2026-09-20T16:24:40Z https://opus4.kobv.de/opus4-uni-passau/oai

oai:kobv.de-opus4-uni-passau:1531 2025-08-26 bibliography:false doc-type:PhDThesis open_access ddc ddc:004 ddc:330

A statistical perspective on machine learning: three essays on improvement, application and interpretation of predictive algorithms Matthias Wild 004 330 machine learning hypothesis test statistical learning boosting random forest In this thesis we address a series of topics at the interface between statistics and machine learning. This includes the improvement of predictive algorithms using statistical concepts, potential and challenges in the application of predictive algorithms in areas traditionally covered by statistical theory, and the interpretation of black-box algorithms by means of statistical hypothesis testing. Universität Passau Passau Innstrasse 29, 94032 Passau Harry Haupt Joachim Schnurbus 2024-12-19 2025-01-31 PhDThesis Text urn:nbn:de:bvb:739-opus4-15311 application/pdf eng Standardbedingung laut Einverständniserklärung thesis.doctoral Universität Passau Passau Wirtschaftswissenschaftliche Fakultät 1 https://opus4.kobv.de/opus4-uni-passau/oai/container/index/docId/1531 https://opus4.kobv.de/opus4-uni-passau/frontdoor/index/index/docId/1531