| Penalized maximum likelihood estimation and variable selection in geostatistics T Chu, J Zhu, H Wang | 63 | 2011 |
| On estimation and selection of autologistic regression models via penalized pseudolikelihood R Fu, AL Thurman, T Chu, MM Steen-Adams, J Zhu Journal of agricultural, biological, and environmental statistics 18, 429-449, 2013 | 15 | 2013 |
| A geostatistical analysis of multiscale metallicity variations in galaxies–I. Introduction and comparison of high-resolution metallicity maps to an analytical metal transport model B Metha, M Trenti, T Chu Monthly Notices of the Royal Astronomical Society 508 (1), 489-507, 2021 | 14 | 2021 |
| A geostatistical analysis of multiscale metallicity variations in galaxies – II. Predicting the metallicities of H ii and diffuse ionized gas regions via universal kriging B Metha, M Trenti, T Chu, A Battisti Monthly Notices of the Royal Astronomical Society 514 (3), 4465-4488, 2022 | 11 | 2022 |
| On semiparametric inference of geostatistical models via local Karhunen–Loève expansion T Chu, H Wang, J Zhu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014 | 9 | 2014 |
| Static and roving sensor data fusion for spatio-temporal hazard mapping with application to occupational exposure assessment G Ludwig, T Chu, J Zhu, H Wang, K Koehler The annals of applied statistics 11 (1), 139, 2017 | 8 | 2017 |
| Uncertainty quantification in depth estimation via constrained ordinal regression D Hu, L Peng, T Chu, X Zhang, Y Mao, H Bondell, M Gong European Conference on Computer Vision, 237-256, 2022 | 3 | 2022 |
| Semiparametric modeling with nonseparable and nonstationary spatio-temporal covariance functions and its inference T Chu, J Zhu, H Wang Statistica Sinica 29 (3), 1233-1252, 2019 | 3 | 2019 |
| Frequency and severity estimation of cyber attacks using spatial clustering analysis B Ma, T Chu, Z Jin Insurance: Mathematics and Economics 106, 33-45, 2022 | 2 | 2022 |
| Spatio-temporal expanding distance asymptotic framework for locally stationary processes T Chu, J Liu, J Zhu, H Wang Sankhya A, 1-25, 2020 | 2 | 2020 |
| A geostatistical analysis of multiscale metallicity variations in galaxies–III. Spatial resolution and data quality limits B Metha, M Trenti, A Battisti, T Chu Monthly Notices of the Royal Astronomical Society, stae491, 2024 | 1 | 2024 |
| MIXED DOMAIN ASYMPTOTICS FOR GEOSTATISTICAL PROCESSES. T Chu Statistica Sinica 33 (1), 2023 | 1 | 2023 |
| Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions T Chu, Y Guan, R Waagepetersen, G Xu Spatial statistics 50, 100605, 2022 | 1 | 2022 |
| A generalized measure of uncertainty in geostatistical model selection CS Chen, J Zhu, T Chu Statistica Sinica, 203-228, 2018 | 1 | 2018 |
| Variability analysis of monthly precipitation vector time series in Australia by a new spatiotemporal entropy statistic B Hines, G Qian, T Chu, A Tordesillas Environmental Research: Climate 2 (1), 011002, 2023 | | 2023 |
| Explainable Spatio-Temporal Forecasting with Shape Functions X Cao, V Vo, T Chu, G Qian, M Gong | | 2022 |
| Large spatial data modeling and analysis: A Krylov subspace approach J Liu, T Chu, J Zhu, H Wang Scandinavian Journal of Statistics 49 (3), 1115-1143, 2022 | | 2022 |
| Semiparametric method and theory for continuously indexed spatio-temporal processes J Liu, T Chu, J Zhu, H Wang Journal of Multivariate Analysis 183, 104735, 2021 | | 2021 |
| Erratum to: On Estimation and Selection of Autologistic Regression Models via Penalized Pseudolikelihood R Fu, AL Thurman, T Chu, MM Steen-adams, J Zhu Journal of Agricultural, Biological and Environmental Statistics 22, 413-419, 2017 | | 2017 |
| Parametric and semiparametric model estimation and selection in geostatistics T Chu Colorado State University, 2012 | | 2012 |
