Rundown of basic mixed media model using data from the datarium package.

Brief exploration and comparison of modeling multi-touch attribution across common digital channels. Markov chain methods and common heuristic or rules-based methods of conversion attribution are the focus.

This SVAR analysis looks at the relationship between the output gap, inflation, and interest rates in the United States. Of special interest here is the findings comparison using data from 1958 to 2022 and a subset of 1982 to 2022 which supports the importance of credible central banks.

This is a replication of work done by Lee, Moretti, and Butler from their 2004 piece entitled "Do Voters Affect or Elect Policies: Evidence from the US House". It uses RDD to exploit the 50% threshold of winning elections in an attempt to gauge whether convergence or divergence theory in political economies is supported.

This Markov Cohort Model uses just three health states to follow cohort across 40 cycles. This model incorporates a varying transition probability matrix as well as a varying payoff matrix.

Case study analyzing churn for a telecom company comparing results from Random Forest and Generalized Linear Model methods.

Project from datacamp creating a function for forecasting prices from food pricing data across a collection of files.

Logit model predicting binary heart disease outcomes based on sex, age, and maximum heart rate.

Overview of univariate time-series forecasting leveraging ARIMA, ETS, and Naive methodologies.

Brief examination of using tree and randomForest packages for predictive modeling.

Applying subclassifications techniques to Titanic survivor data to address possible confounders of survival rate.

Basic exploration of new SDiD causal method

Basic analysis of data from 2014 NYC Uber dataset with plenty of data visualizations.

Brief exploration of sentiment analysis on Twitter data