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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Dive into the world of statistical analysis with 'Basics of Statistical Inference and Modelling Using R'. This course will equip you with a strong foundation in understanding why certain statistical methods work, how to implement them using R, and when to apply them. It's an essential step for anyone looking to delve deeper into data science.
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Expand your understanding of statistical analysis by delving into Advanced Statistical Inference and Modelling Using R. This course is designed for those who have a foundational grasp of linear regression and wish to apply their skills to more complex scenarios involving binary, count, or categorical responses, along with hierarchical experiments. Learn from experts and enhance your ability to perform advanced statistical analyses using the powerful programming language R.
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Embark on a foundational exploration of Bayesian statistics with this introductory course designed for beginners. Master the basics of Bayesian Data Analysis and practice solving practical problems using R, setting the stage for advanced studies in data analysis across various fields such as epidemiology, ecology, economics, and political sciences.
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Take your understanding of Bayesian inference to the next level with our Advanced Bayesian Data Analysis Using R course. This professional program builds on foundational knowledge to explore complex topics such as modeling latent variables, Bayesian model averaging, generalised linear models, and Markov Chain Monte Carlo (MCMC) methods. Utilize R for practical application and deepen your expertise in statistical analysis.