Wenhao Cui
Biographic Data
| ID | 8920871 |
|---|---|
| NAME | Wenhao Cui |
| GIVEN NAMES | Wenhao |
| FAMILY NAME | Cui |
| SIGNATURE | CUI W |
| AFFILIATIONS | Beihang University |
| ORCID | 0000-0002-1352-903X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Causal relationships between Covid-19 and osteoporosis
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
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
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
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)