Computational techniques for Probability and Statistics I

Course Detail

Degree: Bachelor
Standard Academic Year
Course delivery methods: face-to-face
Subject: Mathematical sciences
Program
School: Institute of Mathematics ans Statistics (IME)
Department
Campus: São Paulo main campus
Classroom
Course Offering Year
Course Offering Month: January - January
Weekday and Period
Capacity: 40
Credits: 8
Language: English
Course Number: MAE5704

Computational techniques for Probability and Statistics I University of Sao Paulo

Course Overview

Exploratory data analysis and computational techiques are fundamental to understand modern modern statistical methods.

Learning Achievement

Introduce modern techniques of data analysis with concomitant using of computer. Using statistical packages.

Competence

Course prerequisites

Grading Philosophy

Tests, Lists of exercises and seminars

Course schedule

1. Exploratory data analysis (univariate and multivariate): position measurements, dispersion, asymmetry, robust measures, bivariate measures, association between variables, outliers identification, processing variables, graphics. 2. Linear Regression Models, Regression Tough and Smoothing Methods. 3. Stochastic Simulation: inversion methods, rejection, composition and resampling methods. 4. Numerical Optimization: Newton-Raphson, scoring, quasi-Newton. 5. EM Algorithm. 6. "Bootstrap" and "Jacknife". 7. Monte Carlo methods and Gaussian quadratures

Course type

Online Course Requirement

Instructor

Denise Aparecida Botter, Eduardo Jordao Neves, Anatoli Iambartsev

Other information

Site for Inquiry

Please inquire about the courses at the address below.

Email address: https://www.ime.usp.br/en