3 papers
stat.ME2026
A Modified Bayesian Criterion for Model Selection in Mixed and Hierarchical Frameworks
Diogenes de Jesus Ramirez, Anderson Melchor Hernandez, Isabel Cristina Ramirez +1
In this work, we propose a modified Bayesian Information Criterion (BIC) specifically designed for mixture models and hierarchical structures. This criterion incorporates the deter…
math.PR2025
A large multi-agent system with noise both in position and control
Giuseppe D'Onofrio, Anderson Melchor Hernandez
In this work, we consider a multi-population system where the dynamics of each agent evolve according to a system of stochastic differential equations in a general functional setup…
quant-ph2024
Quantitative convergence of trained quantum neural networks to a Gaussian process
Anderson Melchor Hernandez, Filippo Girardi, Davide Pastorello +1
We study quantum neural networks where the generated function is the expectation value of the sum of single-qubit observables across all qubits. In [Girardi \emph{et al.}, arXiv:24…