Latest articles of Journal of Data Science

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Predicting "Yes”: Machine Learning and Diverse Data to Boost Respondent Cooperation1 week

In the evolving field of survey research, leveraging machine learning to predict response behavior has transformative potential for the efficiency of survey operations. Integrating multiple data sources may improve response prediction by providing more nuanced insights for household outreach. This study presents a model-driven approach to enhancing respondent cooperation in the ...

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Editorial: Government Advances in Statistical Programming (GASP) 20252 weeks

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Predictive Modeling of Short-Term Recidivism: A Mixture Cure Rate Approach with Diverse Link Functions4 weeks

Addressing short-term recidivism presents a significant challenge within the criminal justice system, necessitating robust predictive models that can accurately identify risk factors and predict outcomes. This paper introduces application of Bayesian cure rate models to predict short-term recidivism using data from individuals released from Iowa prisons in 2018. The mixture cure...

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