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Xiaoyue Xiong

Biographic Data

ID8867348
NAMEXiaoyue Xiong
GIVEN NAMESXiaoyue
FAMILY NAMEXiong
SIGNATUREXIONG X
AFFILIATIONSDepartment of Human Development and Family Studies, The Pennsylvania State University
ORCID0000-0002-8843-2216
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Simultaneous detection of gradual and abrupt structural changes in Bayesian longitudinal modelling using entropy and model fit measures

    Open Access•Yanling Li, Xiaoyue Xiong et al.•ARTICLE•British Journal of Mathematical…•2026

    Although individuals may exhibit both gradual and abrupt changes in their dynamic properties as shaped by both slowly accumulating influences and acute events, existing statistical frameworks offer limited capacity for the simultaneous detection and representation of these distinct change patterns. We propose a Bayesian regime‐switching (RS) modelling framework and an entropy measure adapted from the frequentist framework to facilitate simultaneo…

  • Integrated Trend and Lagged Modeling of Multi-Subject, Multilevel, and Short Time Series

    Xiaoyue Xiong, Yanling Li et al.•ARTICLE•Multivariate Behavioral Research•2026

    Trends represent systematic intra-individual variations that occur over slower time scales that, if unaccounted, are known to yield biases in estimation of momentary change patterns captured by time series models. The applicability of detrending methods has rarely been assessed in the context of multi-level longitudinal panel data, namely, nested data structures with relatively few measurements. This paper evaluated the efficacy of a series of tw…

  • Empathy and cyberbystander behavior

    Open Access•Yanni Shen, Lu Yuan et al.•ARTICLE•Current Psychology•2023

No prominent works on this page.

  • Empathy and cyberbystander behavior

    Open Access•Yanni Shen, Lu Yuan et al.•ARTICLE•Current Psychology•2023

  • Simultaneous detection of gradual and abrupt structural changes in Bayesian longitudinal modelling using entropy and model fit measures

    Open Access•Yanling Li, Xiaoyue Xiong et al.•ARTICLE•British Journal of Mathematical…•2026

    Although individuals may exhibit both gradual and abrupt changes in their dynamic properties as shaped by both slowly accumulating influences and acute events, existing statistical frameworks offer limited capacity for the simultaneous detection and representation of these distinct change patterns. We propose a Bayesian regime‐switching (RS) modelling framework and an entropy measure adapted from the frequentist framework to facilitate simultaneo…

  • Integrated Trend and Lagged Modeling of Multi-Subject, Multilevel, and Short Time Series

    Xiaoyue Xiong, Yanling Li et al.•ARTICLE•Multivariate Behavioral Research•2026

    Trends represent systematic intra-individual variations that occur over slower time scales that, if unaccounted, are known to yield biases in estimation of momentary change patterns captured by time series models. The applicability of detrending methods has rarely been assessed in the context of multi-level longitudinal panel data, namely, nested data structures with relatively few measurements. This paper evaluated the efficacy of a series of tw…

Bayesian probability (2 works) · Mental Health Research Topics (2 works) · Monte Carlo method (2 works) · Psychometric Methodologies and Testing (2 works) · Autoregressive model (1 work) · Bayesian inference (1 work) · Bullying, Victimization, and Aggression (1 work) · Context (archaeology) (1 work) · Contrast (vision) (1 work) · Developmental psychology (1 work)

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