ST202      
Probability, Distribution Theory and Inference

This information is for the 2012/13 session.

Teacher(s) responsible

Dr Matteo Barigozzi, COL.7.11 and Dr Kostas Kalogeropoulos, COL.6.10

Availability

BSc Actuarial Science, BSc Accounting and Finance, BSc Business Mathematics and Statistics, BSc Econometrics and Mathematical Economics, BSc Mathematics and Economics,  BSc Mathematics with Economics, BSc Econometrics and Mathematical Economics and MSc Econometrics and Mathematical Economics (Two Year Programme) and BSc Statistics with Finance. Available to General Course students and as an outside option.

Pre-requisites

MA100 Mathematical Methods and ST102 Elementary Statistical Theory. Students who have not taken these courses should contact Dr Kalogeropoulos.

Course content

The course covers the probability, distribution theory and statistical inference needed for third year courses in statistics and econometrics.

Michaelmas term
(Dr Matteo Barigozzi): Events and their probabilities. Random variables. Discrete and continuous distributions. Moments, moment generating functions and cumulant generating functions. Joint distributions and joint moments. Marginal and conditional densities. Independence, covariance and correlation. Sums of random variables and compounding. Multinomial and bivariate normal distributions. Law of large numbers and central limit theorem.

Lent term
(Dr K Kalogeropoulos): Functions of random variables. Sampling distributions. Criteria of estimation: consistency, unbiasedness, efficiency, minimum variance. Sufficiency. Maximum likelihood estimation. Confidence intervals. Tests of simple hypotheses. Likelihood ratio tests. Wald tests, score tests.

Teaching

Lectures: 20 MT, 20 LT.

Seminars: 9 MT, 10 LT, 1 ST

Formative coursework

Four term-time tests will measure students progress.

Indicative reading

G C Casella & R L Berger, Statistical Inference (primary reading); R Bartoszyński & M Niewiadomska-Bugaj, Probability and Statistical Inference (stresses comprehension of concepts rather than mathematics, complimentary reading only); J Jacod & P Protter, Probability Essentials (for further reading, a more advanced text on probability, using measure theoretic concepts and tools, still very accessible).

Assessment

Three-hour written examination in the ST.

^