Thèse de doctorat : Université de Fribourg, 2014.
|
Thèse de doctorat : Université de Fribourg, 2020.
Short Abstract Sympathy is often considered to be a pro-attitude central to our social lives. I argue, however, that it is epistemically weak and thereby not effective on its own. We are in need of another attitude that combines the motivational aspect of sympathy with a more cognitive component that enables us to understand others. In this thesis, I argue that availability, a concept ...
|
Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018ECO015.
We investigate the shape of risk appetite when the bank is financed also with contingent convertible bonds (CoCos). Our contribution to the existent literature is to assess risk appetite in a multi-dimensional perspective and to account for differences among banks' clusters, especially in a world with CoCos and policy rates approaching zero or negative figures. In our model, the bank objective...
|
Thèse de doctorat : Université de Fribourg : 2003.
Le premier objectif de la thèse consiste à reconsidérer la légitimation de l’indépendance des banques centrales. La théorie du biais inflationniste est mise en doute par l’expérience de la Reserve Bank cf New Zealand qui montre l’absence dune relation causale entre indépendance et le processus de la désinflation. Cette démarche permet d’éclaircir la définition et...
|
Thèse de doctorat : Université de Fribourg, 2015.
|
Thèse de doctorat : Università della Svizzera italiana, 2004 ; 2004ECO004.
This thesis presents a Bayesian analysis of a non-linear time series model. In particular, we deal with a mixture of normal distributions whose means are linear functions of the past values of the observed variable. Since the component densities of the mixture can be viewed as the conditional distributions of different Gaussian autoregressive models, the model is referred as mixture of...
|
Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020ECO001.
Bayesian mixture models are ubiquitous in statistics due to their simplicity and flexibility and can be easily employed in a wide variety of contexts. In this dissertation, we aim at providing a few contributions to current Bayesian data analysis methods, often motivated by research questions from biological applications. In particular, we focus on the development of novel Bayesian mixture...
|
Thèse de doctorat : Université de Fribourg, 2012.
|
Thèse de doctorat : Università della Svizzera italiana, 2016 ; 2016ECO007.
The main objective I pursue in this thesis is to better understand how different factors may independently and in combination influence retailers' ordering decisions under different supply chain structures (single agent and multi agent), different demand uncertainty (deterministic and stochastic), and different interaction among retailers (no interaction, competition and cooperation). I...
|
Thèse de doctorat : Université de Fribourg, 2017.
|
