Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Amanda M Y Chu"'
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0292327 (2023)
The study of assortativity allows us to understand the heterogeneity of networks and the implication of network resilience. While a global measure has been predominantly used to characterize this network feature, there has been little research to sug
Externí odkaz:
https://doaj.org/article/c0282fc628c844a29a57d85ef8da2fe6
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279888 (2023)
Systemic risk refers to the uncertainty that arises due to the breakdown of a financial system. The concept of "too connected to fail" suggests that network connectedness plays an important role in measuring systemic risk. In this paper, we first rec
Externí odkaz:
https://doaj.org/article/6753799d93e04c5398e5cdaa4ddffa07
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0261969 (2022)
During the 2019 novel coronavirus disease (COVID-19) pandemic, many employees have switched to working from home. Despite the findings of previous research that working from home can improve productivity, the scale, nature, and purpose of those studi
Externí odkaz:
https://doaj.org/article/a7b6fbc162b443628043d2c92bb9bad3
Publikováno v:
Data Science in Science, Vol 3, Iss 1 (2024)
In financial markets, systemic risk is a type of risk in which the failure of one stock in the market triggers a sequence of failures. Our study proposes a Bayesian decision scheme to dynamically monitor systemic risk under any preferences and restri
Externí odkaz:
https://doaj.org/article/bf7e4aaebd0041028696ae82f75084d8
Publikováno v:
Education Sciences, Vol 11, Iss 8, p 446 (2021)
The global coronavirus disease (COVID-19) outbreak forced a shift from face-to-face education to online learning in higher education settings around the world. From the outset, COVID-19 online learning (CoOL) has differed from conventional online lea
Externí odkaz:
https://doaj.org/article/6ba25281c911481a9ff49823a11c0338
Publikováno v:
Journal of Econometrics. 227:151-167
This paper aims to explore a modified method of high-dimensional dynamic variance–covariance matrix estimation via risk factor mapping, which can yield a dependence estimation of asset returns within a large portfolio with high computational effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8ae33cf82d45846145ee468167a5afe
https://doi.org/10.1016/j.jeconom.2020.04.040
https://doi.org/10.1016/j.jeconom.2020.04.040
Publikováno v:
Informatics for Health and Social Care. 47:211-222
This study examined the association between caregivers' burdens and their individual characteristics and identified characteristics that are useful for predicting the level of caregiver burden. We successfully surveyed 387 family caregivers, having t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e9312ebb5c7b9c1cffe13f6a0fb4728
https://doi.org/10.1080/17538157.2021.1988955
https://doi.org/10.1080/17538157.2021.1988955
Publikováno v:
Family Relations. 71:130-146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afc4b53b4cddce02b2a339d61deeb7c3
https://doi.org/10.1111/fare.12601
https://doi.org/10.1111/fare.12601
Publikováno v:
Applied Stochastic Models in Business and Industry. 38:96-115
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::718cd3d9a0ad6082e4cfff16806c888b
https://doi.org/10.1002/asmb.2650
https://doi.org/10.1002/asmb.2650
Publikováno v:
Communications in Statistics: Case Studies, Data Analysis and Applications. 8:15-42
This article proposes a novel multivariate generalized autoregressive conditionally heteroscedastic (GARCH) model that incorporates the modified Cholesky decomposition for a covariance matrix in or...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06dc0abe2cc06c62d9ef872bba5f8301
https://doi.org/10.1080/23737484.2021.1972876
https://doi.org/10.1080/23737484.2021.1972876