Bayesian Econometrics and Models of Biostatistics

2019/2020

Учебный год

ENG

Обучение ведется на английском языке

5

Кредиты

Кто читает:

Департамент экономики

Статус:

Курс по выбору

Когда читается:

1-й курс, 3 модуль

Course Syllabus

Abstract

The course syllabus establishes the minimum requirements for the knowledge and skills of the student, as well as determines the content and types of classes and reporting. The program is intended for teachers conducting the discipline “Bayesian econometrics and biostatistics models” and students of the field of study 38.04.01 “Economics” who are studying at the educational program “Applied Economics and Mathematical Methods”.

Learning Objectives

• The construction and study of methods for selecting probabilistic models that best reflect the essential features of biomedical data, as well as methods for collecting, systematizing and processing data

Expected Learning Outcomes

• Know the basic theories in the field of modern statistics, the theoretical foundations of the construction, application and analysis of Bayesian models of biostatistics, the principles of construction, evaluation, testing and interpretation of Bayesian models as applied to biomedical research
• put statistical hypotheses, draw meaningful conclusions from the results of modeling, identify the strengths and weaknesses of the applied models and give recommendations regarding the quality and reliability of the results
• To be able to select relevant literature on biomedical research topics, compile a literature review, identify the limitations of existing research methods, compare the possibilities of using these methods in the context of a real research task, draw up the results of personal research in the form of a report on the work done, a report at a scientific / methodical seminar, propose approaches to the construction and analysis of biomedical data models

Course Contents

• Key points of the Bayesian approach
• Introduction to Bayesian inference
• Distributions with two or more parameters
• Applications of Bayesian methods

Assessment Elements

• homework 1
  Students are supposed to perform hometask with answers to topics and appropriate examples.
• homework 2
• exam

Interim Assessment

• Interim assessment (3 module)
  0.5 * exam + 0.25 * homework 1 + 0.25 * homework 2

Bibliography

Recommended Core Bibliography

• Wooldridge, J. M. . (DE-588)131680463, (DE-576)298669293. (2006). Introductory econometrics : a modern approach / Jeffrey M. Wooldridge. Mason, Ohio [u.a.]: Thomson/South-Western. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edswao&AN=edswao.250894459

Recommended Additional Bibliography

• Lesaffre, E., & Lawson, A. (2012). Bayesian Biostatistics. Chichester, West Sussex: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=462881