Hassan Elsalloukh
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Researcher
Also affiliated: Arkansas Department of Agriculture (2012)
Faculty Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Hassan Elsalloukh's research focuses on statistical modeling, specifically exploring new methods for adaptive regression. His work includes developing novel scale mixtures for Bayesian adaptive Lasso Tobit regression, as detailed in his 2021 publication. This research contributes to the advancement of statistical techniques used for analyzing complex data.
Metrics
- h-index: 5
- Publications: 10
- Citations: 69
Selected Publications
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New Scale Mixture for Bayesian Adaptive Lasso Tobit Regression (2021)
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Delayed extracorporeal membrane oxygenation in children after cardiac surgery: two-institution experience (2013)
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Using distance education in teaching orthotic fabrication to occupational therapy students (2013)
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Osh6 overexpression extends the lifespan of yeast by increasing vacuole fusion (2012)
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Are Statistics Labs Worth the Effort?--Comparison of Introductory Statistics Courses Using Different Teaching Methods (2010)
Collaboration Network
Top Collaborators
- New Scale Mixture for Bayesian Adaptive Lasso Tobit Regression
- New Scale Mixture for Bayesian Adaptive Lasso Tobit Regression
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