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Kai Wang

Electronic Arts
Sr. Data Scientist
San Francisco Bay Area

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 1) Barnes

10:15am PDT

Coffee Break Barnes

10:30am PDT

Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 2) Barnes

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall

8:00am PDT

Registration check-in McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

edeaR: Extracting knowledge from process data Econ 140

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

Fitting complex Bayesian models with R-INLA and MCMC Barnes & McDowell & Cranston

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston CVXR: An R Package for Modeling Convex Optimization Problems McCaw Hall

1:54pm PDT

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120 Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

Wrap your model in an R package! SIEPR 120

2:30pm PDT

Community detection in multiplex networks : An application to the C. elegans neural network Sponsor Pavilion DiLeMMa - Distributed Learning with Markov Chain Monte Carlo Algorithms with the ROAR Package Sponsor Pavilion mvarVis: An R package for Visualization of Multivariate Analysis Results Sponsor Pavilion Sequence Analysis with Package TraMineR Sponsor Pavilion Statistics and R for Analysis of Elimination Tournaments Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions SIEPR 130

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

5:39pm PDT

Rho: High Performance R McCaw Hall xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm PDT

Rectools: An Advanced Recommender System SIEPR 130

6:30pm PDT

Welcome Reception Bing Concert Hall

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Predicting individual treatment effects Lane & Lyons & Lodato

10:48am PDT

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

11:24am PDT

Network Diffusion of Innovations in R: Introducing netdiffuseR McCaw Hall

11:42am PDT

Multivoxel Pattern Analysis of fMRI Data Lane & Lyons & Lodato

1:00pm PDT

mumm: An R-package for fitting multiplicative mixed models using the Template Model Builder (TMB) Econ 140

1:18pm PDT

Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics Econ 140

1:36pm PDT

Revisiting the Boston data set (Harrison and Rubinfeld, 1978) SIEPR 120 Simulation and power analysis of generalized linear mixed models Econ 140

1:54pm PDT

Approximate inference in R: A case study with GLMMs and glmmsr Econ 140 The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

2:12pm PDT

Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course 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

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

11:42am PDT

Most Likely Transformations McCaw Hall

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Hash Tables in R are Slow SIEPR 130 Catching up with Rstudio Lane & Lyons & Lodato

1:10pm PDT

Scalable semi-parametric regression with mgcv package and bam procedure SIEPR 130

1:20pm PDT

shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript SIEPR 130 R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

1:30pm PDT

The Best Time to Post on Reddit McCaw Hall

1:35pm PDT

Interact with Python from within R McCaw Hall Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R SIEPR 130 Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

3:00pm PDT

Closing Remarks McCaw Hall