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useR!2017

adnanberberovic

Linköping University
Master student
Norrköping

https://adnanber.be

I'm about to finish my masters thesis which is conducted largely with R, together with Alexander Eriksson, who's attending the conference too. Other than that I do enjoy good beer with a good company, and of course like most people I like to travel, etc.

9:30am CEST

Sports Analytics with R 4.01

2:00pm CEST

Introduction to optimal changepoint detection algorithms 4.01

9:30am CEST

KEYNOTE: Structural Equation Modeling: models, software and stories PLENARY

11:00am CEST

Robets: Forecasting with Robust Exponential Smoothing with Trend and Seasonality 2.01

11:18am CEST

A Benchmark of Open Source Tools for Machine Learning from R 2.02

11:36am CEST

Sports Betting and R: How R is changing the sports betting world PLENARY

11:54am CEST

mlrHyperopt: Effortless and collaborative hyperparameter optimization experiments 2.02

12:12pm CEST

The Revised Sequential Parameter Optimization Toolbox 2.02

1:30pm CEST

Text mining, the tidy way 4.02

1:48pm CEST

Architectural Elements Enabling R for Big Data 3.02

2:06pm CEST

A Tidy Data Model for Natural Language Processing 4.02

2:24pm CEST

Implementing Predictive Analytics projects in corporate environments 2.02

2:42pm CEST

**rTRNG**: Advanced Parallel Random Number Generation in R 3.02

3:30pm CEST

Sponsor Talk Data Camp PLENARY

3:45pm CEST

KEYNOTE: Teaching data science to new useRs PLENARY

11:00am CEST

Show Me Your Model: tools for visualisation of statistical models PLENARY

11:18am CEST

Can you keep a secret? 4.02

11:36am CEST

factorMerger: a set of tools to support results from post hoc testing 3.01

11:54am CEST

Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data with ctmcd 3.01

12:12pm CEST

MCMC Output Analysis Using R package mcmcse 3.01

12:30pm CEST

LUNCH CATERING POINTS

1:30pm CEST

ReinforcementLearning: A package for replicating human behavior in R 3.02

1:48pm CEST

R Package glmm: Likelihood-Based Inference for Generalized Linear Mixed Models 3.01

2:06pm CEST

R4ML: A Scalable R for Machine Learning 3.02

2:24pm CEST

Computer Vision and Image Recognition algorithms for R users 3.02

2:42pm CEST

brms: Bayesian Multilevel Models using Stan 3.01

3:45pm CEST

KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It PLENARY

5:30pm CEST

R in a small-sized bank's risk management 4.02

5:35pm CEST

Multivariate statistics for PAT data analysis: short overview of existing R packages and methods 4.01

5:40pm CEST

Automatic Machine Learning in R 4.02

5:45pm CEST

R in a Pharmaceutical Company 4.02

5:55pm CEST

Statistics hitting the business front line 4.02

6:00pm CEST

Introducing the DynNom package for the generation of dynamic nomograms 4.01

6:05pm CEST

Using R for optimal beer recipe selection 4.02

6:10pm CEST

ROI - R Optimization Infrastructure 3.01

6:20pm CEST

Data Error! But where? 3.01

6:30pm CEST

Buses Wild Gallery

7:00pm CEST

Dinner BRUSSELS EXPO

9:30am CEST

KEYNOTE: R tools for the analysis of complex heterogeneous data PLENARY

11:00am CEST

Actuarial and statistical aspects of reinsurance in R 2.02

11:36am CEST

Markov-Switching GARCH Models in R: The MSGARCH Package 2.02

11:54am CEST

Dynamic modeling and parameter estimation with dMod 3.01

12:12pm CEST

LUNCH CATERING POINTS

1:15pm CEST

KEYNOTE: 20 years of CRAN PLENARY