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.

Ketan Desai

Renaissance Technologies, LLC
New york

I work for a financial trading company.

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

Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

5:00pm PDT

R-Ladies Presentation 1 McCaw Hall

5:10pm PDT

R-Ladies Presentation 2 McCaw Hall

5:20pm PDT

Discussion 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

10:48am PDT

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

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

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

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:54pm PDT

Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Curde: Analytical curves detection Sponsor Pavilion DiLeMMa - Distributed Learning with Markov Chain Monte Carlo Algorithms with the ROAR Package Sponsor Pavilion High-performance R with FastR Sponsor Pavilion mvarVis: An R package for Visualization of Multivariate Analysis Results Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

5:39pm PDT

Rho: High Performance R McCaw Hall

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

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130 Profvis: Profiling tools for faster R code Econ 140

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

11:00am PDT

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

11:06am PDT

Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO Econ 140

11:15am PDT

Building a High Availability REST API Engine for R SIEPR 120

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130 Grid Computing in R with Easy Scalability Econ 140

11:40am PDT

Chunked, dplyr for large text files SIEPR 120

11:45am PDT

Automated risk calculation in clinical practice and research - the riskscorer package SIEPR 120

12:00pm PDT

Lunch with Poster Exhibits 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

Tools for Robust R Packages SIEPR 130 Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics Econ 140

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

1:54pm PDT

Approximate inference in R: A case study with GLMMs and glmmsr Econ 140 Checkmate: Fast and Versatile Argument Checks SIEPR 130

2:12pm PDT

brglm: Reduced-bias inference in generalized linear models Econ 140

2:30pm PDT

Coffee Break with Poster Session McCaw Hall Bayesian inference for Internet ratings data using R Sponsor Pavilion Data Quality Profiling - The First Step with New Data Sponsor Pavilion hurdlr: An R package for zero-inflated and over-dispersed count data Sponsor Pavilion Monitoring nonlinear profiles with R: an application to Quality Control Sponsor Pavilion Multiple-Output Quantile Regression in R Sponsor Pavilion Presidential Rankings: Visualization and Comparisons Sponsor Pavilion Profile Analysis of Multivariate Data Using the profileR Package Sponsor Pavilion Reproducible research works_with_R Sponsor Pavilion request: A DSL for http requests Sponsor Pavilion The markovchain R package 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

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

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

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

10:45am PDT

Clustering of Hierarchically-Linked Multivariate Datasets Econ 140

10:48am PDT

Authoring Books with R Markdown McCaw Hall

10:50am PDT

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

11:06am PDT

Estimation of causal effects in network-dependent data McCaw Hall

11:10am PDT

Event Detection with Social Media Data Econ 140

11:24am PDT

DataSHIELD: Taking the analysis to the data McCaw Hall

11:25am PDT

Outlier Detection Methods Econ 140

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

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130

1:10pm PDT

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

1:25pm PDT

Weather Alerts Data with R SIEPR 130

1:30pm PDT

Thinking about Energy Markets with interactivity SIEPR 130

1:35pm PDT

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