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APPLIED STATISTICS

Degree course: 
Corso di Second cycle degree in MATHEMATICS
Academic year when starting the degree: 
2024/2025
Year: 
1
Academic year in which the course will be held: 
2024/2025
Course type: 
Supplementary compulsory subjects
Credits: 
8
Period: 
Second semester
Standard lectures hours: 
80
Detail of lecture’s hours: 
Lesson (48 hours), Laboratory (32 hours)
Requirements: 

Probability theory

Final Examination: 
Orale

Final project (to be presented in front of the class) and active in class participation.

Assessment: 
Voto Finale

The goal of this course is to introduce students to the basics of applied statistics, univariate
and multivariate, from a descriptive and inferential point of view. For inference we will take both
a frequentist and a Bayesian prospective. Simulation algorithms such as optimization algorithms,
Bootstrap, Jackknife, Monte Carlo integration, Importance sampling and Markov chain Monte
Carlo will also be introduced. Data and examples will be used to illustrate the theory and the
code to perform applied statistical analysis will be either provided by the instructor or developed
by the students.

• Exploratory data analysis, (univariate, bivariate, and multivariate) via descriptive statistics and graphical rapresentatios

• Review of main random variables, discrete and continuous, using Monte Carlo simulation and random number generators

• Population and sample

• Point estimation

• Confidence intervals

• Hypothesis testing

• Prediction

• Model choice

• Linear and logistic regression

Lectures and lab sessions.

Office hours will take place before and after the start of classes and/or by appointment by emailing: antonietta.mira@uninsubria.it

Professors

MIRA ANTONIETTA

Borrowers