People_
Dr Linh Nghiem
Lecturer in Statistics
School of Mathematics &
Statistics
School of Mathematics &
Statistics
Address
F07 - Carslaw Building
The University of Sydney
Details
Member of Sydney Southeast Asia Centre
Websites
Dr Linh Nghiem is a methodological and applied statisticians who is interested in developing innovative methodologies and working with collaborators to address scientific questionsusing data. His methodological research is focused on measurement error modelling, dimension reduction and graphical models. On the applied side, Linh is collaborating with scientists to investigate human perception of music as well as how music can be used to improve social empathy among people in society.
Timetable
| Project title | Research student |
|---|---|
| Semi-metric machine learning and deep learning techniques to investigate the value at risk in financial market | Nia CHEN |
Publications
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Book Chapters
- Nghiem, L., Tabak, B., Wallmark, Z., Alvi, T., Cao, J., Cao, J. (2022). Recent Advances on Sampling Methods and Educational Statistics. In Hon Keung Tony Ng and Daniel F. Heitjan (Eds.), Recent Advances on Sampling Methods and Educational Statistics, (pp. 201-214). Switzerland: Springer Nature Switzerland. [More Information]
Journals
- Nghiem, L., Potgieter, C. (2025). A linear errors-in-variables model with heteroscedastic measurement errors. Statistica Sinica, 36(1), 1-41. [More Information]
- Nghiem, L., Hui, F., Mueller, S., Welsh, A. (2024). Likelihood-based surrogate dimension reduction. Statistics and Computing, 34(1), 51-1-51-15. [More Information]
- Nghiem, L., Hui, F., Mueller, S., Welsh, A. (2022). Estimation of graphical models for skew continuous data. Scandinavian Journal of Statistics: theory and applications, 49(4), 1811-1841. [More Information]
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2025
- Nghiem, L., Potgieter, C. (2025). A linear errors-in-variables model with heteroscedastic measurement errors. Statistica Sinica, 36(1), 1-41. [More Information]
2024
- Nghiem, L., Hui, F., Mueller, S., Welsh, A. (2024). Likelihood-based surrogate dimension reduction. Statistics and Computing, 34(1), 51-1-51-15. [More Information]
2022
- Nghiem, L., Hui, F., Mueller, S., Welsh, A. (2022). Estimation of graphical models for skew continuous data. Scandinavian Journal of Statistics: theory and applications, 49(4), 1811-1841. [More Information]
- Tabak, B., Wallmark, Z., Nghiem, L., Alvi, T., Sunahara, C., Lee, J., Cao, J. (2022). Initial evidence for a relation between behaviorally assessed empathic accuracy and affect sharing for people and music. Emotion, 22, 1-14. [More Information]
- Nghiem, L., Tabak, B., Wallmark, Z., Alvi, T., Cao, J., Cao, J. (2022). Recent Advances on Sampling Methods and Educational Statistics. In Hon Keung Tony Ng and Daniel F. Heitjan (Eds.), Recent Advances on Sampling Methods and Educational Statistics, (pp. 201-214). Switzerland: Springer Nature Switzerland. [More Information]
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2021
- Byrd, M., Nghiem, L., McGee, M. (2021). Bayesian regularization of Gaussian graphical models with measurement error. Computational Statistics and Data Analysis, 156, 1-10. [More Information]
- Wallmark, Z., Nghiem, L., Marks, L. (2021). Does Timbre Modulate Visual Perception? Exploring Crossmodal Interactions. Music Perception, 39(1), 1-20. [More Information]
2020
- Nghiem, L., Byrd, M., Potgieter, C. (2020). Estimation in linear errors-in-variables with unknown error distribution. Biometrika, 107(4), 841-856. [More Information]
2019
- Wallmark, Z., Frank, R., Nghiem, L. (2019). Creating novel timbres from Adjectives: An exploratory study using FM Synthesis. Psychomusicology, 29(4), 188-199. [More Information]
- Nghiem, L., Potgieter, C. (2019). Simulation-selection-extrapolation: Estimation in high-dimensional errors-in-variables models. Biometrics, 75(4), 1133-1144. [More Information]
2018
- Nghiem, L., Potgieter, C. (2018). Density estimation in the presence of heteroscedastic measurement error of unknown type using phase function deconvolution. Statistics in Medicine, 37(25), 3679-3692. [More Information]
Selected Grants
2023
- Methodologies for complex datasets, Nghiem L, Faculty of Science/Faculty Startup Scheme