes 2, and reading/resources from Feb 6 seminar 6334 Day 3 slides: Spanos-lecture-2 ___ Crupi & Tentori (2010). Irrelevant Conjunction: Statement and Solution of a New Paradox, Phil Sci, 77, 1–13. Hawthorne & Fitelson (2004). Re-Solving Irrelevant Conjunction with Probabilistic Independence, Phil Sci 71: 505–514. Skryms (1975) Choice and Chance 2nd ed. Chapter V and Carnap (pp. 206-211), Dickerson Pub. […]

Sometimes I have a few minutes where I can work, but I don’t feel like working. So I follow the blogroll, this time from here to here: Sabino Kornrich, Julie Brines, Katrina Leupp. Egalitarianism, Housework, and Sexual Frequency in Marriage American Sociological Review February 2013 vol. 78 no. 1 26-50 doi: 10.1177/0003122412472340 Data are from Wave […]The post “Guys who do more housework get less sex” appeared first on Statistical Modeling,…

I occasionally get email asking how to detect whether seasonality is present in a data set. Sometimes the period of the potential seasonality is known, but in other cases it is not. I’ve discussed before how to estimate an unknown seasonal period, and how to measure the strength of the seasonality. In this post, I want to look at testing if a series is seasonal when the potential period is…

Mark Palko passes this one along from high school principal Carol Burris: My music teacher, Doreen, brought me her second-grade daughter’s math homework. She was already fuming over Education Secretary Arne Duncan’s remark about why “white suburban moms” oppose the Common Core, and the homework added fuel to the fire. The problem that disturbed her […]The post Outrage of the week appeared first on Statistical Modeling, Causal Inference, and Social…

I am currently working on a paper on Academic Blogging, from my own experience. And I wanted to do something similar to Stephen Wolfram’s personal analytics of my life. More specifically, I wanted to understand when I do post my blog entries. If I post more entries during office hours, then it should mean that, indeed, I consider my blog as a part of my job (which is something I believe, actually).…

The mis-use of "all else being equal" in statistics and much of the social sciences is a disease. The key to diagnosing this abuse is to recognize that there are two modes of "all else being equal". I call it the "design" mode and the "pretend" mode. An example of using "all else being equal" in the design mode is the classic randomization principle. If we run an A/B test…

Another of the all ye entering here. Issue When subscripting an xts object, columns that don’t exist in the object are silently ignored. Example First, create an xts object: xtx <- xts(cbind(a=1:4, b=11:14, c=21:24), order=Sys.Date() + 1:4) which looks like: > xtx a b c 2014-02-07 1 11 21 2014-02-08 2 12 22 2014-02-09 3 […] The post An xts R Inferno-ism appeared first on Burns Statistics.

I spent a lot of time this week writing a short tutorial on knitr: knitr in a knutshell. This is my third little tutorial. (The previous ones were a git/github guide and a minimal make tutorial.) I’m pleased with these tutorials. In learning new computing skills, it can be hard to get started. My goal […]