P-lag ratio analysis for sound pattern detection in time series

التفاصيل البيبلوغرافية
العنوان: P-lag ratio analysis for sound pattern detection in time series
المؤلفون: Alahassa, Nonvikan Karl-Augustt
المساهمون: Département de Mathématiques et de Statistiques UdeM- Montréal, Université de Montréal (UdeM)
المصدر: International Conference on Data Science and Big Data Analytics ; International Conference on Data Science and Big Data Analytics (Star Conferences) ; https://hal.archives-ouvertes.fr/hal-03207278Test ; International Conference on Data Science and Big Data Analytics (Star Conferences), May 2018, Toronto, Canada
بيانات النشر: HAL CCSD
سنة النشر: 2018
المجموعة: Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
مصطلحات موضوعية: P-lag ratio, Signal, Sound pattern, Time series, Feature transformation, Mixture hidden Markov models (MHMM), [STAT]Statistics [stat], [MATH]Mathematics [math], [STAT.AP]Statistics [stat]/Applications [stat.AP]
جغرافية الموضوع: Toronto
الوقت: Toronto, Canada
الوصف: International audience ; In this paper, we investigate sound patterns in financial historical data. We apply the p-lag ratio transformation to real stocks data and random time series data. The results reveal specific pattern to stocks times series, in contrast to time series generate at random.
نوع الوثيقة: conference object
اللغة: English
العلاقة: hal-03207278; https://hal.archives-ouvertes.fr/hal-03207278Test
الإتاحة: https://hal.archives-ouvertes.fr/hal-03207278Test
رقم الانضمام: edsbas.A28532B0
قاعدة البيانات: BASE