StanCon 2020. A 24h Global Event.

StanCon Thursday, 13 August 2020.

The conference was a 24-hour event with three main sessions spanning across different time zones (British Summer Time, Eastern Time and Pacific Time).

Program

The sessions were recorded and uploaded to YouTube. The plenary talks and the discussions can be found in the recording for the live sessions.

The abstracts to the talks are included in the video descriptions.

Recorded StanCon 2020 Videos on YouTube

Playlists:

Session 1

BST	EST	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 package,
			Seth Flaxman, Imperial College, London
			video
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
			systems, Brynjólfur 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
			video
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
			video
10:24	05:24	02:24	Failure prediction in hierarchical equipment system:
			spline fitting naval ship failure, Hyunji Moon, Jinwoo Choi,
			Hyeonseop Lee, Seoul National University
			video
10:33	05:33	02:33	baggr: a new meta-analysis package using Stan,
			Witold Wiecek and Rachael Meager, London School of Economics
			video
10:42	05:42	02:42	Towards an Interface for Streaming Stan,
			Simon Maskell and Alessandro Varsi, University of Liverpool
			video
10:51	05:51	02:51	Enforcing stationarity through the prior in vector autoregressions,
			Sarah Heaps, Newcastle University
			video
11:00	06:00	03:00	Virtual coffee and poster session
13:30	08:30	05:30	End of session

Session 2

BST	EST	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
			video
17:14	12:14	09:14	Stan Governing Body update, Jonah Gabry
			video
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
			posteriors, Aki Vehtari, Måns Magnusson, Aalto University
			video
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
			video
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
			video
17:53	12:53	09:53	Developer talk 4: Approximate Bayesian inference for latent Gaussian
			models 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
			video, code and notebook
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
			video
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
			video
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.
			video
19:24	14:24	11:24	Bayesian Causal Effect Estimation with Stan: Parametric and
			Nonparametric Approaches, Arman Oganisian, Jason A. Roy,
			University of Pennsylvania
			video
19:33	14:33	11:33	Building effective uncertainty visualizations with Stan/brms,
			tidybayes, and ggdist, Matthew Kay, University of Michigan
			video
19:42	14:42	11:42	API for iterative interrogation of stanfit objects in R,
			Jonathan Sidi, Associate Director of Modeling and Simulation at
			Sage Therapeutics
			video
19:51	14:51	11:51	Bayesian Inference without Probability Density Functions,
			Ben Goodrich, Columbia University
			video
20:00	15:00	12:00	Virtual coffee and poster session
21:30	16:30	13:30	End of session

Session 3