Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 22 for “"Settore MAT/06 - Probabilita' e Statistica Matematica"”.
-
LAWS OF LARGE NUMBERS AND CENTRAL LIMIT THEOREMS FOR RANDOM GEOMETRIC MEASURES. A COMPUTATIONAL APPROACH
… with sufficiently large intensity gives information on the typical features of the process). In Baryshnikov, Yukich and Penrose’s works new theoretical results and some examples are presented, but simulations are not included; moreover, the hypothesis of Poisson distribution of the underlying …
-
Optimal choices: mean field games with controlled jumps and optimality in a stochastic volatility model
… admit a regular Markovian solution, an approximate Nash equilibrium for the corresponding n-player games is constructed, and the rate of convergence is provided. Finally, the general theory is applied to a simple illiquid inter-bank market model, where the banks can adjust their reserves only …
-
Deep neural network models for image classification and regression
… order to capture the textural as well as the chromatic cues therein. Further, in order to improve the representativeness of the extracted features, we reinforce them with a feature learning stage by means of an autoencoder model. This latter is topped with a logistic regression layer in order to …
-
The influence of the inclusion of biological knowledge in statistical methods to integrate multi-omics data
… layers (i.e. omics data) together. The classical statistical methods could not address the challenges of combining multiple data types, leading to the development of ad hoc methodologies, which however depend on several factors. Among those, it is important to consider whether “prior knowledge” on …
-
From data to mathematical analysis and simulation in models in epidemiology and ecology
… SIR model, which was designed to estimate the probabilities of influenza transmission within the classes, grades and schools using Markov Chain Monte Carlo (MCMC) methods. We found that the virus was mainly transmitted within class, with lower levels of transmission between students in …
-
Advanced Statistical Inference for Stochastic Quasi-Reaction Systems
… dynamics. The traditional local linear approximation methods for the estimation of the reaction rates face significant challenges in certain conditions. When the system is observed at short intervals, high correlations between successive observations result in numerical instability, while …
-
Automatic Speech Recognition Quality Estimation
Evaluation of automatic speech recognition (ASR) systems is difficult and costly, since it requires manual transcriptions. This evaluation is usually done by computing word error rate (WER) that is the most popular metric in ASR community. Such computation is doable only if the manual references …
-
Mathematical models for vector-borne disease: effects of periodic environmental variations.
Firstly, I proposed a very simple SIS/SIR model for a general vector-borne disease transmission considering constant population sizes over the season, where contact between the host and the vector responsible of the transmission is assumed to occur only during the summer of each year. I discussed …
-
Mathematical modelling of emerging and re-emerging infectious diseases in human and animal populations
… one from the other but they all deal with the mathematical modelling of emerging infectious diseases which, beyond being the leitmotiv of this thesis, is an important research area in the field of epidemiology and public health. A minor but significant part of the thesis has a theoretical …
-
Mathematical modeling for epidemiological inference and public health support
… policy makers have been increasingly turning to mathematical modeling to support their decisions. This trend has been calling for the introduction of a new class of models that not only are capable to explain qualitatively the dynamics of infectious diseases, but also have the capability to …
-
A comparative analysis of the metabolomes of different berry tissues between Vitis vinifera and wild American Vitis species, supported by a computer-assisted identification strategy
… starting from the grape metabolome project (Mattivi et al. unpublished data), I had the opportunity to put hands on a huge dataset built on the berries of over 100 Vitis vinifera grape varieties, tens of grape interspecific hybrids and few wild grape species analyzed per four years; all …
-
FUNCTIONAL STATISTICAL LEARNING METHODS APPLIED TO HUMAN EMOTION RECOGNITION FROM FACIAL VIDEOS
The ever-growing fascination with automatically analyzing and understanding human behavior has inspired a profound focus on the evolution of facial expressions and the recognition of corresponding emotions. By harnessing functional statistical learning methods, we develop a comprehensive …
-
Theoretical and Algorithmic Solutions for Null models in Network Theory
… the concept of Null Model borrowed from the statistical sciences identifies the elective strategy to obtain a baseline points of modelling comparison [2]. Hereafter, a null model is a graph which matches one specific graph in terms of some structural features, but which is otherwise taken to …
-
GAUSSIAN PROCESSES FOR 3D SHAPE MODELLING OF NOISY AND INCOMPLETE DATA. AN APPLICATION TO HUMAN EARS RECONSTRUCTION
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 …
-
SDEs and MFGs towards Machine Learning applications
We present results that span three interconnected domains. Initially, our analysis is centred on Backward Stochastic Differential Equations (BSDEs) featuring time-delayed generators. Subsequently, we direct our interest towards Mean Field Games (MFGs) incorporating absorption aspects, with a focus …
-
ON QUASICONVEX CONDITIONAL MAPS. DUALITY RESULTS AND APPLICATIONS TO FINANCE
… in sets of random variables. These results match the standard dual representation for quasiconvex real valued maps provided by Penot and Volle. As a financial byproduct, we apply this theory to the case of dynamic certainty equivalents and conditional risk measures.
-
Two generalizations of the skew-normal distribution and two variants of McCarthy's theorem
… distributions are proposed and studied. Some mathematical properties of both distributions are derived. Part two is focused on the extension of the theorem of characterization of scoring rules, due to McCarthy (1956) ([16] of part 2), in two directions: for countable infinite sample spaces, …
Page 1 of 2