PhD defence by Cecilie Olesen Recke

Identifiability in Statistical Models via Algebraic Geometry

Assessment Committee:
Professor Carsten Wiuf, Department of Mathematical Sciences, UCPH, University of Copenhagen (Chairperson)
Associate Professor Liam Solus, Department of Mathematics, KTH, Stockholm
Associate Professor Kaie Kubjas, Department of Mathematics and Systems Analysis , Aalto University

Supervisor(s):
Professor Niels Richard Hansen

Department:
Department of Mathematical Sciences

Place:
The defence is conducted as a hybrid defence.

To attend the defence in person:
HCØ, Room: Auditorium 3, Universitetsparken 5, 2100, København Ø

To attend the defence online:
Please follow the link to attend the defence online: https://ucph-ku.zoom.us/j/61612078769?pwd=D7Kt0P3boiHyBxYGYJC576e7gUHb7q.1 

MeetingID, if relevant: 616 1207 8769
Password, if relevant: 064079

Email address to gain access to the thesis: cor@math.ku.dk 
You will either receive a copy of the thesis or be informed where you can read a physical copy.

Short description of the thesis:
If we are only given partial information about a probability distribution how much about said distribution or its generating process can we recover? This broad question of identifiability will be posed and answered in different ways throughout this thesis using tools from algebraic geometry.