Yemao Xia
Biographic Data
| ID | 10032819 |
|---|---|
| NAME | Yemao Xia |
| GIVEN NAMES | Yemao |
| FAMILY NAME | Xia |
| SIGNATURE | XIA Y |
| AFFILIATIONS | Nanjing Forestry University |
| ORCID | 0000-0001-7818-9825 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Variational Bayesian inference for sparse item response theory models
Item response theory (IRT) model is a widely appreciated statistical method in exploring the relationship between individual latent traits and item responses. In this paper, a sparse IRT model is established to address the sparsity of factor loadings. A global and local shrinkage prior is imposed to penalize the factor loadings: the global parameter controls the amount of shrinkage at the column levels, while the local parameter adjusts the penal…
Seasonal variations in moderate-to-vigorous physical activity among children and adolescents with visual impairment during different segments of the school day
Background and objective: The seasonal variation in physical activity (PA) among children and adolescents with visual impairment (VI) is a significant public health concern, as they often experience unique barriers to engaging in regular PA. This study examines the seasonal variation in accelerometer-assessed PA among children and adolescents with VI during four distinct segments of the school day: physical education (PE) class, recess, lunchtime…
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Seasonal variations in moderate-to-vigorous physical activity among children and adolescents with visual impairment during different segments of the school day
Background and objective: The seasonal variation in physical activity (PA) among children and adolescents with visual impairment (VI) is a significant public health concern, as they often experience unique barriers to engaging in regular PA. This study examines the seasonal variation in accelerometer-assessed PA among children and adolescents with VI during four distinct segments of the school day: physical education (PE) class, recess, lunchtime…
Variational Bayesian inference for sparse item response theory models
Item response theory (IRT) model is a widely appreciated statistical method in exploring the relationship between individual latent traits and item responses. In this paper, a sparse IRT model is established to address the sparsity of factor loadings. A global and local shrinkage prior is imposed to penalize the factor loadings: the global parameter controls the amount of shrinkage at the column levels, while the local parameter adjusts the penal…
Bayesian inference (1 work) · Bayesian probability (1 work) · Biology (1 work) · Cerebral Palsy and Movement Disorders (1 work) · Club (1 work) · Demography (1 work) · Ecology (1 work) · Frame (networking) (1 work) · Inclusion and Disability in Education and Sport (1 work) · Inference (1 work)