LSE: ST552 Probability & Mathematical Statistics I

Lecturers: Dr Giulia Livieri and Prof Umut Cetin

Structure: 20 hours of lectures and 10 hours of seminars. Click here for timetable.

Course guide:  https://www.lse.ac.uk/resources/calendar2024-2025/courseGuides/ST/2024_ST552.htm

To sign up:  please email Muhammed Iqbal at M.S.Iqbal@lse.ac.uk (cc'ing lgs.fin.math@gmail.com) with your name, affiliation, official university email, and PhD supervisor.

Course summary :

This course provides theoretical and axiomatic foundations of probability and mathematical statistics. In particular, the following topics will be covered:

1. Measure spaces; Caratheodory extension theorem; Borel-Cantelli lemmas.

2. Random variables; monotone-class theorem; different kinds of convergence.

3. Kolmogorov’s 0-1 law; construction of Lebesgue integral.

4. Monotone convergence theorem; Fatou's lemmas; dominated convergence theorem.

5. Expectation; L^p spaces; uniform integrability.

6. Characteristic functions; Levy inversion formula; Levy convergence theorem; CLT.

7. Principle and basis for statistical inference: populations and samples, decision theory, basic measures for estimators.

8. Estimation: U and V statistics, unbiased estimators, MVUE, MLE.

9. Hypothesis testing: Neyman-Pearson lemma, UMP, confidence sets.

10. Product measures; conditional expectation.

Imperial College: MSc in Mathematics and Finance

There are a limited number  of places available to students of the LGS on modules of the Imperial College MSc in Mathematics and Finance. The following rules apply:

• Interested PhD students should email the course lecturer and cc the Co-Director Eyal Neuman (e.neumann@imperial.ac.uk) for approval
• No marking or grading of coursework or exam will be provided
• The lecturer or the Co-Director may refuse candidates (e.g., if not enough spaces, lack of prerequisites, or other reasons)

Courses available in Autumn 2024:

Core Modules:

• Fundamentals of Option Pricing (Dr Zheng) MATH70107
• Statistical Methods for Finance (Prof. Cass) MATH70108
• Stochastic Processes (Dr Neuman) MATH70109
• Quantitative Risk Management (Prof. Zheng & Dr Coache) MATH70110
• Computing for Finance - Python (Dr Muguruza & Prof. Jacquier) MATH70112
  
  

Elective Modules:

• Data Science for Fintech, Regtech, Suptech (Dr Cambe) MATH70117 (Weeks 2-6)
• Quantum Computing (Prof. Jacquier & Dr Kondratyev) MATH70118 (Weeks 7-11)
• Deep Learning (Dr Salvi) MATH70116 (Weeks 2-6)
• Portfolio Management (Dr Shadmi) MATH70129 (Weeks 7-11)
• Convex Optimisation (Dr Coache) MATH70122 (Weeks 7-11)