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stat.ME2023
Local Bayesian Dirichlet mixing of imperfect models
Vojtech Kejzlar, Léo Neufcourt, Witold Nazarewicz
To improve the predictability of complex computational models in the experimentally-unknown domains, we propose a Bayesian statistical machine learning framework utilizing the Diri…
stat.OT2023
Introducing Variational Inference in Statistics and Data Science Curriculum
Vojtech Kejzlar, Jingchen Hu
Probabilistic models such as logistic regression, Bayesian classification, neural networks, and models for natural language processing, are increasingly more present in both underg…