Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...

This paper presents a Bayesian analysis of high-dimensional descriptor data ... binding affinity data with the protein pyruvate kinase to train and assess our model averaging algorithm and then apply ...

Abstract: A sequential three-dimensional hybrid molecular-dynamics (MD)/finite-element (FE) code to perform continuum and atomistic multi-scale modeling and computation, has been parallelized using ...

Department of Natural Sciences and Örebro Life Science Center, Örebro University. ‡Modeling and Simulation Research Center, Örebro University. §Department of Clinical Medicine and Örebro Life Science ...

A discrete-event simulation model to optimize patient flow in the Emergency Department of Sta. Cruz Provincial Hospital, Philippines. Built with Python and SimPy, it analyzes bottlenecks, resource ...

Doctoral dissertation title: Efficient Choice of Priors for Bayesian Hypothesis Tests in Psychology and for Dynamic Modeling of Zero-Inflated Directed Networks Postdoc Adviser: Abhirup Datta and Scott ...

Originated from Open Source, give back to Open Source. uv: Simplify Python environment and dependency management. uv automatically creates a virtual environment in ...