Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density
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Publication:1615104
DOI10.1016/j.csda.2013.05.006zbMath1471.62182OpenAlexW2069288724WikidataQ58288595 ScholiaQ58288595MaRDI QIDQ1615104
Publication date: 2 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://eprints.soton.ac.uk/352352/1/Bayesian%2520bandwidth%2520estimation%2520for%2520a%2520nonparametric%2520functional%2520regression%2520model%2520with%2520unknown%2520error%2520density.pdf
Markov chain Monte Carlokernel density estimationspectroscopyfunctional Nadaraya-Watson estimatormixture error density
Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Functional data analysis (62R10)
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Cites Work
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- Functional linear regression analysis for longitudinal data
- Regression when both response and predictor are functions
- Nonparametric time series forecasting with dynamic updating
- Analysis of time of occurrence of earthquakes: A functional data approach
- Nonparametric estimation of the density of regression errors
- \(\sqrt{n}\)-uniformly consistent density estimation in nonparametric regression models
- Distance-based local linear regression for functional predictors
- Local smoothing regression with functional data
- Diagnostics for functional regression via residual processes
- Penalized solutions to functional regression problems
- Changes in atmospheric radiation from the statistical point of view
- Robust forecasting of mortality and fertility rates: a functional data approach
- Functional semiparametric partially linear model with autoregressive errors
- Locally adaptive hazard smoothing
- On Kullback-Leibler loss and density estimation
- A simple root \(n\) bandwidth selector
- Exact mean integrated squared error
- Weak and strong uniform consistency of a kernel error density estimator in nonparametric regression
- The functional nonparametric model and applications to spectrometric data
- Consistency of error density and distribution function estimators in nonparametric regression.
- Penalized discriminant analysis
- A note on residual-based empirical likelihood kernel density estimation
- Kernel regression with functional response
- Estimation of the density of regression errors
- Generalized additive models for functional data
- A goodness-of-fit test of the errors in nonlinear autoregressive time series models
- Functional data analysis.
- Semi-functional partial linear regression
- