Posts Tagged ‘ Statistical computing ’

Birthday analysis—Friday the 13th update, and some model checking

May 18, 2016
By
Birthday analysis—Friday the 13th update, and some model checking

Carl Bialik and Andrew Flowers at fivethirtyeight.com (Nate Silver’s site) ran a story following up on our birthdays example—that time series decomposition of births by day, which is on the cover of the third edition of Bayesian Data Analysis using data from 1968-1988, and which then Aki redid using a new dataset from 2000-2014. Friday […] The post Birthday analysis—Friday the 13th update, and some model checking appeared first on…

Read more »

Point summary of posterior simulations?

May 14, 2016
By

Luke Miratrix writes: ​In the applied stats class ​I’m teaching ​on​ hierarchical models I’m giving the students (a mix of graduate students, many from the education school, and undergrads) a taste of Stan. I have to give them some “standard” way to turn Stan output into a point estimate (though of course I’ll also explain […] The post Point summary of posterior simulations? appeared first on Statistical Modeling, Causal Inference,…

Read more »

Stochastic natural-gradient EP

April 22, 2016
By

Yee Whye Teh sends along this paper with Leonard Hasenclever, Thibaut Lienart, Sebastian Vollmer, Stefan Webb, Balaji Lakshminarayanan, and Charles Blundell. I haven’t read it in detail but they not similarities to our “expectation propaga...

Read more »

A new idea for a science core course based entirely on computer simulation

April 21, 2016
By

I happen to come across this post from 2011 that I like so much, I thought I’d say it again: Columbia College has for many years had a Core Curriculum, in which students read classics such as Plato (in translation) etc. A few years ago they created a Science core course. There was always some […] The post A new idea for a science core course based entirely on computer…

Read more »

Black Box Challenge

April 9, 2016
By
Black Box Challenge

Georgy Cheremovskiy writes: I’m one of the organizers of an unusual reinforcement learning competition named Black Box Challenge. The conception is simple — one need to program an agent that can play a game with unknown rules. At each time step agent is given an environment state vector and has a few possible actions. The […] The post Black Box Challenge appeared first on Statistical Modeling, Causal Inference, and Social…

Read more »

“Rbitrary Standards”

March 27, 2016
By

Allen and Michael pointed us on the Stan list to these amusing documents by Oliver Keyes: Rbitrary Standards: “This is an alternate FAQ for R. Specifically, it’s an FAQ that tries to answer all the questions about R’s weird standards, format...

Read more »

Actually, I’d just do full Bayes

March 19, 2016
By

Dave Clark writes: I was hoping for your opinion on a topic related to hierarchical models. I am an actuary and have generally worked with the concept of hierarchical models in the context of credibility theory. The text by Bühlmann and Gisler (A Course in Credibility Theory; Springer) sets up the mixed models under the […] The post Actually, I’d just do full Bayes appeared first on Statistical Modeling, Causal…

Read more »

Stan Case Studies Launches

March 18, 2016
By
Stan Case Studies Launches

There’s a new section of the Stan web site, with case studies meant to illustrate statistical methodologies, classes of models, application areas, statistical computation, and Stan programming. Stan Case Studies The first ten or so are up, including a grab bag of education models from Daniel Furr at U.C. Berkeley: Hierarchical Two-Parameter Logistic Item Response […] The post Stan Case Studies Launches appeared first on Statistical Modeling, Causal Inference, and…

Read more »

Bayesian inference for network links

March 8, 2016
By

A colleague writes: I’m working with a doctoral student on a latent affinity network problem and we keep hitting challenges in sampling, in our case using Metropolis-Hastings, for the network links. As you can imagine, lots of local modes, things get stuck, etc . . . Any suggestions on how to sample network links? My […] The post Bayesian inference for network links appeared first on Statistical Modeling, Causal Inference,…

Read more »

Fitting the birthday model in Stan

February 29, 2016
By

I’m scheduling these posts a few months ahead of time, and I realize this is the perfect date for an update on the birthday model. Can we fit in Stan yet? As of this writing, I don’t know. But Aki and Seth assure me that we’re close...

Read more »


Subscribe

Email:

  Subscribe