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- Hsin-Cheng Huang
- 1999

Suppose that a random process Z(s; t), indexed in space and time, has a spatio-temporal stationary covariance C(h; u), where h 2 IR d (d 1) is a spatial lag and u 2 IR is a temporal lag. Separable spatio-temporal covariances have the property that they can be written as a product of a purely spatial covariance and a purely temporal covariance. Their ease of… (More)

- Xiaotong Shen, Hsin-Cheng Huang
- Journal of the American Statistical Association
- 2010

Extracting grouping structure or identifying homogenous subgroups of predictors in regression is crucial for high-dimensional data analysis. A low-dimensional structure in particular-grouping, when captured in a regression model, enables to enhance predictive performance and to facilitate a model's interpretability Grouping pursuit extracts homogenous… (More)

Nonparametric hypothesis testing for a spatial signal can involve a large number of hypotheses. For instance, two satellite images of the same scene, taken before and after an event, could be used to test a hypothesis that the event has no environmental impact. This is equivalent to testing that the mean di erence of \after before" is zero at each of the… (More)

Partially ordered Markov models (POMMs) are Markov random elds (MRFs) with neighborhood structures derivable from an associated partially ordered set. The most attractive feature of POMMs is that their joint distributions can be written in closed and product form. Therefore, simulation and maximum likelihood estimation for the models is quite… (More)

Recently, a class of multiscale tree-structured models was introduced in terms of scale-recursive dynamics deened on trees. The main advantage of these models is their association with a fast, recursive, Kalman-lter prediction algorithm. In this article, we propose a more general class of multiscale graphical models over acyclic directed graphs, for use in… (More)

- Xiaotong Shen, Hsin-Cheng Huang, Jimmy Ye
- Technometrics
- 2004

- Xiaotong Shen, Hsin-Cheng Huang, Wei Pan
- Biometrika
- 2012

In this article, we propose a regression method for simultaneous supervised clustering and feature selection over a given undirected graph, where homogeneous groups or clusters are estimated as well as informative predictors, with each predictor corresponding to one node in the graph and a connecting path indicating a priori possible grouping among the… (More)

- Chih-Hao Chang, Hsin-Cheng Huang, Ching-Kang Ing
- 2014

Information criteria, such as Akaike’s information criterion and Bayesian information criterion are often applied in model selection. However, their asymptotic behaviors for selecting geostatistical regression models have not been well studied particularly under the fixed domain asymptotic framework with more and more data observed in a bounded fixed… (More)

- Song-Lih Huang, Wen-Ling Cheng, Chung-Te Lee, Hsin-Cheng Huang, Chang-Chuan Chan
- Journal of toxicology and environmental health…
- 2002

Ambient particles may cause pulmonary inflammation with ensuing morbidity. Particle-induced production of proinflammatory cytokines in vitro has been used as an indicator of particle toxicity. To identify particle components that were related to particle toxicity, Andersen dichotomous impactors were used to collect ambient fine (PM(2.5)) and coarse… (More)

Abstract: In many atmospheric and earth sciences, it is of interest to identify dominant spatial patterns of variation based on data observed at p locations with n repeated measurements. While principal component analysis (PCA) is commonly applied to find the patterns, the eigenimages produced from PCA may be noisy or exhibit patterns that are not… (More)