Search Results - "Hsin-Cheng Huang"

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  1. 1

    Spatially adaptive calibrations of airbox PM2.5 data by Tzeng, ShengLi, Lai, Chi‐Wei, Huang, HsinCheng

    Published in Biometrics (01-12-2023)
    “…The Taiwan air quality monitoring network (TAQMN) and the AirBox network both monitor PM2.5 in Taiwan. The TAQMN, managed by Taiwan's Environmental Protection…”
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    Journal Article
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    False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data by Huang, Hsin-Cheng, Cressie, Noel, Zammit-Mangion, Andrew, Huang, Guowen

    “…There are a number of ways to test for the absence/presence of a spatial signal in a completely observed fine-resolution image. One of these is a powerful…”
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    Grouping Pursuit Through a Regularization Solution Surface by Shen, Xiaotong, Huang, Hsin-Cheng

    “…Extracting grouping structure or identifying homogenous subgroups of predictors in regression is crucial for high-dimensional data analysis. A low-dimensional…”
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  5. 5

    Selection of linear mixed‐effects models for clustered data by Chang, Chih‐Hao, Huang, HsinCheng, Ing, Ching‐Kang

    Published in Scandinavian journal of statistics (01-06-2023)
    “…We consider model selection for linear mixed‐effects models with clustered structure, where conditional Kullback–Leibler (CKL) loss is applied to measure the…”
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  6. 6

    Assessing Spatial Stationarity and Segmenting Spatial Processes into Stationary Components by Tzeng, ShengLi, Chen, Bo-Yu, Huang, Hsin-Cheng

    “…In this research, we propose a novel technique for visualizing nonstationarity in geostatistics, particularly when confronted with a single realization of data…”
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  7. 7

    Matrix Autoregressive Spatio-Temporal Models by Hsu, Nan-Jung, Huang, Hsin-Cheng, Tsay, Ruey S.

    “…Matrix-variate time series are now common in economic, medical, environmental, and atmospheric sciences, typically associated with large matrix dimensions. We…”
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    Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid by Yan, Yuan, Huang, Hsin-Cheng, Genton, Marc G.

    “…Motivated by the need to analyze readily available data collected in space and time, especially in environmental sciences, we propose a parsimonious…”
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    Inference of random effects for linear mixed-effects models with a fixed number of clusters by Chang, Chih-Hao, Huang, Hsin-Cheng, Ing, Ching-Kang

    “…We consider a linear mixed-effects model with a clustered structure, where the parameters are estimated using maximum likelihood (ML) based on possibly…”
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  10. 10

    Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions by Cressie, Noel, Huang, Hsin-Cheng

    “…Suppose that a random process Z(s;t), indexed in space and time, has spatio-temporal stationary covariance C(h;u), where h ∈ ℝ d (d ≥ 1) is a spatial lag and u…”
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    Swapping the Positions in a Cross-Strand Lateral Ion-Pairing Interaction between Ammonium- and Carboxylate-Containing Residues in a β-Hairpin by Huang, Cheng-Hsin, Wong, Tong Wai, Yu, Chen-Hsu, Chang, Jing-Yuan, Huang, Shing-Jong, Huang, Shou-Ling, Cheng, Richard P

    Published in Molecules (Basel, Switzerland) (03-03-2021)
    “…Cross-strand lateral ion-pairing interactions are important for antiparallel β-sheet stability. Statistical studies suggested that swapping the position of…”
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  12. 12

    Testing Independence Between Two Spatial Random Fields by Huang, Shih-Hao, Huang, Hsin-Cheng, Tsay, Ruey S., Pan, Guangming

    “…In this article, we consider testing independence between two spatial Gaussian random fields evaluated, respectively, at p and q locations with sample size n ,…”
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  13. 13

    Some enhancements to DeepKriging by Lin, Ding‐Chih, Huang, HsinCheng, Tzeng, ShengLi

    Published in Stat (International Statistical Institute) (01-01-2023)
    “…With an increased volume of spatial data, conventional spatial prediction methods have encountered significant challenges in handling complex data structures…”
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  14. 14

    On selection of spatial linear models for lattice data by Zhu, Jun, Huang, Hsin-Cheng, Reyes, Perla E

    “…Spatial linear models are popular for the analysis of data on a spatial lattice, but statistical techniques for selection of covariates and a neighbourhood…”
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    Regularized spatial maximum covariance analysis by Wang, Wen‐Ting, Huang, HsinCheng

    Published in Environmetrics (London, Ont.) (01-03-2018)
    “…In climate and atmospheric research, many phenomena involve more than one spatial processes covarying in space. To understand how one process is affected by…”
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  17. 17

    A G-Code Generator for Volumetric Models by Ueng, Shyh-Kuang, Huang, Hsuan-Kai, Huang, Hsin-Cheng

    Published in Applied sciences (01-09-2019)
    “…In layered manufacturing (LM), slicers are employed to convert input geometric models into G-codes. Conventional slicers accept only surface models as input…”
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    Layered manufacturing for medical imaging data by Ueng, Shyh-Kuang, Huang, Hsin-Cheng, Chou, Chieh-Shih, Huang, Hsuan-Kai

    Published in Advances in mechanical engineering (01-08-2019)
    “…Layered manufacturing techniques have been successfully employed to construct scanned objects from three-dimensional medical image data sets. The printed…”
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    Optimal Model Assessment, Selection, and Combination by Shen, Xiaotong, Huang, Hsin-Cheng

    “…Central to statistical theory and application is statistical modeling, which typically involves choosing a single model or combining a number of models of…”
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    Data Adaptive Median Filters for Signal and Image Denoising Using a Generalized SURE Criterion by Hsin-Cheng Huang, Lee, T.C.M.

    Published in IEEE signal processing letters (01-09-2006)
    “…Due to its effectiveness for removing heavy-tail noise and preserving abrupt structures hidden in noisy data, median filtering has long been a popular tool for…”
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