Teaching

Statistical Theory II (Bachelor, Spring 2022 at Vilnius University, Quantitative Economics Program). Content: discrete and continuous probability distributions, Bayes' Theorem, Bayesian Inference for discrete and continuous random variables. Lecture Notes can be found here.

Mathematical Methods (NEKN32, Master, Fall of 2020 and 2021). Content: set theory, univariate and multivariate functions, integration theory, optimization, linear algebra, vector and matrix calculus, probability theory. The recording of an example lecture on vector calculus can be found here. Full Lecture Notes can be found here. 

Econometric Theory (NEKP35, Master and Ph.D obligatory, Spring of 2019 and 2021; with Peter Jochumzen). Content: introduction to measure theory, asymptotic analysis, hypothesis testing, estimators. The recording of an example lecture on strong law of large numbers and central limit theorem can be found here. Full Lecture Notes can be found here. 

Econometrics I (Bachelor, Spring of 2019; with Yana Petrova and Ignace De Vos). Content: introduction to the least squares estimator, its properties, hypothesis testing.

Teaching Assistant 

Mathematical Methods (NEKN32, Master, Fall of 2018 and 2019). Responsible for exercise sessions and homework assignments.

Advanced Econometrics (NEKN31, Master, Fall 2018 and 2019). Responsible for computer labs and guest lecturer on asymptotic analysis (4 lectures).

Time Series Analysis (NEKN34, Master, Spring 2018). Responsible for computer labs and guest lecturer on asymptotic analysis for stationary time series (2 lectures).