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University of Pittsburgh
- in/rory-quinlan
Highlights
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This repository reproduces the analysis from Government Transfers and Political Support by Manacorda, et al. (2011), using regression discontinuity (Difference-in-Differences) to explore the impact…
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Investigate the effect of a child cancer cluster in Churchill County on housing prices, estimating the willingness of residents to pay to avoid environmental health risks.
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Analyze the effects of seasonal migration on household consumption and expenditures in rural Bangladesh from a randomized control trial.
econometrics instrumental-variables randomized-controlled-trials research-reproducibility economic-research 2-stage-regression4 UpdatedDec 7, 2024 -
Investigate how racial segregation influences urban poverty and inequality, using railroad track layouts as an instrumental variable (IV) to estimate the causal impact of segregation on poverty rates.
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Use conjugate priors and monte carlo process to asses the differences of mean study times between schools.
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Use Poisson Sampling and Monte Carlo approximation to explore the difference of number of children in men by education level
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Using 1994 Census data to predict whether a person's salary meets the threshold for upper middle class. Fit a logistic regression model (min and optimal lambda), and decision tree for classification.
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Analyze the impact of having daughters on U.S. legislators' voting behavior on women's issues, using data from the 105th congress; based on Ebonya Washington's 2008 research.
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Employ linear and autoregressive models to forecast Ethereum prices based on historical data and lagged variables.
4 UpdatedNov 26, 2024 -
Evaluate the effectiveness of Duolingo and Anki by analyzing how study hours correlate with final exam scores among foreign language students. By using ANCOVA to check interaction terms and assess …
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Using Monte Carlo simulation and plotting the distributions, we can see a significant difference between those with and without diabetes in key factors
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MLB-Standings-Mini-Project Public
This project analyzes MLB standings data from 2019 to 2022 to predict team wins based on runs scored and runs allowed. It includes visualizations, a linear regression model, and checks for model as…
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Salary-and-Experience Public
Analyze the relationship between years of employment and salary, employing both untransformed and natural log transformations to improve model accuracy and address assumptions of linear regression.
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Rat-Lab Public
Using Bayesian Analysis (Monte Carlo simulation) to understand the difference between tumor genesis in types of mice from lab data
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Analyzes credit risk using logistic regression on customer attributes to predict credit risk (high/low). It processes datasets, visualizes relationships, and trains the model. The model aids banks …
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Study-Method Public
Using monte carlo sampling the probability that study method A is worse than B given the data
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Custom-CPI-Analysis-Research Public
Created a custom CPI for college students, analyzing essential products and services. Using API data retrieval and weighted calculations, I assessed inflation trends and compared my CPI with the ge…
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Using age data from 100 sampled U.S. married couples, hypothesize a semiconjugate prior, generate a predictive data set to confirm the hypothesis, and use Markov Chain Monte Carlo (MCMC) approximat…
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Categorize the countries using ML algorithms (PCA dimension reduction and PAM clustering) with socio-economic and health factors that determine the overall development of the country. Then we can s…
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Tuition-Variation-Research Public
This project predicts tuition rates for U.S. public and private universities using linear regression with leave-one-out cross-validation. Helping to assess if a college market price, maximizing ROI…
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Predict hard drug use with supervised learning models including random forests, and naive bayes model; using accuracy and precision rates to assess the usefulness and validity of the models.
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Happiest-Countries Public
Categorize the countries using Partitioning and K-mean clustering with the 2018 happiness survey that determines the overall happiness of the country. Then we can see the true happiest countries.
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Analyze the relationship between SAT scores and college acceptance rates through visualizations and statistical modeling, employing logit transformation to meet linear regression assumptions.
2 UpdatedOct 29, 2024 -
Evaluate the effectiveness of treatment types for anorexia using T tests, permutation tests, and QQ-plots
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Evaluate the relationship of age and science score on the attitudes of science and faith using linear regression, and bootstrapping
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Explore factors influencing students' adaptability to online learning through machine learning techniques, including Random Forest, SVM, and Neural Networks. Identify key characteristics and devel…
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Heart-Disease-Data-Lab Public
Select the most accurate Naive bayes model for predicting heart disease and explore the data by creating data visualizations (box plots, paired plots with distributions and scatter points, and 2 di…
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Build and use a hierarchical model and Gibbs sampler to analyze the differences between schools
2 UpdatedOct 20, 2024 -
Econ1193_Spring2024 Public
Forked from ArieBeresteanu/Econ1193_Spring2024Materials for Econ 1193 at Pitt, Spring 2024
2 UpdatedSep 17, 2024