Conferences / StanCon
StanCon 2019 Cambridge
Aug 20–23, 2019 · University of Cambridge, Cambridge, United Kingdom
- Conference
- StanCon Data science & ML
- Dates
- Aug 20, 2019 – Aug 23, 2019
- Venue
- University of Cambridge
- Place
- Cambridge, United Kingdom
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- mc-stan.org
- Recorded
- 0 sponsors · 67 speaker appearances
- Notes
- Tutorials Aug 20-21, conference Aug 22-23. Submitted talks (with video links) from the programme page; tutorial instructors from the StanCon talks archive.
Ticket prices
No ticket prices recorded
Sponsors 0
No sponsors recorded
Speakers and talks 67
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Ada Miltz | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Aki Vehtari | — | Speaker | A Decision-Theoretic Journey From Early Clinical Data to Late Stage Efficacy using Hierarchical Joint Models. Krzysztof Sakrejda, Eric Novik. Generable Abstract Video Stacking for multimodal posterior distributions | Video |
| Aki Vehtari | — | Workshop | Model assessment and selection | — |
| Aki Vehtari | — | Speaker | Approximate leave-future-out cross-validation for Bayesian time series models | Video |
| Aki Vehtari (Aalto) | — | Speaker | Bayesian leave-one-out cross-validation for large data | Video |
| Alison Brown | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Andrew Gelman | — | Speaker | A Decision-Theoretic Journey From Early Clinical Data to Late Stage Efficacy using Hierarchical Joint Models. Krzysztof Sakrejda, Eric Novik. Generable Abstract Video Stacking for multimodal posterior distributions | Video |
| Anne Presanis | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Ben Goodrich | — | Workshop | Hierarchical Modeling with Stan | — |
| Breck Baldwin | — | Workshop | Introduction to Stan for Programmers | — |
| Charles Margossian | — | Workshop | Population and ODE-based models using Stan and Torsten | — |
| Christian Althaus | Institute of Social and Preventive Medicine, University of Bern, Switzerland | Speaker | The emergence of HIV resistance to antiretroviral therapy in southern Africa: a mechanistic meta-analysis of survey data | Video |
| Christopher Jackson (presenting author) | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Cuong Chau | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Daniel Lee | Generable | Speaker | Fast Forward Like a Lambo (skrrt skrrt) | Video |
| Daniel Lee | — | Workshop | A Dive into Stan’s C++ Model Concept | — |
| Daniel Simpson (University of Toronto) | — | Speaker | Structured priors for survey estimates in the presence of non-representative data | Video |
| Daniela De Angelis (MRC Biostatistics Unit | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Davor Sluga (UL) | — | Speaker | The State of GPU Computation Support for Stan | Video |
| Elea McDonnell Feit | Drexel University, The Wharton School | Speaker | Profit-Maximizing A/B Tests | Video |
| Eren M | Elçi, Sam Brilleman | Speaker | Bayesian analyses of time-to-event data using the rstanarm R package | Video |
| Erik Štrumbelj (UL) | — | Speaker | The State of GPU Computation Support for Stan | Video |
| Forrest Eli Hurley | North Carolina State University | Speaker | Simulation of Statistic Mechanical Systems using Stan | Video |
| Hamish Mohammed | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Hyeonseop Lee | — | Speaker | When seasonality meets Bayesian: Decomposing seasonalities in Stan | Video |
| Hyunji Moon | — | Speaker | When seasonality meets Bayesian: Decomposing seasonalities in Stan | Video |
| Jim Savage | — | Speaker | Prior choice in logit models of discrete choice | Video |
| Johan Jonasson (Chalmers Technical University) | — | Speaker | Bayesian leave-one-out cross-validation for large data | Video |
| Jonah Gabry | — | Speaker | Approximate leave-future-out cross-validation for Bayesian time series models | Video |
| Jonah Gabry | — | Workshop | Basics of Bayesian inference and Stan | — |
| Jonathan Auerbach | — | Workshop | Introduction to Stan for Programmers | — |
