Sökning: "glesa och svaga effekter"

Hittade 2 uppsatser innehållade orden glesa och svaga effekter.

1. 1. Detection of Sparse and Weak Effects in High-Dimensional Supervised Learning Problems, Applied to Human Microbiome Data

   Master-uppsats, KTH/Matematisk statistik

   Författare :Fred Lindahl; [2020]
   Nyckelord :Signal detection; signal identification; higher criticism; microbiome data; sparse and weak effects; goodness-of-fit tests; kolmogorov-smirnov tests; Signal detektering; signal identifiering; higher criticism; mikrobiom data; glesa och svaga effekter; goodness-of-fit tester; Kolmogorov-smirnov tester;

   Sammanfattning : This project studies the signal detection and identification problem in high-dimensional noisy data and the possibility of using it on microbiome data. An extensive simulation study was performed on generated data using as well as a microbiome dataset collected on patients with Parkinson's disease, using Donoho and Jin's Higher criticism, Jager and Wellner's phi-divergence-based goodness-of-fit-test and Stepanova and Pavlenko's CsCsHM statistic . LÄS MER

3. 2. Large scale inference under sparse and weak alternatives: non-asymptotic phase diagram for CsCsHM statistics

   Master-uppsats, KTH/Matematisk statistik

   Författare :Oskar Stattin; [2017]
   Nyckelord :;

   Sammanfattning : High-throughput measurement technology allows to generate and store huge amounts of features, of which very few can be useful for any one single problem at hand. Examples include genomics, proteomics and astronomy, where massive multiple testing often needs to be per- formed, expecting a few significant effects and essentially a null back- ground. LÄS MER