Global ETD Search

Evaluation of Surrogate Endpoints with Applications in Respiratory Clinical Trials

Zolghadr, MaryamUniversità degli Studi di Torino2018

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Quantitative decision-making in drug development

SAINT-HILARY, GaelleUniversità degli Studi di Torino2018

unito Repository record for Quantitative decision-making in drug development (opens in a new tab)

Corporate credit risk propagation through commercial relationships: Complex networks, machine learning andBayesian spatial and spatio-temporal methods

Montagna, Silvia, Berloco, ClaudiaUniversità degli Studi di Torino2021

unito Repository record for Corporate credit risk propagation through commercial relationships: Complex networks, machine learning andBayesian spatial and spatio-temporal methods (opens in a new tab)

Statistical methods for longitudinal medical data with applications

Amongero, MartinaUniversità degli Studi di Torino2024

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Statistical and Probabilistic Approaches to Hydrological Data Analysis: Rainfall Patterns, Copula-like Models and First Passage Time Approximations

Di Nardo, Elvira, Ferraris, Stefano, Martini, TommasoUniversità degli Studi di Torino2024

unito Repository record for Statistical and Probabilistic Approaches to Hydrological Data Analysis: Rainfall Patterns, Copula-like Models and First Passage Time Approximations (opens in a new tab)

Innovative adaptive designs in oncology clinical trials with drug combinations

Jimenez Moro, Jose LuisUniversità degli Studi di Torino2018

unito Repository record for Innovative adaptive designs in oncology clinical trials with drug combinations (opens in a new tab)

Bayesian and Stochastic Techniques for Mixed Effects Models in Early Phase Drug Development

Erhardt, Elvira MariaUniversità degli Studi di Torino2019

unito Repository record for Bayesian and Stochastic Techniques for Mixed Effects Models in Early Phase Drug Development (opens in a new tab)

On Exchangeable Partition Ensembles

Ruggiero, Matteo, Dalla Pria, MarcoUniversità degli Studi di Torino2026

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Statistical methods for using available evidence to support decision-making

DI STEFANO, FULVIOPolitecnico di Torino2024

L'abstract è presente nell'allegato / the abstract is in the attachment

poli-torino Repository record for Statistical methods for using available evidence to support decision-making (opens in a new tab)

A new evidence measure for Bayesian Inference

MANCA, MARAUniversità degli Studi di Cagliari2023

In the last sixty years there have been several attempts to build a measure of evidence that covers, in a Bayesian context, the role that the p-value has played in the frequentist setting. A prominent example is the decision test based on the Bayes Factor. Worth to mention it is also the e-value, …

cagliari Repository record for A new evidence measure for Bayesian Inference (opens in a new tab)

Mediation analysis for different types of Causal questions: Effect of Cause and Cause of Effect

MURTAS, ROSSELLAUniversità degli Studi di Cagliari2016

Many statistical analyses aim at a causal explanation of the data. When discussing this topic it is important to specify the exact query we want to talk about. A typical causal question can be categorized in two main classes: questions on the causes of observed effects and questions on the effects …

cagliari Repository record for Mediation analysis for different types of Causal questions: Effect of Cause and Cause of Effect (opens in a new tab)

Objective bayesian variable selection for censored data

PERRA, SILVIAUniversità degli Studi di Cagliari2013

In this thesis we study the problem of selecting a set of regressors when the response variable follows a parametric model (such as Weibull or lognormal) and observations are right censored. Under a Bayesian approach, the most widely used tools are the Bayes Factors (BFs) which are, however, …

cagliari Repository record for Objective bayesian variable selection for censored data (opens in a new tab)

FUNCTIONAL STATISTICAL LEARNING METHODS APPLIED TO HUMAN EMOTION RECOGNITION FROM FACIAL VIDEOS

JI, RONGJIAOUniversità degli Studi di Milano2023

… corresponding emotions. By harnessing functional statistical learning methods, we develop a comprehensive methodology that capitalizes on the dynamic properties of continuity and evolvability inherent in functional data extracted from facial videos, which possess distinct properties compared to …

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GAUSSIAN PROCESSES FOR 3D SHAPE MODELLING OF NOISY AND INCOMPLETE DATA. AN APPLICATION TO HUMAN EARS RECONSTRUCTION

MARREIROS MALVEIRO VALDEIRA, FILIPAUniversità degli Studi di Milano2022

Mathematical modelling of 3D shapes is a requirement in a vast and increasing number of applications, especially when it comes to the human shape. Despite being an active branch of research, with many proposed solutions, some settings remain particularly challenging. An example of such an open …

milano Repository record for GAUSSIAN PROCESSES FOR 3D SHAPE MODELLING OF NOISY AND INCOMPLETE DATA. AN APPLICATION TO HUMAN EARS RECONSTRUCTION (opens in a new tab)

Parametric modeling of dependence of bivariate quantile regression residuals' signs

COLUMBU, SILVIAUniversità degli Studi di Cagliari2015

In this thesis, we propose a non-parametric method to study the dependence of the quantiles of a multivariate response conditional on a set of covariates. We define a statistic that measures the conditional probability of concordance of the signs of the residuals of the conditional quantiles of …

cagliari Repository record for Parametric modeling of dependence of bivariate quantile regression residuals' signs (opens in a new tab)