return to probabalistyka
PROBT-Z-03
Task 1: Advanced Statistical Methods
analysis of variance (ANOVA), factorial designs, random effects models, mixed models, repeated measures analysis
Task 2: Bayesian Statistics
bayesian inference, prior and posterior distributions, markov chain monte carlo (MCMC), bayesian model selection, credible intervals
Task 3: Machine Learning Statistics
cross-validation, bootstrap methods, classification metrics, clustering analysis, dimensionality reduction, feature selection
Task 4: Stochastic Processes
markov chains, poisson processes, brownian motion, martingales, stochastic differential equations, queuing theory