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
.
Schedule
Simple
Expanded
Grid
By Venue
Map
Speakers
Attendees
Search
or browse by date + venue
Break
All
Break
Conference event
All
Closing
Cruise & Dinner
Opening
Registration
Welcome Reception
Contributed talk
All
Analytics
Bayesian
Bioinformatics
Case study
Database
Generalized and mixed models
Graphics
Interactive
Kaleidoscope
Machine Learning
Miscellaneous
Packages and Development
Performance
R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
Statistics & Big Data
Teaching
Keynote
All
Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
Lightning talk
All
Lightning Talk
Poster
All
Group 1
Group 2
R Initiatives
All
R Initiatives
Sponsor Session
All
Part 1
Part 2
Tutorial
All
Afternoon
Morning
Popular
menu
Menu
Log in
Schedule
Speakers
Attendees
Search
← Back
Julianna Antonchuk
Facebook
Infra Data Science
San Francisco
Monday
, June 27
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
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1)
SIEPR 130
2:30pm PDT
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2)
SIEPR 130
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
Tuesday
, June 28
9:00am PDT
Forty years of S
McCaw Hall
10:30am PDT
Wrapping Your R tools to Analyze National-Scale Cancer Genomics in the Cloud
Lane & Lyons & Lodato
10:48am PDT
Two-sample testing in high dimensions
Lane & Lyons & Lodato
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
United Nations World Population Projections with R
McCaw Hall
11:42am PDT
Analysis of big biological sequence datasets using the DECIPHER package
Lane & Lyons & Lodato
bayesboot: An R package for easy Bayesian bootstrapping
Barnes & McDowell & Cranston
1:00pm PDT
Continuous Integration and Teaching Statistical Computing with R
SIEPR 130
1:18pm PDT
Integrated R labs for high school students
SIEPR 130
1:36pm PDT
bigKRLS: Optimizing non-parametric regression in R
Barnes & McDowell & Cranston
Introducing Statistics with intRo
SIEPR 130
1:54pm PDT
Statistics and R in Forensic Genetics
McCaw Hall
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
flexdashboard: Easy interactive dashboards for R
Lane & Lyons & Lodato
How to keep your R code simple while tackling big datasets
Barnes & McDowell & Cranston
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
5:39pm PDT
A Future for R
Econ 140
5:57pm PDT
Visual Pruner: A Shiny app for cohort selection in observational studies
Lane & Lyons & Lodato
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:30am PDT
Importing modern data into R
SIEPR 130
Notebooks with R Markdown
McCaw Hall
Empowering Business Users with Shiny
SIEPR 120
10:48am PDT
ETL for medium data
SIEPR 130
Size of Datasets for Analytics and Implications for R
Econ 140
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
11:06am PDT
Calculation and economic evaluation of acceptance sampling plans
Barnes & McDowell & Cranston
Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO
Econ 140
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
11:24am PDT
Efficient in-memory non-equi joins using data.table
SIEPR 130
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:25am PDT
FirebrowseR an 'API' Client for Broads 'Firehose' Pipeline
SIEPR 120
11:30am PDT
Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers
SIEPR 120
11:35am PDT
R's Role in Healthcare Data: Exploration, Visualization and Presentation
SIEPR 120
11:40am PDT
Chunked, dplyr for large text files
SIEPR 120
11:42am PDT
Exploring the R / SQL boundary
SIEPR 130
1:00pm PDT
R markdown: Lifesaver or death trap?
McCaw Hall
1:18pm PDT
Tools for Robust R Packages
SIEPR 130
1:30pm PDT
Statistical Computing with R
Lane & Lyons & Lodato
1:36pm PDT
Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider
McCaw Hall
Simulation and power analysis of generalized linear mixed models
Econ 140
1:54pm PDT
How to do one's taxes with R
McCaw Hall
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
2:05pm PDT
Making the R community more open
Lane & Lyons & Lodato
2:12pm PDT
brglm: Reduced-bias inference in generalized linear models
Econ 140
Providing Digital Provenance: from Modeling through Production
Barnes & McDowell & Cranston
2:30pm PDT
ALZCan: Predicting Future Onset of Alzheimer's Using Gender, Genetics, Cognitive Tests, CSF Biomarkers, and Resting State fMRI Brain Imaging
Sponsor Pavilion
Approaches to R education in Canadian universities
Sponsor Pavilion
Bayesian inference for Internet ratings data using R
Sponsor Pavilion
Data Quality Profiling - The First Step with New Data
Sponsor Pavilion
Profile Analysis of Multivariate Data Using the profileR Package
Sponsor Pavilion
Statistical assessment of the similarity of amino-acid sequences
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
Thursday
, June 30
9:00am PDT
Statistical Thinking in a Data Science Course
McCaw Hall
Timezone
user2016
America/Los Angeles
Filter By Date
user2016
Jun 27
-
30, 2016
Monday
, June 27
Tuesday
, June 28
Wednesday
, June 29
Thursday
, June 30
Filter By Venue
Stanford, CA, United States
Sort schedule by Venue
Barnes
Barnes & McDowell & Cranston
Bing Concert Hall
Campbell Rehearsal Hall
Econ 140
Lane
Lane & Lyons & Lodato
Lyons & Lodato
McCaw Hall
McDowell & Cranston
SIEPR 120
SIEPR 130
Sponsor Pavilion
Wallenberg Hall 124
Filter By Type
Break
All
Break
Conference event
All
Closing
Cruise & Dinner
Opening
Registration
Welcome Reception
Contributed talk
All
Analytics
Bayesian
Bioinformatics
Case study
Database
Generalized and mixed models
Graphics
Interactive
Kaleidoscope
Machine Learning
Miscellaneous
Packages and Development
Performance
R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
Statistics & Big Data
Teaching
Keynote
All
Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
Lightning talk
All
Lightning Talk
Poster
All
Group 1
Group 2
R Initiatives
All
R Initiatives
Sponsor Session
All
Part 1
Part 2
Tutorial
All
Afternoon
Morning
Popular
Recently Active Attendees
Longyi Bi
Diane Grill
Tom Hay
Colin Gillespie
KG
Kent Gray
David Smith
Hadley Wickham
JP
John Painter
More →