Bayesian Change-Point Detection and Time Series Decomposition
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Updated
Sep 11, 2024 - C
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
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.
A tutorial on interrupted time series regression for the evaluation of public health interventions
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