Elena Moltchanova

A Professor of Statistics at the University of Canterbury, Christchurch, New Zealand. Elena's research interests include Applied Bayesian spatio-temporal modelling, epidemiology and modelling of extreme events.

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Advanced Statistical Inference and Modelling Using R (edX)

Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up. Advanced Statistical Inference and Modelling Using R is part two of the Statistical Analysis in R professional certificate. This course is directed at [...]

Basics of Statistical Inference and Modelling Using R (edX)

Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation. Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in [...]

Advanced Bayesian Statistics Using R (edX)

Now that you know the basics of Bayesian inference, dive deeper to explore its richness and flexibility more fully. Let’s take a closer look at modeling latent variables, Bayesian model averaging, generalised linear models, and MCMC methods. Advanced Bayesian Data Analysis Using R is part two of the Bayesian [...]

Introduction to Bayesian Statistics Using R (edX)

Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R. Basics of Bayesian Data Analysis Using R is part one of the Bayesian Data Analysis in R professional certificate. Bayesian approach is becoming increasingly popular in all fields of data analysis, including [...]