303 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Politecnico di TorinoIT17 papers
- Sapienza University of RomeIT12 papers
- University of TurinIT10 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Collegio Carlo AlbertoIT9 papers
- Decision Sciences (United States)US7 papers
- École Polytechnique Fédérale de LausanneCH7 papers
- The Abdus Salam International Centre for Theoretical Physics (ICTP)IT7 papers
- The University of Texas at AustinUS7 papers
- University of MilanIT7 papers
- Institute for Complex SystemsIT6 papers
- Istituto Nazionale di Fisica NucleareIT6 papers
15 papers · 1 filter
Spreading of an infectious disease between different locations
Alessio Muscillo, Paolo Pin, Tiziano Razzolini
The endogenous adaptation of agents, that may adjust their local contact network in response to the risk of being infected, can have the perverse effect of increasing the overall s…
Continuous projections onto ideal convergent sequences
Paolo Leonetti
Let be a meager ideal. Then there are no continuous projections from onto the set of bounded sequences which are -co…
Extremal properties of the multivariate extended skew-normal distribution
Boris Beranger, Simone A. Padoan, Yangfan Xu +1
The skew-normal and related families are flexible and asymmetric parametric models suitable for modelling a diverse range of systems. We show that the multivariate maximum of a hig…
Bayesian Modular and Multiscale Regression
Michele Peruzzi, David B. Dunson
We tackle the problem of multiscale regression for predictors that are spatially or temporally indexed, or with a pre-specified multiscale structure, with a Bayesian modular approa…
Variance reduction properties of the reparameterization trick
Ming Xu, Matias Quiroz, Robert Kohn +1
The reparameterization trick is widely used in variational inference as it yields more accurate estimates of the gradient of the variational objective than alternative approaches s…
Stochastic approximations to the Pitman-Yor process
Julyan Arbel, Pierpaolo De Blasi, Igor Pruenster
In this paper we consider approximations to the popular Pitman-Yor process obtained by truncating the stick-breaking representation. The truncation is determined by a random stoppi…
Bayesian Analysis of Privacy Attacks on GPS Trajectories
Sirio Legramanti
The success of applications for sharing GPS trajectories raises serious privacy concerns, in particular about users' home addresses. In this paper we show that a Bayesian approach…
Convergence Rates of Subseries
Paolo Leonetti
Let be a positive real sequence decreasing to such that the series is divergent and . We show that there exists a constant $θ\…
From statistical inference to a differential learning rule for stochastic neural networks
Luca Saglietti, Federica Gerace, Alessandro Ingrosso +2
Stochastic neural networks are a prototypical computational device able to build a probabilistic representation of an ensemble of external stimuli. Building on the relationship bet…
Extremal properties of the univariate extended skew-normal distribution
Boris Beranger, Simone A. Padoan, Yangfan Xu +1
We consider the extremal properties of the highly flexible univariate extended skew-normal distribution. We derive the well-known Mills' inequalities and Mills' ratio for the exten…
Scalable Importance Tempering and Bayesian Variable Selection
Giacomo Zanella, Gareth Roberts
We propose a Monte Carlo algorithm to sample from high dimensional probability distributions that combines Markov chain Monte Carlo and importance sampling. We provide a careful th…
Mater certa est, pater numquam: What can Facebook Advertising Data Tell Us about Male Fertility Rates?
Francesco Rampazzo, Emilio Zagheni, Ingmar Weber +2
In many developing countries, timely and accurate information about birth rates and other demographic indicators is still lacking, especially for male fertility rates. Using anonym…
Decentralized Pure Exchange Processes on Networks
Daniele Cassese, Paolo Pin
We define a class of pure exchange Edgeworth trading processes that under minimal assumptions converge to a stable set in the space of allocations, and characterise the Pareto set…
Conjugate Bayes for probit regression via unified skew-normal distributions
Daniele Durante
Regression models for dichotomous data are ubiquitous in statistics. Besides being useful for inference on binary responses, these methods serve also as building blocks in more com…
Measuring Information Burden: From Coalition-Based Reasoning to the Price System
Shuige Liu
The price system is often said to economize on information. This paper asks how much information it saves. I develop a formal framework for measuring the informational burden that…