The Best Bayesian Learning Tutoring Online

...level. Bio-statistics is an adjunct to Classical Statistical Methods, in that we use Bayesian methods, survival probabilities, and outcome predictability from clinical trials, conditions and longitudinal read more

...tests, Bayesian data analysis, etc.), spatial analysis, machine learning, and generating reports with knitr/Rmarkdown. Let me know if you are interested in learning about a specific package; I would be read more

...the mathematical structure of probability (including proofs and measure theory) and deeper concepts (such as the distinction between the frequentest and Bayesian interpretations). This is also connected read more

...tobit, multinomial, partial least squares regression methods. In addition, I'm experienced in Time Series Analyses, ANCOVA, MANCOVA, Bayesian Methods, Segmentation techniques, Structural Equation Modeling, read more

...convex optimization, evaluating frequentist hypotheses, inferring parameters through Bayesian statistics, and performing samplings and simulations. I also use R for reporting and technical document generation read more