activity
20202024
most citedLogistic-beta processes for dependent random probabilities with beta marginals

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024★ 1 cited

Logistic-beta processes for dependent random probabilities with beta marginals

Changwoo J. Lee, Alessandro Zito, Huiyan Sang +1

The beta distribution serves as a canonical tool for modeling probabilities in statistics and machine learning. However, there is limited work on flexible and computationally conve…

stat.ME2023

Pareto optimal proxy metrics

Alessandro Zito, Dylan Greaves, Jacopo Soriano +1

North star metrics and online experimentation play a central role in how technology companies improve their products. In many practical settings, however, evaluating experiments ba…

stat.ME2023★ 1 cited

Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors

Alessandro Zito, Tommaso Rigon, David B. Dunson

Dirichlet process mixtures are particularly sensitive to the value of the precision parameter controlling the behavior of the latent partition. Randomization of the precision throu…

stat.AP2022

Inferring taxonomic placement from DNA barcoding allowing discovery of new taxa

Alessandro Zito, Tommaso Rigon, David B. Dunson

In ecology it has become common to apply DNA barcoding to biological samples leading to datasets containing a large number of nucleotide sequences. The focus is then on inferring t…

stat.ME2020

Bayesian nonparametric modelling of sequential discoveries

Alessandro Zito, Tommaso Rigon, Otso Ovaskainen +1

We aim at modelling the appearance of distinct tags in a sequence of labelled objects. Common examples of this type of data include words in a corpus or distinct species in a sampl…