L'obiettivo formativo principale dell’insegnamento è l'apprendimento da parte degli studenti dei principali metodi relativi alla teoria dei processi aleatori, sia discreti che continui.

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LM in Data ScienceSTATISTICAL LEARNING
The Goal: expose you to a variety of (statistical) methods and models and give you a flavor of some interesting theoretical results, under different assumptions, that support and clarify their practical relev
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The course provides a broad introduction to stochastic processes. In particular the aim is  - to give a rigorous introduction to the theory of stochastic processes, - to discuss the most important stochastic processes in some dept
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Demo of pre-selection self assessment test for Data Science prospective students
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This course has the target of providing the students with the modern techniques of measuring
quantitatively advanced topics in economic statistics. In particular, our focus will be on
three main interrelated directions: 1) the analysis of p
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Learning goals. General learning targets:  The course is organised as a series of classes where the students will have the possibility to solve and discuss the solutions of a series of advanced exercises on the theory of stochastic processes. Â
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These courses are meant to provide students with the elements of Probability theory and Fundamentals of R whose knowledge is required for the international MS programmes Statistical Methods and Applications and Data Science. The courses are taught in
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This course uses statistical methods, both stochastic and deterministic, to analyze topics such as productivity, efficiency and growth at micro, sectorial, and macro level. To begin with, first it will be examined data from firms that will be useful
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The course provides a broad introduction to stochastic processes.  In particular the aim is   - to give a rigorous introduction to the theory of stochastic processes,  - to discuss the most important stochastic processes in some depth with exa
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