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JW

Jared Wolf

J.B. Hunt Transport
Statistician

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

1:00pm PDT

Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato Understanding and creating interactive graphics (Part 1) McDowell & Cranston

2:30pm PDT

Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato Understanding and creating interactive graphics (Part 2) McDowell & Cranston

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

R in machine learning competitions 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 R: The last line of defense against bad debt Econ 140 Taking R to new heights for scalability and performance SIEPR 130 trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R McCaw Hall

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 United Nations World Population Projections with R McCaw Hall

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140

1:18pm PDT

Experiences on the Use of R in the Water Sector SIEPR 120

1:36pm PDT

A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho SIEPR 120 bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Integrating R & Tableau Sponsor Pavilion Statistics and R for Analysis of Elimination Tournaments Sponsor Pavilion Using R in the evaluation of psychological tests Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions SIEPR 130 R at Microsoft McCaw Hall

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130 Inside the Rent Zestimates Barnes & McDowell & Cranston When will this machine fail? SIEPR 120

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm PDT

A Future for R Econ 140 xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Predicting individual treatment effects Lane & Lyons & Lodato

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

10:50am PDT

madness: multivariate automatic differentiation in R SIEPR 120

10:55am PDT

rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports SIEPR 120

11:00am PDT

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

11:06am PDT

On the emergence of R as a platform for emergency outbreak response McCaw Hall

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

1:00pm PDT

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

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall

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

1:40pm PDT

Changing lives with Data Science at Microsoft Lane & Lyons & Lodato

1:54pm PDT

The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

1:55pm PDT

Bringing the Power of R to Citizen Data Scientists Lane & Lyons & Lodato

2:12pm PDT

High performance climate downscaling in R SIEPR 120 Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Logistic modelling of increased antibacterial resistance with sales Sponsor Pavilion The Use of Ensemble Learning Methods in Open Source Data Challenges Sponsor Pavilion

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

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

10:35am PDT

Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST) Econ 140

10:40am PDT

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

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato