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Chris Bruehl

Liberty Mutual
Greater Boston Area

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:15am PDT

Coffee Break McDowell & Cranston

10:30am PDT

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

1:00pm PDT

Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato

2:30pm PDT

Understanding and creating interactive graphics (Part 2) McDowell & Cranston

8:00am PDT

Registration check-in McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

edeaR: Extracting knowledge from process data Econ 140

10:48am PDT

Implementing R in old economy companies: From proof-of-concept to production Econ 140

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Automating our work away: One consulting firm's experience with KnitR Econ 140

11:42am PDT

jailbreakr: Get out of Excel, free McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho SIEPR 120

1:54pm PDT

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120

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 Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea. Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato R at Microsoft McCaw Hall

5:03pm PDT

Crowd sourced benchmarks Econ 140 Inside the Rent Zestimates Barnes & McDowell & Cranston New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato When will this machine fail? SIEPR 120

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm PDT

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 Colour schemes in data visualisation: Bias and Precision McCaw Hall

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Empowering Business Users with Shiny SIEPR 120

10:48am PDT

ETL for medium data SIEPR 130

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

11:05am PDT

Maximum Monte Carlo likelihood estimation of conditional auto-regression models SIEPR 120

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:15am PDT

Building a High Availability REST API Engine for R SIEPR 120

11:20am PDT

Automated clinical research tracking and assessment using R-Shiny SIEPR 120

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

Reusable R for automation, small area estimation and legacy systems Barnes & McDowell & Cranston

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall

1:36pm PDT

GNU make for reproducible data analysis using R and other statistical software Barnes & McDowell & Cranston

1:54pm PDT

Checkmate: Fast and Versatile Argument Checks SIEPR 130

2:12pm PDT

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

2:30pm PDT

Coffee Break with Poster Session McCaw Hall Helping Non-programmers Use R Sponsor Pavilion Plotting for Marketers - Seeing the Story Sponsor Pavilion The markovchain R package Sponsor Pavilion

4:30pm PDT

Cruise & Conference Dinner 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

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:10am PDT

Event Detection with Social Media Data Econ 140

11:24am PDT

ggduo: Pairs plot for two group data SIEPR 130 Revolutionize how you teach and blog: add interactivity Barnes & McDowell & Cranston

11:25am PDT

Outlier Detection Methods 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

1:15pm PDT

Getting R into your bathroom McCaw Hall

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

1:30pm PDT

The Best Time to Post on Reddit McCaw Hall

1:35pm PDT

Interact with Python from within R McCaw Hall

1:40pm PDT

Let's meet on satRday! McCaw Hall

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall