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Probability & Statistics

Descrizione

Probability theory is a deductive science describing the axioms for calculating the probability of some event given some known state of the world. In the first part of the course, we define the probability axioms, introduce the concept of events, random variables, and probability distributions. In inductive practice we are interested to learn about the state of the world given some event, i.e., the data. Statistics is probability theory turned upside down. In this course we will learn about ``estimation'' procedures, in particular, maximum likelihood and the method of moments. We will introduce hypothesis testing and linear regression analysis.

 

PREREQUISITES

  • Introduction to Computational Science

 

REFERENCES

  • Statistical Inference, Casella and Berger, Duxbury, 2th edition.
    Available at https://fsalamri.files.wordpress.com/2015/02/casella_berger_statistical_inference1.pdf

Persone

 

Wit E. C.

Docente titolare del corso

Artico I.

Assistente

Gander L.

Assistente

Informazioni aggiuntive

Semestre
Autunnale
Anno accademico
2019-2020
ECTS
6
Lingua
Inglese
Offerta formativa
Bachelor of Science in Informatics, Corso di base, Corso, 2° anno

Master of Science in Management and Informatics, Management track, Corso, 1° anno