Dr Wenxing Guo
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Email
wg22745@essex.ac.uk -
Telephone
+44 (0) 1206 874425
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Location
3A.528, Colchester Campus
Research and professional activities
Research interests
Statistical Machine Learning
Online Learning, Federated learning, Transfer learning, Sparse learning.
Statistical Inference
High-dimensional inference.
Statistical Models
Multivariate regression and classification.
Teaching and supervision
Current teaching responsibilities
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Foundational Mathematics for Data Science (MA111)
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Mathematics Careers and Employability (MA199)
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Applied Regression and Experimental Data Analysis (MA717)
Publications
Journal articles (8)
Guo, W., Balakrishnan, N. and He, M., (2023). Envelope-based sparse reduced-rank regression for multivariate linear model. Journal of Multivariate Analysis. 195, 105159-105159
Guo, W., Zhang, X., Jiang, B., Kong, L. and Hu, Y., (2023). Wavelet‑based Bayesian approximate kernel method for high‑dimensional data analysis. Computational Statistics. 39 (4), 2323-2341
Guo, W., Balakrishnan, N. and Qin, S., (2023). A modified partial envelope tensor response regression. Stat. 12 (1), e615-
Guo, W., Balakrishnan, N. and Bian, M., (2021). Reduced rank regression with matrix projections for high-dimensional multivariate linear regression model. Electronic Journal of Statistics. 15 (2), 4167-4191
Guo, W., Qin, S. and Zhao, Z., (2020). Generalized ridge and principal correlation estimator of the regression coefficient in growth curve model. Linear Algebra and its Applications. 591, 115-133
Guo, W., Liu, X. and Zhang, S., (2016). The principal correlation components estimator and its optimality. Statistical Papers. 57 (3), 755-779
Tian, Y. and Guo, W., (2016). On comparison of dispersion matrices of estimators under a constrained linear model. Statistical Methods & Applications. 25 (4), 623-649
Dong, B., Guo, W. and Tian, Y., (2014). On relations between BLUEs under two transformed linear models. Journal of Multivariate Analysis. 131, 279-292
Conferences (1)
Ding, L., Yu, D., Xie, J., Guo, W., Hu, S., Liu, M., Kong, L., Dai, H., Bao, Y. and Jiang, B., (2022). Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
Grants and funding
2023
MRC/FNR Returning Safely to high-impact activities after JOINT replacements (SafeJOINTs)
Medical Research Council
