Bayesian Change-Point Detection and Time Series Decomposition
Taking causal inference to the extreme!
Causal Inference Using Quasi-Experimental Methods
Interrupted time series and synthetic control methodology for epidemiological criminology
Time series analysis of Sheffield's Clean Air Zone effectiveness: ARIMA forecasting, Prophet modeling, ITS regression. Proven 30-44% NO₂ reduction with statistical significance (p<0.001). Complete R pipeline with reproducible methodology.
A tutorial on interrupted time series regression for the evaluation of public health interventions
Two-stage interrupted time series analysis of excess mortality in Italy during the COVID-19 pandemic
This is the repo for the statistical and machine learning analysis for the obesity surgery effects on asthma severity.
Computational pipeline for detecting Russian foreign-broadcast propaganda and its amplification of social cleavages in Cyprus. Features multilingual NLP (XLM-RoBERTa, BERTopic, stanza), multi-source scraping (Telegram, Twitter/X, RT, Sputnik), and interrupted time series analysis.
Estimating pricing impact on churn using interrupted time series and model-based counterfactuals.
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