Publications by authors named "Eunju Hwang"

This paper considers a multivariate time series model for stock prices in the stock market. A multivariate heterogeneous autoregressive (HAR) model is adopted with exponentially decaying coefficients. This model is not only suitable for multivariate data with strong cross-correlation and long memory, but also represents a common structure of the joint data in terms of decay rates.

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A major task ahead for South Korea is to create age-friendly communities and environments that can support older residents' health, well-being, and quality of life. To that end, international partnerships have emerged to share information, assess need, and develop response strategies. In this study, the transferability of a US-developed age-friendly community resident survey, based on the WHO framework, was tested in two South Korean cities by comparing results to the same survey conducted in a US city.

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This paper is devoted to modeling and predicting COVID-19 confirmed cases through a multiple linear regression. Especially, prediction intervals of the COVID-19 cases are extensively studied. Due to long-memory feature of the COVID-19 data, a heterogeneous autoregression (HAR) is adopted with Growth rates and Vaccination rates; it is called HAR-G-V model.

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This paper deals with time series analysis for COVID-19 in South Korea. We adopt heterogeneous autoregressive (HAR) time series models and discuss the statistical inference for various COVID-19 data. Seven data sets such as cumulative confirmed (CC) case, cumulative recovered (CR) case and cumulative death (CD) case as well as recovery rate, fatality rate and infection rates for 14 and 21 days are handled for the statistical analysis.

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By 2050, one out of four people in Eastern Asia will be aged 65 and above. Thus, preparing to care for an older population is imperative. Addressing quality care for elders includes consideration of palliative and end-of-life care.

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