دورية أكاديمية

Random selection of factors preserves the correlation structure in a linear factor model to a high degree.

التفاصيل البيبلوغرافية
العنوان: Random selection of factors preserves the correlation structure in a linear factor model to a high degree.
المؤلفون: Antti J Tanskanen, Jani Lukkarinen, Kari Vatanen
المصدر: PLoS ONE, Vol 13, Iss 12, p e0206551 (2018)
بيانات النشر: Public Library of Science (PLoS), 2018.
سنة النشر: 2018
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: In a very high-dimensional vector space, two randomly-chosen vectors are almost orthogonal with high probability. Starting from this observation, we develop a statistical factor model, the random factor model, in which factors are chosen stochastically based on the random projection method. Randomness of factors has the consequence that correlation and covariance matrices are well preserved in a linear factor representation. It also enables derivation of probabilistic bounds for the accuracy of the random factor representation of time-series, their cross-correlations and covariances. As an application, we analyze reproduction of time-series and their cross-correlation coefficients in the well-diversified Russell 3,000 equity index.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0206551
URL الوصول: https://doaj.org/article/8609ae7472aa40afae520a0cfee934f8
رقم الأكسشن: edsdoj.8609ae7472aa40afae520a0cfee934f8
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0206551