Home - UCLACompSoc/StatsforDummies GitHub Wiki

Welcome to the StatsforDummies wiki!

Sections:

• Bayesian Inference and MLE Inference in Regression Models (MCMC, Gibbs Sampling)
• Clustering
• Regression Models: Logit Probit
• Regression Models: Poisson, Negative Binomial
• Regression Models: Fixed Effects, Random Effects
• Model comparison
• Trees and Random Forests
• Naive Bayes
• Support Vector Machines
• Basic neural networks frameworks (PyTorch)- (Recurrent NN, LSTM, Recursive NN, CNN, Adversarial Nets)
• Time Series
• Causal Inference