Govind Manian points me to this online textbook by Alex Reinhart. It’s hard for me to evaluate because I am so close to the material. But on first glance it looks pretty reasonable to me. The post “Statistics Done Wrong” appeared fi...

Govind Manian points me to this online textbook by Alex Reinhart. It’s hard for me to evaluate because I am so close to the material. But on first glance it looks pretty reasonable to me. The post “Statistics Done Wrong” appeared fi...

I had invited Larry to give an update, and I’m delighted that he has! The discussion relates to the last post (by Spanos), which follows upon my deconstruction of Wasserman*. So, for your Saturday night reading pleasure, join me** in reviewing this and the past two blogs and the links within. “Wasserman on Wasserman: Update! […]

This follows up on yesterday’s deconstruction: Aris Spanos (2012)[i] – Comments on: L. Wasserman “Low Assumptions, High Dimensions” (2011)* I’m happy to play devil’s advocate in commenting on Larry’s very interesting and provocative (in a good way) paper on ‘how recent developments in statistical modeling and inference have [a] changed the intended scope of data analysis, […]

Recently I have read a post on benefits of code devectorization in Julia. The examples given there inspired me to perform my own devectorization exercise. I decided to use bootstrapping as a test ground. The results are quite interesting (and not so ba...

I received the following question: Is there a classic paper on instrumenting for survey non-response? some colleagues in public health are going to carry out a survey and I wonder about suggesting that they build in a randomization of response-encouragement (e.g. offering additional $ to a subset of those who don’t respond initially). Can you […]The post Using randomized incentives as an instrument for survey nonresponse? appeared first on Statistical…

In the past few months I have written posts about implementing the bubble sort algorithm in different languages. In the mean while I have gotten some feedback and suggestions regarding improvements to the implementation I made, see the end of… See more ›

Generated with pictures from http://nohrsc.noaa.gov/nh_snowcover/ data can be downloaded from ftp://sidads.colorado.edu/DATASETS/NOAA/G02158 See also the Global Sea Ice Area time series, > d=read.table("http://arctic.atmos.uiuc.edu/cryosphere/timeseries.global.anom.1979-2008") > tail(d) V1 V2 V3 V4 12778 2013.984 0.7913005 18.42697 17.63567 12779 2013.986 0.8523080 18.39049 17.53818 12780 2013.989 0.8819072 18.30466 17.42275 12781 2013.992 1.0200537 18.33854 17.31848 12782 2013.995 1.0612829 18.27418 17.21289 12783 2013.997 1.0163171 18.14861 17.13230 > plot(d$V1,d$V3,type="l",ylab="Global Sea Ice Area, million km2")

We’re happy to announce the release of Stan C++, CmdStan, RStan, and PyStan 2.1.0. This is a minor feature release, but it is also an important bug fix release. As always, the place to start is the (all new) Stan web pages: http://mc-stan.org Major Bug in 2.0.0, 2.0.1 Stan 2.0.0 and Stan 2.0.1 introduced […]The post (R/Py/Cmd)Stan 2.1.0 appeared first on Statistical Modeling, Causal Inference, and Social Science.

Larry Wasserman (“Normal Deviate”) has announced he will stop blogging (for now at least). That means we’re losing one of the wisest blog-voices on issues relevant to statistical foundations (among many other areas in statistics). Whether this lures him back or reaffirms his decision to stay away, I thought I’d reblog my (2012) “deconstruction” of […]

Xiao-Li says yes: The most compelling reason for having highly visible awards in any field is to enhance its ability to attract future talent. Virtually all the media and public attention our profession received in recent years has been on the utility of statistics in all walks of life. We are extremely happy for and […]The post Should statistics have a Nobel prize? appeared first on Statistical Modeling, Causal Inference,…

How much does statistical software help and how much it interferes when teaching statistical concepts? Software used in the practice of statistics (say R, SAS, Stata, etc) brings to the party a mental model that it’s often alien to students, while being highly optimized for practitioners. It is possible to introduce a minimum of distraction […]

What is often forgotten in the so-called data analysis "language wars” is that, across most of these languages, many common computations are performed using outsourced dynamically linked math libraries. For example, R; Python's Numpy; Julia; Matlab; and Mathematica all make heavy use of the BLAS linear algebra API. As a result, R can't be properly »more

I had heard the name of the new technical computing language Julia buzzing around for some time already. Now during Christmas I had some time on my hands, and implemented the bubble sort algorithm that I have already posted about… See more ›

In response to the discussion of X and me of his recent paper, Val Johnson writes: I would like to thank Andrew for forwarding his comments on uniformly most powerful Bayesian tests (UMPBTs) to me and his invitation to respond to them. I think he (and also Christian Robert) raise a number of interesting points […]The post Statistical evidence for revised standards appeared first on Statistical Modeling, Causal Inference, and…

The programs of the talks, posters and workshop are now printed and available on Speaker Deck (talks, posters, workshop). Please let me know if you spot anything wrong (even though it will not be reprinted!). This is presumably the last news item till Jan. 5 as I am almost off to Chamonix for a week […]