This is an introductory course about Bayesian inference and modelling for data analysis. We will balance between theoretical and analytical tools and practice. In particular, for practical implementation of Bayesian models on real data we w
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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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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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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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"Development finance" course, LM degrees SMA and SAF

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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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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 simple and more advanced exercises on the theory of stochastic processes.  The students will acqui
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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 simple and more advanced exercises on the theory of stochastic processes.  The students will a
Info Aggiuntive
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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This is a resource for setting up useful materials and communications to support students who need personal advice or help on topics related to Statistical Methods and Applications courses. You can find the contact details of the student tutors and t
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LM in Scienze Statistiche e Decisionali
BAYESIAN MODELLING

This is an introductory course about Bayesian inference and Bayesian modelling for data analysis. We will balance between theoretical and analytical tools and practice. In particula
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LM in Scienze Statistiche e Decisionali
BAYESIAN MODELLING
This is an introductory course about Bayesian inference and Bayesian modelling for data analysis. We will balance between theoretical and analytical tools and practice. In p
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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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This course is intended for students with advanced knowledge of statistics. Being familiar with stochastic processes, computational techniques, and time series facilitates attendance in this class. 

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This is an introductory course about Bayesian inference and modelling for data analysis. We will balance between theoretical and analytical tools and practice. In particular, for practical implementation of Bayesian models on real data we w
Info Aggiuntive
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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LM Statistical Methods and Applications
BAYESIAN MODELLING Luca Tardella
https://corsidilaurea.uniroma1.it/it/users/lucatardellauniroma1itThe registration key will be delivered to all students during the first lecture. If you miss it please
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Corso di Laurea Statistical Methods and Applications LM-82 Codice esame: 10589562 SURVEY METHODOLOGY29939
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Statistical Methods and Applications #download SM brochure# Master programme overview Intestazione (media)e Data management and analysis, i.e. Statistics, is pervasive in any modern professional activity. SMA - Statistical Methods and A
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This is an unconventional teaching module which aims at joining quantitative modelling skills with real case studies. It is divided into modular units which are taught by academic and non academic instructors. There is a strong emphasis on exploiting
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