Statistical inference and visualization in scale-space for spatially dependent images

DOI10.1016/J.JKSS.2011.07.006zbMath1296.62136OpenAlexW1966038678MaRDI QIDQ744746

Mikyoung Jun, Amy Vaughan, Cheol-Woo Park

Publication date: 26 September 2014

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2011.07.006

zbMATH Keywords

kernel smoothinggoodness-of-fit teststatistical significancespatial correlationscale-spaceimage data analysis

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Applications of statistics to environmental and related topics (62P12) Image analysis in multivariate analysis (62H35)

Related Items (5)

Statistical Scale Space Methods ⋮ Theoretical investigation of an exploratory approach for log-density in scale-space ⋮ Discussion ⋮ An exploratory data analysis in scale-space for interval-valued data ⋮ Nonparametric estimation of single-index models in scale-space

Uses Software

• KernSmooth
• EFDR
• SiZer

Cites Work

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• SiZer analysis for the comparison of time series
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• Spatial Analysis to Quantify Numerical Model Bias and Dependence
• Dependent SiZer: Goodness-of-Fit Tests for Time Series Models
• On Parameter Estimation and Goodness-of-Fit Testing for Spatial Point Patterns
• Nonparametric Hypothesis Testing for a Spatial Signal
• SiZer for Exploration of Structures in Curves
• Bayesian analysis of features in a scatter plot with dependent observations and errors in predictors

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