This online short course focuses on the principles of Bayesian data analysis ... i.e. notion of statistical inference, p-values and confidence intervals. CASC's stats courses are for anyone requiring ...

but pre-experimental planning and statistical inference given a borderline significant p value are quite different things. The results explained here regarding the relationships between p values, ...

Causal inference is the task of drawing conclusions from data about the effects of treatments and other type of interventions. In epidemiology and clinical research, as well as in many other fields, ...

Bert Kappen conducts research on neural networks, Bayesian machine learning ... equation systems that can be learned using efficient amortized variational inference methods and used for long-term ...

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