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Unified principal component analysis for sparse and dense functional data under spatial dependency
We consider spatially dependent functional data collected under a geostatistics setting,
where locations are sampled from a spatial point process. The functional response is the …
where locations are sampled from a spatial point process. The functional response is the …
Modeling and Regionalization of China's PM2.5 Using Spatial-Functional Mixture Models
Severe air pollution affects billions of people around the world, particularly in develo**
countries such as China. Effective emission control policies rely primarily on a proper …
countries such as China. Effective emission control policies rely primarily on a proper …
Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data
Identifying the underlying trajectory pattern in the spatial‐temporal data analysis is a
fundamental but challenging task. In this paper, we study the problem of simultaneously …
fundamental but challenging task. In this paper, we study the problem of simultaneously …
Topics in functional data analysis and machine learning predictive inference
H Zhang - 2019 - search.proquest.com
This dissertation is composed of three research projects focused on functional data analysis
and machine learning predictive inference. The first project deals with the covariance …
and machine learning predictive inference. The first project deals with the covariance …