Philip L. H. Yu

Education University of Hong Kong

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i-10 index

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Mayer Alvo

University of Ottawa

Wai Keung Li

Education University of Hong Kong

Jianhua Zhao

Yunnan University of Finance And Economics

K.W. Chiu

Queen Elizabeth Hospital

Paul H. Lee

University of Southampton

Eva L. H. Tsui

Food and Health Bureau

Gkk Leung

Queen Mary Hospital

Ling Xin

University of South China

Hang Xu

Huawei Technologies (China)

Edmond H. C. Wu

South China University of Technology

Cooperative Institutions

University of Hong Kong

150

Chinese University of Hong Kong

Michigan State University

Universidad Nacional Autónoma de México

Universidade Federal de São Carlos

Universidade de São Paulo

University of Toronto

Campbell Collaboration

George Mason University

Indiana University – Purdue University Indianapolis

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Papers

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Diagnostic checking of the vector multiplicative error model

Computational Statistics & Data Analysis (2015)

F.C. Ng W.K. Li Philip L. H. Yu

Goodness of fit

10.1016/j.csda.2015.07.012

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Citations (6)

ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction

Findings of the Association for Computational Linguistics: ACL 2022 (2024)

Henry Peng Zou Vinay Samuel Yue Zhou Weizhi Zhang Liancheng Fang

Benchmark (surveying)

Value (mathematics)

10.18653/v1/2024.findings-acl.20

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Citations (4)

A Comparative Study of Chinese, American and Japanese Nurses’ Perceptions of Ethical Role Responsibilities

Nursing Ethics (2003)

Samantha M.C. Pang Aiko Sawada Emiko Konishi Douglas P. Olsen Philip L. H. Yu

This article reports a survey of nurses in different cultural settings to reveal their perceptions of ethical role responsibilities relevant to nursing practice. Drawing on the Confucian theory of ethics, the first section attempts to understand nursing ethics in the context of multiple role relationships. The second section reports the administration of the Role Responsibilities Questionnaire (RRQ) to a sample of nurses in China (n = 413), the USA (n = 163), and Japan (n = 667). Multidimensional preference analysis revealed the patterns of rankings given by the nurses to the statements they considered as important ethical responsibilities. The Chinese nurses were more virtue based in their perception of ethical responsibilities, the American nurses were more principle based, and the Japanese nurses were more care based. The findings indicate that the RRQ is a sensitive instrument for outlining the embedded sociocultural factors that influence nurses’ perceptions of ethical responsibilities in the realities of nursing practice. This study could be important in the fostering of partnerships in international nursing ethics.

10.1191/0969733003ne607oa

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Citations (54)

Combining technical trading rules using particle swarm optimization

Expert Systems with Applications (2013)

Fei Wang Philip L. H. Yu David W. Cheung

Trading strategy

Technical analysis

Stock trading

Pairs trade

10.1016/j.eswa.2013.10.032

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Citations (46)

Analysis of translocations observed in three different populations

Cytogenetic and Genome Research (1986)

Stuart Schwartz Catherine G. Palmer Philip L. H. Yu Joann A. Boughman Maimon M. Cohen

A sample of 437 reciprocal translocations was classified into three groups according to their method of ascertainment (Group I = couples with repeated abortions; Group II = karyotypically unbalanced carriers; Group III = balanced translocation heterozygotes). Statistical analysis showed that the distributions of chromosome breaks observed in the three groups could not be accounted for by chromosome arm length alone. In couples with repeated abortions, an excess of breaks in 7p, 17p, and 22q was found, whereas in the balanced translocation heterozygotes an excess of breaks was found only in 11q. An excess of breaks was found in arms 9p, 14p, 18p, 18q, 21q, and 22q in karyotypically unbalanced probands. A significant decrease of breaks in the medial chromosome regions was accompanied by a concomitant increase in the terminal regions in all groups. The three groups demonstrated different distributions of chromosome arm involvement in the observed translocations. Balanced translocation heterozygotes had the highest frequency of large (greater than the length of 4p) translocated segments and an excess in the frequency of large-large translocations, whereas karyotypically unbalanced probands had the highest frequency of small (shorter than 21q) translocations and an excess in the frequency of small-small translocations. For each type of chromosomal imbalance observed, the balanced translocation heterozygotes demonstrated the greatest potential imbalance and the karyotypically unbalanced probands the least.

