Beraha, Mario

1. The semi-hierarchical Dirichlet Process and its application to clustering homogeneous distributions
   2020/05/20 by Beraha, Mario, Guglielmi, Alessandra, Quintana, Fernando A. · 3 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
2. MCMC computations for Bayesian mixture models using repulsive point processes
   2020/11/12 by Beraha, Mario, Argiento, Raffaele, Møller, Jesper +1 · 1 citation
   #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
3. Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
   2021/01/22 by Pegoraro, Matteo, Beraha, Mario · 1 citation
   #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
4. BayesMix: Bayesian Mixture Models in C++
   2022/05/17 by Mario Beraha, Beraha, Mario, Bruno Guindani +5 · 1 citation
   Computer Science · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms
5. Bayesian clustering of high-dimensional data via latent repulsive mixtures
   2023/03/04 by Lorenzo Ghilotti, Mario Beraha, Ghilotti, Lorenzo +3 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
6. JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software
   2021/07/20 by Mario Beraha, Beraha, Mario, Daniele Falco +3 · 1 citation
   Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Bayesian Methods and Mixture Models #Statistical Methods and Inference