Tag: stan

Author: Jack Kennedy

Published: August 31, 2023

UFO sightings are a mysterious occurrence! We're going to use Bayesian methods via Stan and R to analyse UFO sighting reports over the past century.

Author: Jack Kennedy

Published: February 9, 2023

You've heard about Stan and want to learn a little more. Or maybe you're about to step into the Bayesian paradigm and don't know where to start. In this post, we'll take a look what you can do with Stan and draw comparisons to JAGS.

Author: Clarissa Barratt

Published: February 7, 2023

We have a great list of online public training courses coming up over the next two months! Read on for a taste of what's in store, or head over to our training page for full details and to book!

Author: Osheen Macoscar

Published: October 22, 2021

Our annual training review is back! Like many other training providers, we had to pivot to online learning in 2020, which brought with it challenges but also new opportunities. The review will show you what the year looked like for our trainers and training course attendees, including which trainer taught the most courses!

Author: John McIntyre

Published: May 18, 2021

Good news! We have updated our public course page with our new programme of courses, being delivered between May and November. Early bird offers & academic discounts currently available.

Published: October 13, 2020

Don’t we all miss 2019 (blame Covid for the long delay in this post). The days of going to work and seeing your work colleagues face to face - and for some of you, attending one of our on-site training courses! 2019 was a great year for us.

Published: January 24, 2018

This year we had the privilege of sponsoring StanCon. Unfortunately, we weren’t able to actually attend the conference. Rather than let our ticket go to waste, we ran a small competition, which Ignacio Martinez won with his very cool (but in alpha stage) R package.

Published: November 29, 2017

Today we are happy to announce our Stan contest. Something we feel very strongly at Jumping Rivers is giving back to the community. We have benefited immensely from hard work by numerous people, so when possible, we try to give something back.

Published: November 20, 2017

Stan is freedom-respecting, open-source software for facilitating statistical inference at the frontiers of applied statistics. Or to put it another way, it makes Bayesian inference fast and (a bit) easier.