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Wenhao Cui

Biographic Data

ID8920871
NAMEWenhao Cui
GIVEN NAMESWenhao
FAMILY NAMECui
SIGNATURECUI W
AFFILIATIONSBeihang University
ORCID0000-0002-1352-903X
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Causal relationships between Covid-19 and osteoporosis

    Open Access•Kai Zhang, Wei Shi et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction The causal relationship between Coronavirus disease 2019 (COVID-19) and osteoporosis (OP) remains uncertain. We aimed to assess the effect of COVID-19 severity (severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, COVID-19 hospitalization, and severe COVID-19) on OP by a two-sample Mendelian randomization (MR) study. Methods We conducted a two-sample MR analysis using publicly available genome-wide association stud…

  • Laplace Estimator of Integrated Volatility When Sampling Times Are Endogenous

    Wenhao Cui•ARTICLE•Journal of Business and Economic…•2022

    We study a class of nonparametric volatility estimators based on the Laplace transform, which are robust to the presence of the endogeneity of observation times. Asymptotic properties and feasible central limit theorems are established. In the presence of time endogeneity, our bias-corrected Laplace estimator takes advantage of the informational content of time endogeneity, which leads to narrower confidence bounds. The finite sample properties o…

No prominent works on this page.

  • Laplace Estimator of Integrated Volatility When Sampling Times Are Endogenous

    Wenhao Cui•ARTICLE•Journal of Business and Economic…•2022

    We study a class of nonparametric volatility estimators based on the Laplace transform, which are robust to the presence of the endogeneity of observation times. Asymptotic properties and feasible central limit theorems are established. In the presence of time endogeneity, our bias-corrected Laplace estimator takes advantage of the informational content of time endogeneity, which leads to narrower confidence bounds. The finite sample properties o…

  • Causal relationships between Covid-19 and osteoporosis

    Open Access•Kai Zhang, Wei Shi et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction The causal relationship between Coronavirus disease 2019 (COVID-19) and osteoporosis (OP) remains uncertain. We aimed to assess the effect of COVID-19 severity (severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, COVID-19 hospitalization, and severe COVID-19) on OP by a two-sample Mendelian randomization (MR) study. Methods We conducted a two-sample MR analysis using publicly available genome-wide association stud…

Applied Mathematics (1 work) · Biology (1 work) · Bone and Joint Diseases (1 work) · COVID-19 Clinical Research Studies (1 work) · Econometrics (1 work) · Endogeneity (1 work) · Estimator (1 work) · Financial Risk and Volatility Modeling (1 work) · Genetic Associations and Epidemiology (1 work) · Genetic variants (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae