Computational techniques for Probability and Statistics I University of Sao Paulo
Exploratory data analysis and computational techiques are fundamental to understand modern modern statistical methods.
Introduce modern techniques of data analysis with concomitant using of computer. Using statistical packages.
Tests, Lists of exercises and seminars
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
Online Course Requirement
Denise Aparecida Botter, Eduardo Jordao Neves, Anatoli Iambartsev
Site for Inquiry
Please inquire about the courses at the address below.
Email address: https://www.ime.usp.br/en