Lukas Jürgensmeier (lukas-jue)

lukas-jue

Geek Repo

Company:TechAcademy e.V. and Goethe University

Location:Frankfurt, Germany

Home Page:lukas-juergensmeier.com

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Lukas Jürgensmeier's repositories

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econometrics-phd

Repository for the tutorial R scripts in Advanced Econometrics

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bayesian-nash-equilibrium-estimation

Research Paper: "Bayesian Beer Market Estimation: Simulating Nash Equilibrium Market Outcomes with Bayesian Analysis of Choice-Based Conjoint Data"

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covid-visualization

Visualizing the Coronavirus Outbreak

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intro-tidyverse

Course materials and website for "Introduction to Data Science with R and Tidyverse"

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un-black-boxing-neural-networks-marketing

Research Paper "Un-Black-Boxing Artificial Neural Networks: Predicting and Explaining Bank Customer’s Cross-Sell Likelihood"

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1918-flu-pandemic

Research Paper: Economic Consequences of the 1918 Flu Pandemic: Reviewing Evidence from the Historical Precedent of Covid-19

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academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

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intro-tidyverse-2022-summer

Course materials and website for "Introduction to Data Science with R and Tidyverse" for the May 2022 Course

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personal-website

This repository serves the source files and compiled html files for my personal website

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covid-19-the-economist-global-excess-deaths-model

The Economist's model to estimate excess deaths to the covid-19 pandemic

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cscc-r-project

Shared repository for the Customer Satisfaction and Consumer Choice term paper project.

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cscc-simulation

Repository for the market estimation

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data-science-covid-guide

Data Science Project Guide for TechAcademy's Summer 2020 Python and R Track

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datascience-box

Data Science Course in a Box

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intro-tidyverse-2022

Course materials and website for "Introduction to Data Science with R and Tidyverse" for January 2022 Course

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marketing-analytics-exams

This repository contains the exercise, solution, and data used by the application described in Jürgensmeier and Skiera (2024): "Generative AI for Scalable Feedback to Multimodal Exercises in Marketing Analytics"

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marketing-analytics-exercise

This repository contains the exercise, solution, and data described in Skiera, Bernd and Lukas Jürgensmeier (2024): "Teaching Marketing Analytics: A Pricing Exercise for Quantitative and Substantive Marketing Skills," forthcoming in the Journal of Marketing Analytics.

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talks

A repository storing code-based slides

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thesisdown

An updated R Markdown thesis template using the bookdown package

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