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Fused spatial point process intensity estimation with varying coefficients on complex constrained domains

https://doi.org/10.1016/j.spasta.2021.100547

Yin, Lihao; Sang, Huiyan (December 2021, Spatial Statistics)

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Row-clustering of a Point Process-valued Matrix

Yin, Lihao; Xu, Ganggang; Sang, Huiyan; Guan, Yongtao (December 2021, Advances in neural information processing systems)

Structured point process data harvested from various platforms poses new challenges to the machine learning community. To cluster repeatedly observed marked point processes, we propose a novel mixture model of multi-level marked point processes for identifying potential heterogeneity in the observed data. Specifically, we study a matrix whose entries are marked log-Gaussian Cox processes and cluster rows of such a matrix. An efficient semi-parametric Expectation-Solution (ES) algorithm combined with functional principal component analysis (FPCA) of point processes is proposed for model estimation. The effectiveness of the proposed framework is demonstrated through simulation studies and real data analyses.
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Risk based arsenic rational sampling design for public and environmental health management

https://doi.org/10.1016/j.chemolab.2021.104274

Yin, Lihao; Sang, Huiyan; Schnoebelen, Douglas J.; Wels, Brian; Simmons, Don; Mattson, Alyssa; Schueller, Michael; Pentella, Michael; Dai, Susie Y. (April 2021, Chemometrics and Intelligent Laboratory Systems)
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