Other courese

• CMU, Data over Space and Time (36-467/667)
• Stanford, Stats 253: Analysis of Spatial and Temporal Data
• Duke, Sta 444/644: Spatio-Temporal Modeling
• UPenn, STAT 956: Financial Time Series and Computational Statistics

Readings for CIVE 648

• G. Atluri, A. Karpatne, and V. Kumar, “Spatio-temporal data mining: A survey of problems and methods,” ACM Computing Surveys (CSUR), vol. 51, no. 4, p. 83, 2018. link

• Y. Liu, “Scalable multivariate time-series models for climate informatics,” Computing in Science & Engineering, vol. 17, no. 6, pp. 19-26, 2015. link

• H.-F. Yu, N. Rao, and I. S. Dhillon, “Temporal regularized matrix factorization for high-dimensional time series prediction,” in Advances in neural information processing systems, 2016, pp. 847-855. link