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  1. Article

    Study of the trend pattern of COVID-19 using spline-based time series model: a Bayesian paradigm

    A vast majority of the countries are under economic and health crises due to the current epidemic of coronavirus disease 2019 (COVID-19). The present study analyzes the COVID-19 using time series, an essential...

    Jitendra Kumar, Varun Agiwal, Chun Yip Yau in Japanese Journal of Statistics and Data Sc… (2022)

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    Article

    A propensity score adjustment method for longitudinal time series models under nonignorable nonresponse

    Analysis of data with nonignorable nonresponse is an important and challenging task. Although some methods have been developed for inference under nonignorable nonresponse, they are only available for independ...

    Zhan Liu, Chun Yip Yau in Statistical Papers (2022)

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    Article

    Spatial Sampling Design Using Generalized Neyman–Scott Process

    In this paper we introduce a new procedure for spatial sampling design. It is found in previous studies (Zhu and Stein in J Agric Biol Environ Stat 11:24–44, 2006) that the optimal sampling design for spatial ...

    Sze Him Leung, Ji Meng Loh, Chun Yip Yau… in Journal of Agricultural, Biological and En… (2021)

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    Article

    Bartlett correction of frequency domain empirical likelihood for time series with unknown innovation variance

    The Bartlett correction is a desirable feature of the likelihood inference, which yields the confidence region for parameters with improved coverage probability. This study examines the Bartlett correction for...

    Kun Chen, Ngai Hang Chan… in Annals of the Institute of Statistical Mathematics (2020)

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    Article

    A hidden Markov model for earthquake prediction

    Earthquake occurrence is well-known to be associated with structural changes in underground dynamics, such as stress level and strength of electromagnetic signals. While the causation between earthquake occurr...

    Cheuk Fung Yip, Wai Leong Ng, Chun Yip Yau in Stochastic Environmental Research and Risk… (2018)

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    Article

    LARS-type algorithm for group lasso

    The least absolute shrinkage and selection operator (lasso) has been widely used in regression analysis. Based on the piecewise linear property of the solution path, least angle regression provides an efficien...

    Chun Yip Yau, Tsz Shing Hui in Statistics and Computing (2017)

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    Article

    New recursive estimators of the time-average variance constant

    Estimation of the time-average variance constant (TAVC) of a stationary process plays a fundamental role in statistical inference for the mean of a stochastic process. Wu (2009) proposed an efficient algorithm to...

    Chun Yip Yau, Kin Wai Chan in Statistics and Computing (2016)