Mathematical Statistics: Nonparametric Inference

This course introduces methods for analyzing data without relying on predefined probability distributions – known as nonparametric inference. Gain advanced knowledge in modern inference theory, including applications in survival analysis, density estimation, and regression. The course covers key theoretical concepts such as weak convergence, empirical processes, and bootstrap methods, along with estimation techniques like M- and Z-estimators.

The course is elective within certain specializations of the Bachelor’s or Master’s programmes in science at Lund University. You may also choose to study it as a standalone course.

The language of instruction is English, and the course is offered at the second cycle (advanced level). To be eligible, you need prior studies in probability theory equivalent to MASC01 (7.5 credits) and English 6/B.

Teaching consists of lectures and a mandatory project, where you explore a selected topic in depth through independent study. The project concludes with an oral presentation. Assessment is based on an oral exam at the end of the course and the oral presentation of your project.

Prerequisites

MASC01 Probabilty theory 7.5 credits is required. English 6/English Course B.

Tuition fees for non-EU/EEA citizens

Citizens of countries outside:

• The European Union (EU)
• The European Economic Area (EEA) and
• Switzerland

are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.

Tuition fees, payments and exemptions

Full programme/course tuition fee: SEK 21,250
First payment: SEK 21,250

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Note that you may also need to pay an application fee, or provide proof of exemption.

Application fee

No tuition fees for citizens of the EU, EEA and Switzerland

There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.