We’re headed west for a week!
Here are the things we have lined up so far:
Mon, Jan 8, 1-3 PM. Tue, Jan 9. 12-3 PM. San Francisco
We’re hosting office hours at Press Club, 20 Yerba Buena Ln. If you’re interested in the application of Bayesian methods in healthcare or using Stan within industry, please book some time with us: http://bit.ly/GenerableHQ.
Tue, Jan 9, 6 - 8 PM.
Location: Zymergen, Inc. 5980 Horton St, Emeryville.
Cost: Free with registration
Eric and Daniel will be giving a talk at the Bay Area Probabilistic Programming meetup.
Stan is an open source probabilistic programming language that was released in 2011 by a small team of developers at Columbia University. Today, Stan has thousands of users across many industries and is growing rapidly.
Stan includes a flexible modeling language for expressing statistical models and a set of inference algorithms, most notably HMC with NUTS which is revolutionizing high dimensional statistical computing. Stan also includes a set of ODE (Ordinary Differential Equation) solvers developed in collaboration with Novartis that are particularly useful in Pharma and other industries that are interested in mechanistic and semi-mechanistic models.
At Generable we are building an analytics platform targeted at the healthcare market where data alone are not enough to inform statistical inferences. This is particularly relevant to Rare Diseases, Pediatrics, and Oncology where patient populations are small and the mechanism of action may not be understood but could be reasonably approximated. In these cases, most traditional methods of inference simply do not work.
In this talk will focus on a clinical meta-analysis model and highlight all the steps of Bayesian analysis, emphasizing which parts of the workflow we are automating.
The talk is open to the public. We’ll be heading down to StanCon right after the talk.
Wed - Fri, Jan 10 - 12. Asilomar.
We’re really proud to be sponsoring StanCon 2018! We’re involved with the organization of this year’s conference and you can catch us here:
Short course: Executive decision making the Bayesian way.
Wed - Fri, 8 - 9 am.
Eric is co-teaching this course.
Talk: A brief history of Stan.
Thu, 12:10 - 12:30 pm.
Daniel will be discussing some of the history of Stan.