73 citations · 232 across the 28 of their papers we have counts for
5 papers · 1 filter
A Bayesian Semiparametric Vector Multiplicative Error Model
Nicola Donelli, Stefano Peluso, Antonietta Mira
Interactions among multiple time series of positive random variables are crucial in diverse financial applications, from spillover effects to volatility interdependence. A popular…
Distributional Results for Model-Based Intrinsic Dimension Estimators
Francesco Denti, Diego Doimo, Alessandro Laio +1
Modern datasets are characterized by a large number of features that may conceal complex dependency structures. To deal with this type of data, dimensionality reduction techniques…
A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef
Luiza Piancastelli, Nial Friel, Julie Vercelloni +2
Relative abundance is a common metric to estimate the composition of species in ecological surveys reflecting patterns of commonness and rarity of biological assemblages. Measureme…
Compatibility-based Bayesian inference: asymptotic limits, variational principles, and Wasserstein geometry
Daniele Cassani, Antonietta Mira, Marco Tarsia
Approximate Bayesian Computation (ABC) replaces intractable likelihood evaluations with comparisons between observed and simulated data. We develop a measure-theoretic formulation…
Revealing three-dimensional quantum criticality by Sr-substitution in Han Purple
Stephan Allenspach, Pascal Puphal, Joosep Link +20
Classical and quantum phase transitions (QPTs), with their accompanying concepts of criticality and universality, are a cornerstone of statistical thermodynamics. An exemplary cont…