Software

T.-S. T. Chan and A. Gibberd, Feasible Model-Based Principal Component Analysis: Joint Estimation of Rank and Error Covariance Matrix, 2025. [Online]. Available: https://doi.org/10.1016/j.csda.2024.108042

L. Mosley, T.-S. Chan, and A. Gibberd, sparseDFM: Estimate Dynamic Factor Models with Sparse Loadings, 2023. [Online]. Available: https://cran.r-project.org/package=sparseDFM

T.-S. Chan, Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints, 2022. [Online]. Available: https://github.com/takshingchan/icmla2022

P. Błaszczyk, D. Salvi, T.-S. Chan, J. Harvey, D. Gurnari, Y. Wu, A. Farhat, and N. Hellmer, Oxford COVID-19 (OxCOVID19) Data Fetcher Repository, 2021. [Online]. Available: https://github.com/covid19db/fetchers-python

T.-S. Chan, Ball Mapper, 2019. [Online]. Available: https://github.com/takshingchan/ballmapper

T.-S. Chan, Multidimensional Dictionary Learning, 2017. [Online]. Available: https://github.com/takshingchan/ktsvd

T.-S. Chan, Reliable Ear Identification Using 2-D Quadrature Filters, 2017. [Online]. Available: https://github.com/takshingchan/prl2012

T.-S. Chan and Y.-H. Yang, Informed Group-Sparse Representation for Singing Voice Separation, 2017. [Online]. Available: https://github.com/takshingchan/spl2017

T.-S. Chan and Y.-H. Yang, Polar n-Complex and n-Bicomplex Singular Value Decomposition and Principal Component Pursuit, 2016. [Online]. Available: https://github.com/takshingchan/tsp2016

T.-S. Chan and Y.-H. Yang, Complex and Quaternionic Principal Component Pursuit, 2016. [Online]. Available: https://github.com/takshingchan/spl2016

B. Mitchinson, T.-S. Chan, J. Chambers, M. Pearson, M. Humphries, C. Fox, K. Gurney, and T. J. Prescott, BRAHMS, 2010. [Online]. Available: https://brahms.sourceforge.net

T.-S. Chan, A Cognitive Information Theory of Music, 2008. [Online]. Available: https://github.com/takshingchan/citm