Heterozygote advantage

Proband

10.1159/000132249

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Citations (4)

Is partial anodontia a syndrome of Black Americans?

PubMed (1978)

LaForrest D. Garner Philip L. H. Yu

A study was designed to test the prevalence of congenitally missing permanent teeth in two Black American samples of children, ages 3-18. When combined, male with female, and compared with the Caucasian sample, the incidence of congenital absence is 2.57% and 5.15% for Caucasians.

Anodontia

Black male

10.1043/0003-3219(1978)048<0085:ipaaso>2.0.co;2

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Citations (6)

Decision Tree Modeling for Ranking Data

Springer eBooks (2010)

Philip L. H. Yu Wai Ming Wan Paul H. Lee

Tree (set theory)

Data set

Ranking SVM

10.1007/978-3-642-14125-6_5

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Citations (23)

Factor Analysis for Ranked Data with Application to a Job Selection Attitude Survey

Journal of the Royal Statistical Society Series A (Statistics in Society) (2005)

Philip L. H. Yu Kwok Fai Lam Sherman Lo

Summary Factor analysis is a powerful tool to identify the common characteristics among a set of variables that are measured on a continuous scale. In the context of factor analysis for non-continuous-type data, most applications are restricted to item response data only. We extend the factor model to accommodate ranked data. The Monte Carlo expectation–maximization algorithm is used for parameter estimation at which the E-step is implemented via the Gibbs sampler. An analysis based on both complete and incomplete ranked data (e.g. rank the top q out of k items) is considered. Estimation of the factor scores is also discussed. The method proposed is applied to analyse a set of incomplete ranked data that were obtained from a survey that was carried out in GuangZhou, a major city in mainland China, to investigate the factors affecting people's attitude towards choosing jobs.

Factor (programming language)

Rank (graph theory)

Data set

Gibbs sampling

10.1111/j.1467-985x.2005.00363.x

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Citations (19)

An alternative nonparametric tail risk measure

Quantitative Finance (2020)

Keith Law W.K. Li Philip L. H. Yu

The proposition of tail risk as a new asset pricing factor has gained traction in recent years. Recent work by Almeida, Ardison, Garcia, and Vicente (Nonparametric tail risk, stock returns, and the macroeconomy. J. Financ. Economet., 2017, 15(3), 333–376) proxies the cross-sectional variation in returns by Fama-French portfolios, which are further summarized into a few basis assets via principal component analysis. The number of states of nature is set higher than that of the basis assets to estimate the stochastic discount factors, which in turn risk-neutralize the excess expected shortfall as a tail risk measure. As an alternative approach to this means of dimension reduction, we propose tackling the problem directly by forming portfolios that minimize the excess expected shortfall. Our direct measure exhibits greater explanatory power when applied to more liquid, nonlottery-style stock returns. More importantly, our proposed approach reveals direct exposure to downside systematic risk without the need for an additional risk-neutralization step.

Tail risk

Downside risk

Stock (firearms)

Coherent risk measure

Spectral risk measure

10.1080/14697688.2020.1787491

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Citations (0)

Detecting change points in the stress‐strength reliability P(X < Y)

Applied Stochastic Models in Business and Industry (2018)

Hang Xu Philip L. H. Yu Mayer Alvo

Abstract We address the statistical problem of detecting change points in the stress‐strength reliability R = P ( X < Y ) in a sequence of paired variables ( X , Y ). Without specifying their underlying distributions, we embed this nonparametric problem into a parametric framework and apply the maximum likelihood method via a dynamic programming approach to determine the locations of the change points in R . Under some mild conditions, we show the consistency and asymptotic properties of the procedure to locate the change points. Simulation experiments reveal that, in comparison with existing parametric and nonparametric change‐point detection methods, our proposed method performs well in detecting both single and multiple change points in R in terms of the accuracy of the location estimation and the computation time. Applications to real data demonstrate the usefulness of our proposed methodology for detecting the change points in the stress‐strength reliability R . Supplementary materials are available online.

Sequence (biology)

10.1002/asmb.2413

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Citations (2)