Publications

A Note on Monte Carlo Integration in High Dimensions

Published in The American Statistician, 2023

This paper examines Monte Carlo integration for high-dimensional functions and obtains finite sample guarantees for its performance through concentration inequalities.

Recommended citation: Tang, Y. (2023). A Note on Monte Carlo Integration in High Dimensions. The American Statistician (accepted). https://arxiv.org/abs/2206.09036

Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference

Published in JASA, 2022

This paper looks at the application of adaptive quadrature to Bayesian inference, showing the rate of convergence as well as demonstrating the ultility of the method in a few challenging examples.

Recommended citation: Bilodeau, Stringer and Tang. "Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference." Journal of the American Statistical Association, 1-11. [https://www.tandfonline.com/doi/full/10.1080/01621459.2022.2141635]

Types of Parental Psychological Control and Rural and Urban Chinese Adolescents’ Psychological Well-Being and Academic Functioning

Published in Child Development, 2022

This paper studies the effect of parental psychological control on adolescent among 642 urban and rural Chinese adolescents.

Recommended citation: Fang, Q., Liu, C., Tang, Y., Shi, Z., Wang, Q., and Helwig, C. C. (2022). Types of parental psychological control and rural and urban Chinese adolescents’ psychological well‐being and academic functioning. Child Development, 93(2), 484-501. https://srcd.onlinelibrary.wiley.com/doi/full/10.1111/cdev.13699

Modified Likelihood Root in High Dimensions

Published in JRSS-B, 2020

This paper is the behavour of the modified likelihood root in high dimensions. A related piece of work on the saddlepoint approximation and laplace approximation in high-dimension is currently being written.

Recommended citation: Tang and Reid. (2020). " Modified Likelihood Root in High Dimensions." Journal of the Royal Statistical Society Series B: Statistical Methodology 82(5), 1349-1369 https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssb.12389