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Wie können wir statistische Aussagen über eine Grundgesamtheit treffen, wenn wir nur über eine Stichprobe verfügen? Die traditionelle Statistik trifft dazu Annahmen über die zu Grunde liegende Verteilung. Bootstrapping ist eine Simulations-Technik, die Inferenz ohne solche Annahmen erlaubt.

What is Bayesian statistics? This video -gives an example for Baye's Rule -discusses the frequentist vs. Bayesian philosophy (data vs. parameter assumed as fixed) -mentions the need for a Prior

In this video I play around with with logistic regression in R, aiming to convey an intuition and ability to visualize what the method is about. The content extends to othr generalized linear models (GLMs) and the use of link functions in regression.

In this video I briefly talk about what interaction terms are in multiple linear regression and how to interpret them.

This lecture discusses a a hierarchical statistical model: The response of two groups of patients with different alleles to the same drug. The effectiveness of the drug is therefore based on a common distribution as it is the same drug, but modulated by group specific effects. Bayesian statistics is powerful in encoding such hierarchical models, but the data are difficult to visualize: With the...

Explanation how to display images so their intensities are directly comparable across images (in ImageJ).

In this lecture we discuss inference of cellular signaling networks from temporal -omics data informed by underlying (protein-protein-interaction) networks,