Seminar held by:
Tomas Formanek
Department of Econometrics
Faculty of Informatics and Statistics
University of Economics, Prague
- Data manipulation and visualization basics
- Markdown and Quarto for data & output presentation
- Introduction to Tidyverse packages
tidyr,dplyr,ggplot2, pipe operator%>% - Importing data from major databases (Eurostat, IMF, Yahoo finance, etc.)
- Missing data, multiple imputation
- Spatial data: basic descriptive analysis
- Spatial data: advanced visualization (choropleths, sf package)
- Spatial econometrics
- Cross-sectional data
- Panel data
- Advanced topics (spatial filtering)
-
Rowe and Arribas-Bel, Spatial Modelling for Data Scientists - a textbook
-
R Package RCzechia : run
install.packages("RCzechia") -
ARSET - Fundamentals of Remote Sensing (NASA on-line course)
Model selection
- Theoretical approach: specific-to-general, general-to-specific
- Stepwise model selection
Model selection & regularization
- Penalized regression
- Dimension reduction: PCR & PLS
Moving beyond linearity
- Quantile regression (quick repetition)
- Polynomial and step regression
- Regression splines, smoothing splines
- Local regression
- Generalized Additive Models (GAM)
- Interactive Course using mgcv (ch. 1,2,4)
- Quantitude podcast S3E03 Principal Components Analysis is your PAL
- Introduction to linear mixed effects models
- Longitudinal data
- Hierarchical models