📚 Computational Statistics and Data Analysis

Important Topics

Some of the topics that were covered in the lecture (not in the correct order!). Most of these notes are not filled with life yet. If you want to add some content, let me know!

• Exponential Family
• Conjugate Prior
• Multivariate Gaussian
• General Linear Model
• Model Parameter Estimation
  • Least Squares Estimator
  • Maximum Likelihood
  • Maximum a Posteriori Estimation
• Distribution of Regression Coefficients
• Testing Model Parameters
  • t-test
  • f-test
  • Likelihood Ratio Test (LLR)
• Non-linear Regression
• Local Linear Regression
• Regularization
• Ridge Regression
• Lasso Regression
• Bias Variance Tradeoff
  • Double Descent
• cross validation
• Support Vector Machines
• Logistic Regression
• lda
• Quadratic Discriminant Analysis
• Bootstrap Based Test

Anki Flashcards

I created anki flashcards for this lecture to prepare for my Oral Exams. I am happy to share them, just write me an email :)

ufukcakir2001@gmail.com