5 papers
A Mathematical Optimization Approach for Expert-Informed Bayesian Best Subset Selection
Nolan Alexander, Henning Mortveit
A central challenge in statistical modeling is identifying the subset of features that belong in the true regression model. The classical best subset selection problem, recently ma…
Theoretical Note: On the Practical Uses of Mathematical Theory for Attitude Research
Mark G. Orr, Emily S. Teti, Andrei Bura +1
In attitude theory, formal theoretical predictions come largely from the simulation of computational models. We argue that to push attitude theory further, we should employ mathema…
Divide and Predict: An Architecture for Input Space Partitioning and Enhanced Accuracy
Fenix W. Huang, Henning S. Mortveit, Christian M. Reidys
In this article the authors develop an intrinsic measure for quantifying heterogeneity in training data for supervised learning. This measure is the variance of a random variable w…
Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations
Kazi Ashik Islam, Zakaria Mehrab, Mahantesh Halappanavar +5
Coastal flooding poses increasing threats to communities worldwide, necessitating accurate and hyper-local inundation forecasting for effective emergency response. However, real-wo…
Pandemics In Silico: Scaling an Agent-Based Simulation on Realistic Social Contact Networks
Joy Kitson, Ian Costello, Jiangzhuo Chen +7
Preventing the spread of infectious diseases requires implementing interventions at various levels of government and evaluating the potential impact and efficacy of those preemptiv…