Thesis for MSc in Geography (2015)
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Updated
Jun 30, 2021
Thesis for MSc in Geography (2015)
Chess Olympiad Dataset 2022
GLM and Multilevel Models application to predict the success of bank telemarketing
Multilevel Machine Learning modeling
Portfolio assignments in data cleaning, analysis and diagnostic science field employing multilevel and logistic regression models. 2019 fall semester at Aarhus University
My final project for DACSS 790Q (Advanced Quantitative Methods) titled 'Trust in the Indian Government: Significant Factors and Regional Variations'
linear mixed models consider covariates with multiple levels, for example, some covariates vary among events, while others may vary from different subjects. In a two-level study such as this one, Level One will refer to variables measured at the most frequently occurring observational unit, while Level Two will refer to variables measured on lar…
This research project is focused on the analysis of the academic performance of high school graduates in the Tyumen region from 2015 to 2019
Einführung in die Multilevel Regression
A Shiny application and R package to conduct power analysis for Longitudinal Actor-Partner Interdependence Models that include quadratic effects
A forecasting methodology to predict Colombia's presidential election outcomes.
Mehrebenenregression mit R - Skript und RCode zur Videoserie Einführung in die Mehrebenenregression mit R.
Examples of data science analysis and model building
Data and code used in "Transient demographic dynamics of recovering fish populations shaped by past climate variability, harvest, and management"
Implements the model, the algebra, and the concepts proposed for Multi Level Networks in my Master thesis.
Replication files for the MA Thesis submitted to Central European University in a.y. 2019/2020
course sub-material for Multi-level Modeling
Code and Documentation for Functional Regression on Densities of Observations (FRODO)
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