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Boosting computational effectiveness in big spatial flow data analysis with intelligent data reduction
Title
Boosting computational effectiveness in big spatial flow data analysis with intelligent data reduction
Author
Thill, Jean-Claude
Date Created
2020
Subjects--Topical
Data reduction, Statistics
Description
One of the enduring issues of spatial origin-destination (OD) flow data analysis is the computational inefficiency or even the impossibility to handle large datasets. Despite the recent advancements in high performance computing (HPC) and the read...
Characterization of Firebrands Generated from Selected Vegetative Fuels in Wildland Fires
Title
Characterization of Firebrands Generated from Selected Vegetative Fuels in Wildland Fires
Author
Bahrani, Babak
Date Created
2020
Subjects--Topical
Engineering, Statistics
Description
Wildland-Urban Interface (WUI) and Wildland fires cause damages to infrastructure and the environment, resulting in loss of life, property, and an increasing cost of mitigation. Firebrands are known as one of the leading fire spread mechanisms in ...
Independent Screening for Nonparametric Additive Cox Model
Title
Independent Screening for Nonparametric Additive Cox Model
Author
Yu, Sha
Date Created
2020
Subjects--Topical
Statistics
Description
Survival data with ultrahigh dimensional covariates are increasingly common recently due to the rapid development in technologies. It is challenging to model them using survival models in order to understand the association between covariate infor...
LOCAL SPATIAL QUANTILE ESTIMATION OF MULTIVARIATE FUNCTIONAL-COEFFICIENT REGRESSION MODELS
Title
LOCAL SPATIAL QUANTILE ESTIMATION OF MULTIVARIATE FUNCTIONAL-COEFFICIENT REGRESSION MODELS
Author
Zhou, Yetong
Date Created
2020
Subjects--Topical
Statistics
Description
Quantile regression (QR) has been widely studied in statistics and econometrics. However, there is no much work on nonlinear QR for vector time series. Therefore, we propose a local spatial QR method to estimate the functional-coefficient matrices...
THE SEMIPARAMETRIC MARK-SPECIFIC PROPORTIONAL HAZARDS MODEL FOR MULTIVARIATE MARKS VIA A SINGLE-INDEX
Title
THE SEMIPARAMETRIC MARK-SPECIFIC PROPORTIONAL HAZARDS MODEL FOR MULTIVARIATE MARKS VIA A SINGLE-INDEX
Author
Shao, Yuehan
Date Created
2020
Subjects--Topical
Statistics, Mathematics
Description
Competing risk analysis is commonly applied to time-to-event data with finitely many causes of failure. It alters the probability of the occurrence of an event of interest broken down by a specific cause. Motivated by the HIV vaccine efficacy tria...