Programme

3 sessions, 3 time zones, attend one or all three

Session 1

BST       ET       PT

08:30 / 03:30 / 00:30    Virtual coffee

09:00 / 04:00 / 01:00    Live welcome from StanCon UK Committee

09:04 / 04:04 / 01:04    6 x 1 minute pitches

09:10 / 04:10 / 01:10    Plenary: Hierarchical Models for Covid - identifying effects of lockdown and an R packageSeth Flaxman, Imperial College, London

09:50 / 04:50 / 01:50    Discussion

10:00 / 05:00 / 02:00    6 x 1 minute pitches, followed by 9 minute discussions:

10:06 / 05:06 / 02:06    Hierarchical Bayes and logistic growth: Predicting diagnosed COVID19 cases and the corresponding    burden on health care systemsBrynjólfur Gauti Jónsson, Birgir Hrafnkelsson, Jón Magnús Jónsson, Jóhanna Jakobsdóttir, Bergdís Björg Sigurjónsdóttir, Þórarinn Jónmundsson, Sigríður Haraldsdóttir, Unnur A. Valdimarsdóttir, Thor Aspelund, Directorate of Health (Iceland), Center of Public Health Sciences (University of Iceland), Department of Mathematics (University of Iceland), Icelandic Heart Association, National University Hospital of Iceland

10:15 / 05:15 / 02:15    Process fault detection using Stan, Jerzy Baranowski, Waldemar Bauer, Rafał Mularczyk, Bartłomiej Gondek, AGH University of Science & Technology, Kraków, Poland

10:24 / 05:24 / 02:24    Failure prediction in hierarchical equipment system: spline fitting naval ship failureHyunji Moon, Jinwoo Choi, Hyeonseop Lee, Seoul National University

10:33 / 05:33 / 02:33   baggr: a new meta-analysis package using StanWitold Wiecek and Rachael Meager, London School of Economics

10:42 / 05:42 / 02:42    Towards an Interface for Streaming StanSimon Maskell and Alessandro Varsi, University of Liverpool

10:51 / 05:51 / 02:51    Enforcing stationarity through the prior in vector autoregressionsSarah Heaps, Newcastle University

11:00 / 06:00 / 03:00    Virtual coffee and poster session

13:30 / 08:30 / 05:30    End of session

Session 2

BST       ET       PT

16:30 / 11:30 / 08:30    Virtual coffee

17:00 / 12:00 / 09:00    Live welcome from StanCon UK + US Committee

17:10 / 12:10 / 09:10    Code of Conduct working group, Steve Bronder and Lauren Kennedy

   

17:14 / 12:14 / 09:14    Stan Governing Body update, Jonah Gabry 

17:20 / 12:20 / 09:20   6 x 1 minute pitches

17:32 / 12:32 / 09:32    Developer talk 1: posteriordb: a database with data, models and posteriorsAki Vehtari, Måns Magnusson, Aalto University

17:39 / 12:39 / 09:39    Developer talk 2: Scaling Stan's performance with `reduce_sum` in practice, Sebastian Weber, Ben Bales, Steve Bronder, Mitzi Morris, Rok Češnovar, Imperial College of London COVID-19 team, Novartis Pharma AG, Basel, Switzerland, Columbia University, University of Ljubljana

17:46 / 12:46 / 09:46    Developer talk 3: The State of GPU Computation Support for Stan, Steve Bronder, Erik Štrumbelj, Rok Češnovar, Davor Sluga, Jure Demšar, Tadej Ciglarič, Sean Talts, Columbia University, University of Ljubljana

17:53 / 12:53 / 09:53    Developer talk 4: Approximate Bayesian inference for latent Gaussian processes in Stan, Charles Margossian, Aki Vehtari, Daniel Simpson, Raj Agrawal, Columbia University, Department of Statistics; Aalto University, Department of Computer Science; University of Toronto, Department of Statistical Sciences; Massachusetts Institute of Technology, CSAIL

18:00 / 13:00 / 10:00    Plenary: Multi-Source Information Modeling, Curation, and Fusion Enabling Transdisciplinary Decision-Making: A Case for Space! Moriba Jah, Oden Institute for Computational Engineering & Sciences

18:50 / 13:50 / 10:50    Discussion

19:00 / 14:00 / 11:00    6 x 1 minute pitches, followed by 9 minute discussions:

19:06 / 14:06 / 11:06    Using Stan for Spatial Smoothing of Regression Parameters, Wade Brorsen, Bart Niyizibi, Davood Pourvina, Eunchun Park, Oklahoma State University

19:15 / 14:15 / 11:15    Multivariate Synthetic Control to Estimate Missing Data in Hierarchically Correlated Series, Sean Pinkney, Tyler Morrison, Gaurav Shahane, Comscore, Inc.

19:24 / 14:24 / 11:24   Bayesian Causal Effect Estimation with Stan: Parametric and Nonparametric ApproachesArman Oganisian, Jason A. Roy, University of Pennsylvania

19:33 / 14:33 / 11:33   Building effective uncertainty visualizations with Stan/brms, tidybayes, and ggdist, Matthew Kay, University of Michigan

19:42 / 14:42 / 11:42    API for iterative interrogation of stanfit objects in RJonathan Sidi, Associate Director of Modeling and Simulation at Sage Therapeutics

19:51 / 14:51 / 11:51    Bayesian Inference without Probability Density Functions, Ben Goodrich, Columbia University​

20:00 / 15:00 / 12:00    Virtual coffee and poster session

 

21:30 / 16:30 / 13:30    End of session

Session 3

BST       ET       PT

00:30 / 19:30 / 16:30    Virtual coffee

01:00 / 20:00 / 17:00    Live welcome from StanCon Committee

01:04 / 20:04 / 17:04    6 x 1 minute pitches

01:10 / 20:10 / 17:10    Plenary: STAN and US Politics, David Shor

01:50 / 20:50 / 17:50    Discussion

02:00 / 21:00 / 18:00    6 x 1 minute pitches, followed by 9 minute discussions:

02:06 / 21:06 / 18:06    Spatial models for plant neighborhood dynamics in Stan, Cristina Barber, Andrii Zaiats, Cara Applestein, Trevor Caughlin, Boise State University

02:15 / 21:15 / 18:15   Stress-testing the Dawid–Skene model: Analysis of repeated categorical ratings, Damjan Vukcevic, Jeffrey Pullin, Lyle Gurrin, University of Melbourne

02:24 / 21:24 / 18:24   ArviZ, InferenceData, and NetCDF: A unified file format for Bayesians, Ravin Kumar, Oriol Abril-Pla, Osvaldo Martin, Piyush Gautam, Ari Hartikainen , Alexandre Andorra, ArviZ (all)

02:33 / 21:33 / 18:33    Orbit: Probabilistic Forecast with Exponential Smoothing, Edwin Ng, Zhishi Wang, Steve Yang, Uber

02:42 / 21:42 / 18:42    Effortless frequentist covariances of posterior expectations in Stan, Ryan Giordano, Tamara Brodercik, MIT

02:51 / 21:51 / 18:51    Virtual coffee and poster session

05:30 / 00:30 / 21:30    End of session

Gradients

We are working with a UK based event management company, Kinetix Events, to help organise StanCon 2020. 

If you have questions please contact:

stancon2020@gmail.com

Call/WhatsApp: +44 (0) 7934 064002

QUESTIONS?