Universiteit van Amsterdam (UVA) • Econometrics & Data Science

This comprehensive handwritten summary on Text Retrieval and Mining covers essential concepts from both lectures and tutorials. Key topics include Bag-of-Words models, TF-IDF, text processing techniques, POS tagging, constituency parsing, named entity recognition, and entity linking. It also explores advanced methods like topic modeling with Latent Dirichlet Allocation (LDA) and BERTopic, as well as word embeddings using GloVe and Word2Vec. The notes delve into natural language processing with d...

This detailed handwritten summary on Optimization covers key concepts and methods from both lecture notes and tutorial notes. It includes topics such as linear optimization models, simplex methods, duality in optimization, sensitivity analysis, integer linear optimization, and dynamic programming. The notes also address advanced topics like integer and mixed-integer linear optimization, branch and bound methods, cutting plane algorithms, and linear network models. Each section is supported with ...

This detailed handwritten summary on Optimization covers key concepts and methods from both lecture notes and tutorial notes. It includes topics such as linear optimization models, simplex methods, duality in optimization, sensitivity analysis, integer linear optimization, and dynamic programming. The notes also address advanced topics like integer and mixed-integer linear optimization, branch and bound methods, cutting plane algorithms, and linear network models. Each section is supported with ...

This comprehensive handwritten summary covers key topics and concepts from lectures and the textbook "Econometrics Methods with Applications." The notes include detailed explanations on endogeneity and instrumental variables, generalized method of moments, maximum likelihood estimation, binary response models, multinomial data, and limited dependent variable models such as ordered logit and probit, and censored regression (Tobit). Additionally, the notes explore sample selectivity models a...

This comprehensive handwritten summary of Econometrics Methods with Applications covers key topics and concepts, derived from both lectures and the textbook. The notes include detailed explanations on linear regression models, least squares estimation, multivariate regression analysis, and the classical assumptions underpinning econometric models. Advanced topics such as heteroscedasticity, weighted least squares, dummy variables, and polynomial terms are thoroughly addressed, offering insights ...