Introduction to Bayesian Inference with Stan: Sydney, 27 February–1 March 2019

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Introduction to Bayesian Inference with Stan: Sydney, 27 February–1 March 2019

27 February 2019 @ 9:30 am - 1 March 2019 @ 5:00 pm

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Tickets

24 available
Introduction to Bayesian Inference with Stan: Sydney, 27 February–1 March 2019A$3,900.00 A$3,600.00

Despite the promise of big data, inferences are often limited not by the size of data but rather by its systematic structure. Only by carefully modeling this structure can we take full advantage of the data—big data must be complemented with big models and the algorithms that can fit them. Stan is a platform for facilitating this modeling, providing an expressive modeling language for specifying bespoke models and implementing state-of-the-art algorithms to draw subsequent Bayesian inferences.

In this three-day course, we will introduce how to implement a robust Bayesian workflow in Stan, from constructing models to analyzing inferences and validating the underlying modeling assumptions. The course will emphasize interactive exercises run through RStan, the R interface to Stan, and PyStan, the Python interface to Stan.

We will begin by surveying probability theory, Bayesian inference, Bayesian computation, and a robust Bayesian workflow in practice, culminating in an introduction to Stan and the implementation of that workflow. With a solid foundation we will continue with a discussion of regression modeling techniques along with their efficient implementation in Stan, spanning linear regression, discrete regression, and homogeneous and heterogeneous logistic regression. Time permitting, we will consider the practical implementation of advanced modeling techniques at the state of the art of applied statistics research—such as Gaussian process priors and the horseshoe prior.

Prerequisites

The course will assume familiarity with the basics of calculus and linear algebra.

To participate in the interactive exercises, attendees must provide a laptop with the latest version of RStan or PyStan installed. Users are encouraged to report any installation issues at the Stan forum as early as possible.

The instructor: Michael Betancourt

Michael Betancourt is a research scientist with Symplectomorphic, where he develops theoretical and methodological tools to support practical Bayesian inference. He is also a core developer of Stan, where he implements and tests these tools. In addition to hosting tutorials and workshops on Bayesian inference with Stan, he also collaborates on analyses in epidemiology, pharmacology, and physics, among others. Before moving into statistics, Michael earned a BS from the California Institute of Technology and a PhD from the Massachusetts Institute of Technology, both in physics. Find out more at Michael’s website.

To read what students are saying about Michael’s courses, please scroll to the bottom of his consulting page.

Earlybird pricing is available until 13 February 2019.

Group discounts also apply during the earlybird period: 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Select your desired quantity of tickets and click “Add to cart” to see the discount calculated before checkout.

Please contact us at enquiries@presciient.com to find out more about these special rates.


Questions and further details

Meals and refreshments

Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.

Feedback

Use enquiries@presciient.com to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.

If you would like to attend but for any reason cannot, please also let us know.

Variation

Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.

Cancellations and refunds

You can get a full refund if you cancel 2 weeks or more before the course starts. No refunds will be issued for cancellations made less than 2 weeks before the course starts.

Frequently asked questions (FAQ)

Do I need to bring my own computer?

To participate in the interactive exercises, attendees must provide a laptop with the latest version of RStan or PyStan installed. Users are encouraged to report any installation issues at the Stan forum as early as possible.

I'm lost! How do I find the venue?

Please call +61 4 1457 3322 or email training@presciient.com if you can’t find the venue.

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Details

Start:
27 February 2019 @ 9:30 am
End:
1 March 2019 @ 5:00 pm
Event Category:

Organizer

Presciient
Website:
https://presciient.com

Venue

BCA, Sydney
BCA, Level 1, 65 York Street
Sydney, New South Wales 2000 Australia
+ Google Map
Phone:
+61 2 8585 5566

Tickets

24 available
Introduction to Bayesian Inference with Stan: Sydney, 27 February–1 March 2019A$3,900.00 A$3,600.00