17. Doktorand:innentreffen der Stochastik

Session

Session B1 Statistics

3 Aug 2022, 13:30

HS 4 (Universität Klagenfurt)

Conveners

Session B1 Statistics: Chair: Maximilian Kertel

• Nils Sturma (Technical University of Munich)
• Lea Riebschläger (University of Trier)
• David Strieder (Technical University of Munich)

Contribution list Timetable

11. Half-Trek Criterion for Identifiability of Latent Variable Models

03/08/2022, 13:30

Statistics

Talk

Linear structural equation models relate random variables of interest via a linear equation system that features stochastic noise. Each model corresponds to a directed graph whose edges represent the non-zero coefficients in the equation system. Prior research has developed a variety of methods to decide parameter identifiability in models with latent variables. Identifiability holds if the...

14. Confidence in Causal Discovery with Linear Causal Models

03/08/2022, 14:00

Statistics

Talk

Inferring causal relations of a system is a fundamental problem of statistics. A widely studied approach employs structural causal models that model noisy functional relations among a set of interacting variables. The underlying causal structure is naturally represented by a directed graph whose edges indicate direct causal dependencies. Under the assumption of linear relations with...

8. Construction of Admissible Decision Procedures in Statistical Classification

03/08/2022, 14:30

Statistics

Talk

To classify an observation, we assume that each class can be represented by a probability distribution, which might be the result of a previous estimate. An older but famous example is provided by Fisher's classification of iris species based on length measurements of their sepals and petals with class-related distributions. With the increasing relevance of machine learning methods,...