| Julien Riou | Institute of Social and Preventive Medicine, University of Bern, Switzerland | Speaker | The emergence of HIV resistance to antiretroviral therapy in southern Africa: a mechanistic meta-analysis of survey data | Video |
| Jure Demšar (UL) | — | Speaker | The State of GPU Computation Support for Stan | Video |
| Kathy Lowndes | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Katy Davison | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Kevin S | Van Horn | Speaker | Chronikis: a Bayesian time-series modeling language | Video |
| Lauren Kennedy | — | Workshop | Basics of Bayesian inference and Stan | — |
| Lauren Kennedy (Columbia University) | — | Speaker | Structured priors for survey estimates in the presence of non-representative data | Video |
| Leah Comment | — | Speaker | Prediction and causal inference for time-to-event outcomes truncated by death | Video |
| Måns Magnusson (Aalto) | — | Speaker | Bayesian leave-one-out cross-validation for large data | Video |
| Matthias Egger | Institute of Social and Preventive Medicine, University of Bern, Switzerland | Speaker | The emergence of HIV resistance to antiretroviral therapy in southern Africa: a mechanistic meta-analysis of survey data | Video |
| Matthias S | Ullrich, and Marc-Thorsten Hütt | Speaker | Modeling cocoa bean fermentation processes | Video |
| Mauricio Moreno-Zambrano | Ullrich, and Marc-Thorsten Hütt | Speaker | Modeling cocoa bean fermentation processes | Video |
| Michael Riis Andersen (Danish Technical University) | — | Speaker | Bayesian leave-one-out cross-validation for large data | Video |
| Mikael Brunila | — | Speaker | The Currency of Place and the Short-Term Rental Market | Video |
| Noel Gill (Public Health England) | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Paul Bürkner | — | Speaker | Approximate leave-future-out cross-validation for Bayesian time series models | Video |
| Philip Maybank | Numerical Algorithms Group (NAG) | Speaker | Extending Stan’s Automatic Differentiation (AD) capabilities using dco/c++ | Video |
| PUBG | — | Speaker | When seasonality meets Bayesian: Decomposing seasonalities in Stan | Video |
| Rok Češnovar (University of Ljubljana - UL) | — | Speaker | The State of GPU Computation Support for Stan | Video |
| Ron Berman | Drexel University, The Wharton School | Speaker | Profit-Maximizing A/B Tests | Video |
| Ross Harris | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Rowan Swiers | AstraZeneca | Speaker | Handling missing data, censored values and measurement error in machine learning models using multiple imputation for early stage drug discovery | Video |
| Sara Croxford | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Sarika Desai | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Sean Talts (Columbia University) | — | Speaker | The State of GPU Computation Support for Stan | Video |
| Sergio Grimbs | Ullrich, and Marc-Thorsten Hütt | Speaker | Modeling cocoa bean fermentation processes | Video |
| SNU | — | Speaker | When seasonality meets Bayesian: Decomposing seasonalities in Stan | Video |
| Stephanie Migchelsen | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Steve Bronder (Capital One) | — | Speaker | The State of GPU Computation Support for Stan | Video |
| Tadej Ciglarič (UL) | — | Speaker | The State of GPU Computation Support for Stan | Video |
| Teddy Groves | DTU BIOSUSTAIN Quantitative Modelling of Cell Metabolism Team | Speaker | Modelling enzyme kinetics with Stan | Video |
| University of Cambridge); Peter Kirwan | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Valerie Delpech | — | Speaker | Estimating the prevalence of HIV infection in England using Bayesian evidence synthesis | Video |
| Yi Zhang | — | Workshop | Population and ODE-based models using Stan and Torsten | — |
| Yuling Yao | — | Speaker | A Decision-Theoretic Journey From Early Clinical Data to Late Stage Efficacy using Hierarchical Joint Models. Krzysztof Sakrejda, Eric Novik. Generable Abstract Video Stacking for multimodal posterior distributions | Video |
| Yuxiang Gao (University of Toronto) | — | Speaker | Structured priors for survey estimates in the presence of non-representative data | Video |