Publications

Vojtech Kejzlar, Leo Neufcourt, Witold Nazarewicz (2023). Local Bayesian Dirichlet Mixing of Imperfect Models. Scientific Reports.
arXiv

Vojtech Kejzlar, Tapabrata Maiti (2023). Variational Inference With Vine Copulas: an Efficient Approach for Bayesian Computer Model Calibration. Statistics and Computing.
arXiv

Vojtech Kejzlar, Jingchen Hu (2023). Introducing Variational Inference in Statistics and Data Science Curriculum. The American Statistician.
arXiv

Vojtech Kejzlar, Shrijita Bhattacharya, Mookyong Son, Tapabrata Maiti (2022). Black Box Variational Bayesian Model Averaging. The American Statistician.
arXiv

Vojtech Kejzlar, Mookyong Son, Shrijita Bhattacharya, Tapabrata Maiti (2021). A Fast and Calibrated Computer Model Emulator: an Empirical Bayes Approach. Statistics and Computing.
arXiv

Vojtech Kejzlar, Leo Neufcourt, Witold Nazarewicz, Paul-Gerhard Reinhard (2020). Statistical Aspects of Nuclear Mass Models. Journal of Physics G: Nuclear and Particle Physics.
arXiv