Journal articles

2026

1. Hamiltonian Monte Carlo for (Physics) Dummies

   Arghya Mukherjee and Dootika Vats

   Statistics and Applications, (Invited Submission) Special Issue on Recent Advances in Bayesian Statistics and Machine Learning, 2026

   arXiv Bib PDF Code

   @article{mukherjee2026hamiltonian,
     title = {Hamiltonian Monte Carlo for ({P}hysics) Dummies},
     author = {Mukherjee, Arghya and Vats, Dootika},
     journal = {Statistics and Applications, (Invited Submission) Special Issue on Recent Advances in Bayesian Statistics and Machine Learning},
     year = {2026},
     url = {https://doi.org/10.48550/arXiv.2601.01422},
   }

2. Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data

   Arghya Mukherjee, Arnab Hazra, and Dootika Vats

   Spatial Statistics, 2026

   arXiv Bib PDF Code

   @article{mukherjee2025scalable,
     title = {Scalable {B}ayesian inference for high-dimensional mixed-type multivariate spatial data},
     author = {Mukherjee, Arghya and Hazra, Arnab and Vats, Dootika},
     journal = {Spatial Statistics},
     year = {2026},
     url = {https://doi.org/10.48550/arXiv.2510.13233},
   }