Počet záznamů: 1  

Robust Causal Inference for Irregularly Sampled Time Series: Applications in Climate and Paleoclimate Data Analysis

  1. 1.
    SYSNO ASEP0558291
    Druh ASEPA - Abstrakt
    Zařazení RIVO - Ostatní
    NázevRobust Causal Inference for Irregularly Sampled Time Series: Applications in Climate and Paleoclimate Data Analysis
    Tvůrce(i) Kathpalia, Aditi (UIVT-O) RID, ORCID, SAI
    Manshour, Pouya (UIVT-O) ORCID, RID, SAI
    Paluš, Milan (UIVT-O) RID, SAI, ORCID
    Celkový počet autorů3
    Zdroj.dok.EGU General Assembly 2022. - Göttingen : European Geosciences Union, 2022
    Poč.str.2 s.
    AkceEGU General Assembly 2022
    Datum konání23.05.2022 - 27.05.2022
    Místo konáníVienna / Online
    ZeměAT - Rakousko
    Typ akceWRD
    Jazyk dok.eng - angličtina
    Země vyd.DE - Německo
    Klíč. slovacausality ; compression complexity ; ordina patterns ; Irregularly Sampled Time Series ; paleoclimatology
    Obor OECDComputer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    CEPGA19-16066S GA ČR - Grantová agentura ČR
    Institucionální podporaUIVT-O - RVO:67985807
    AnotaceTo predict and determine the major drivers of climate has become even more important now as climate change poses a big challenge to humankind and our planet earth. Different studies employ either correlation, causality methods or modelling approaches to study the interaction between climate and climate forcing variables (anthropogenic or natural). This includes the study of interaction between global surface temperatures and CO2 rainfall in different locations and El Niño–Southern Oscillation (ENSO) phenomena. The results produced by different studies have been found to be different and debatable, presenting an ambiguous situation. In this work, we develop and apply a novel robust causality estimation technique for time-series data (to estimate causal influence between given observables), that can help to resolve the ambiguity
    PracovištěÚstav informatiky
    KontaktTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Rok sběru2023
    Elektronická adresahttps://meetingorganizer.copernicus.org/EGU22/EGU22-4795.html
Počet záznamů: 1  

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