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Adam Simkowski

ACES
Meteorologist
Indianapolis, IN

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

1:00pm PDT

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

2:30pm PDT

Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato

4:15pm PDT

What's up with the R consortium? McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:42am PDT

jailbreakr: Get out of Excel, free McCaw Hall

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

Introducing Statistics with intRo SIEPR 130

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall All-inclusive but Practical Multivariate Stochastic Forecasting for Electric Utility Portfolio Sponsor Pavilion Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea. Sponsor Pavilion R Shiny Application for the Evaluation of Surrogacy in Clinical Trials 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 R at Microsoft McCaw Hall

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130 New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

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

Importing modern data into R SIEPR 130 Empowering Business Users with Shiny SIEPR 120

10:48am PDT

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

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

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:18pm PDT

SpatialProbit for fast and accurate spatial probit estimations SIEPR 120

1:36pm PDT

Simulation and power analysis of generalized linear mixed models Econ 140

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120

2:12pm PDT

High performance climate downscaling in R SIEPR 120

2:30pm PDT

Developing R Tools for Energy Data Analysis Sponsor Pavilion Energy prediction and load shaping for buildings Sponsor Pavilion Multiple-Output Quantile Regression in R Sponsor Pavilion

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

10:30am PDT

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

10:48am PDT

Practical tools for exploratory web graphics SIEPR 130

11:08am PDT

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

11:25am PDT

Outlier Detection Methods Econ 140

1:30pm PDT

Thinking about Energy Markets with interactivity SIEPR 130