New Frontiers in Bayesian Statistics
BAYSM 2021, Online, September 1–3
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Article
Open AccessBayesian GARCH modeling of functional sports data
The use of statistical methods in sport analytics has gained a rapidly growing interest over the last decade, and nowadays is common practice. In particular, the interest in understanding and predicting an ath...
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Chapter and Conference Paper
Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks
In analyzing brain networks, it is of notable interest to cluster together nodes, representing brain regions, that share the same connectivity patterns, i.e., common parameters for the generative process of th...
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Chapter and Conference Paper
Bayesian Nonparametric Predictive Modeling for Personalized Treatment Selection
develop a Bayesian nonparametric predictive model to establish personalized therapeutic strategies for oncology patients. We leverage characteristics of both the patient and disease to support decision ma...
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Book and Conference Proceedings
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Article
Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis
In professional tennis, it is often acknowledged that the server has an initial advantage. Indeed, the majority of points are won by the server, making the serve one of the most important elements in this spor...
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Article
Computational challenges and temporal dependence in Bayesian nonparametric models
Müller et al. (Stat Methods Appl, 2017) provide an excellent review of several classes of Bayesian nonparametric models which have found widespread application in a variety of contexts, successfully highlighting ...
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Article
Open AccessErratum to: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data
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Article
Open AccessAn integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data
The Human Microbiome has been variously associated with the immune-regulatory mechanisms involved in the prevention or development of many non-infectious human diseases such as autoimmunity, allergy and cancer...
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Book and Conference Proceedings
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Article
A Bayesian framework for describing and predicting the stochastic demand of home care patients
Home care providers are complex structures which include medical, paramedical and social services delivered to patients at their domicile. High randomness affects the service delivery, mainly in terms of unpl...
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Article
A blocked Gibbs sampler for NGG-mixture models via a priori truncation
We define a new class of random probability measures, approximating the well-known normalized generalized gamma (NGG) process. Our new process is defined from the representation of NGG processes as discrete me...
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Article
Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components
The great influence of uncertainties on the behavior of physical systems has always drawn attention to the importance of a stochastic approach to engineering problems. Accordingly, in this paper, we address th...
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Chapter
Modeling the Association Between Clusters of SNPs and Disease Responses
The aim of the paper is to discuss the association between SNP genotype data and a disease. For genetic association studies, the statistical analyses with multiple markers have been shown to be more powerful, ...
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Article
Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times
We propose a class of Bayesian semiparametric mixed-effects models; its distinctive feature is the randomness of the grou** of observations, which can be inferred from the data. The model can be viewed under...
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Chapter and Conference Paper
Analysis of Hospitalizations of Patients Affected by Chronic Heart Disease
In this paper we present a Bayesian model to analyze sequences of hospitalizations of patients affected by chronic heart disease, focusing not only on the sequence but also on the times between two next events...
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Chapter and Conference Paper
Bayesian Analysis and Prediction of Patients’ Demands for Visits in Home Care
Home care (HC) providers are complex structures which include medical, paramedical, and social services delivered to patients at their domicile. High randomness affects the service delivery, mainly in terms of...
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Chapter
Mixed-effects modelling of Kevlar fibre failure times through Bayesian non-parametrics
We examine the accelerated failure time model for univariate data with right censoring, with application to failure times of Kevlar fibres grouped by spool, subject to different stress levels. We propose a sem...
