This event has ended. Visit the official site or create your own event on Sched.

user2016

Click here to return to main conference site. For a one page, printable overview of the schedule, see this.

AM

Alex Monte Calvo

Electronic Arts

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140 Using Git and GitHub with R, Rstudio, and R Markdown (Part 1) Lyons & Lodato

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140 Using Git and GitHub with R, Rstudio, and R Markdown (Part 2) Lyons & Lodato

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130 Effective Shiny Programming (Part 1) McCaw Hall Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130 Effective Shiny Programming (Part 2) McCaw Hall Extracting data from the web APIs and beyond (Part 2) Campbell Rehearsal Hall

8:30am PDT

Opening Session McCaw Hall

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:06am PDT

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130 Fitting complex Bayesian models with R-INLA and MCMC Barnes & McDowell & Cranston

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion

4:45pm PDT

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato

5:21pm PDT

Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification SIEPR 130

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Empowering Business Users with Shiny SIEPR 120

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

1:36pm PDT

Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider McCaw Hall

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall

10:40am PDT

Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package Econ 140

10:45am PDT

Clustering of Hierarchically-Linked Multivariate Datasets Econ 140

11:06am PDT

Estimation of causal effects in network-dependent data McCaw Hall

11:10am PDT

Event Detection with Social Media Data Econ 140

11:25am PDT

Outlier Detection Methods Econ 140

1:20pm PDT

shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript SIEPR 130

1:35pm PDT

Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R SIEPR 130