Notifications

Starting Nov. 6, there are no extra lectures. The course runs according to the regular schedule of lectures and exercises.

Schedule 

Lecture
Tuesday 12:20 - 13:50 K7  
Exercise Class
Thursday 14:00 - 15:30 K10B Instructor: Michal PeŇ°ta

Course Materials

The appendix to the class notes has been extended. A new section has been inserted, summarizing basic information about Brownian motion and Brownian bridge.

Most of the contents of the course is covered by two monographs. Both are available in the library or can be purchased (e.g., from Amazon).

Course Plan

The course covers methods for analysis of censored data: non-negative random variables with time-to-event interpretation whose values are not always fully observed (survival analysis, reliability theory, risk analysis)

The lecture focuses on the development, theoretical justification, and interpretation of the methods.

The exercise classes will teach how to apply these methods to real problems but may include some theoretical tasks as well.

The following topics will be included:

Prerequisites

This course assumes the knowledge of linear regression theory and, preferably but not necessarily, generalized linear models. Intermediate-level knowledge of probability theory, continuous martingales, and counting process theory is also required.

Master students of "Probability, statistics and econometrics" must have completed courses NMSA407 Linear Regression and NMTP436 Continuous Martingales and Counting Processes before enrolling in this course.

Master students of "Financial and Insurance Mathematics" must have completed courses NMSA407 Linear Regression and NMFM408 Probability for Finance and Insurance before enrolling in this course.

Requirements for Credit/Exam 

Credit:

The credit for the exercise class will be awarded to the student who is present at the exercise class sessions (two absences are tolerated) and hands in a satisfactory solution to each assignment by the prescribed deadline.

Exam:

The exam will be oral.