Statistical inference and visualization in scale-space using local likelihood

DOI10.1016/j.csda.2012.06.023zbMath1365.62164OpenAlexW2143772669MaRDI QIDQ2359488

Jib Huh, Cheol-Woo Park

Publication date: 29 June 2017

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.06.023

zbMATH Keywords

generalized linear modelsstatistical significancelocal likelihoodscale-spacelocal polynomial smoothing

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Generalized linear models (logistic models) (62J12) Graphical methods in statistics (62A09)

Related Items (6)

Nonparametric estimation of a log-variance function in scale-space ⋮ Statistical Scale Space Methods ⋮ Theoretical investigation of an exploratory approach for log-density in scale-space ⋮ An exploratory data analysis in scale-space for interval-valued data ⋮ SiZer inference for generalized varying coefficient models ⋮ Nonparametric estimation of single-index models in scale-space

Uses Software

• SemiPar
• SiZer

Cites Work

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• SiZer analysis for the comparison of time series
• A visual display device for significant features in complicated signals
• Bayesian multiscale feature detection of log-spectral densities
• Detection of a change point based on local-likelihood
• Bayesian multiscale analysis for time series data
• Sizer analysis for the comparison of regression curves
• Likelihood-based local polynomial fitting for single-index models
• Scale space view of curve estimation.
• Sizer for time series: a new approach to the analysis of trends
• Dependent SiZer: Goodness-of-Fit Tests for Time Series Models
• Generalized Partially Linear Single-Index Models
• Semiparametric Regression
• SiZer for Exploration of Structures in Curves
• Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
• SiZer for jump detection
• Bayesian analysis of features in a scatter plot with dependent observations and errors in predictors
• Convergence Criteria for Multiparameter Stochastic Processes and Some Applications
• Advanced Distribution Theory for SiZer

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