Bayesian Change-Point Detection and Time Series Decomposition
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Updated
May 11, 2024 - C
Bayesian Change-Point Detection and Time Series Decomposition
Causal Inference Using Quasi-Experimental Methods
Taking causal inference to the extreme!
This is the repo for the statistical and machine learning analysis for the obesity surgery effects on asthma severity.
Data analytics project that predicts the prices of fish commodities in Metro Manila during the height of the pandemic. Uses basic ARIMA models and Interrupted Time Series Analysis.
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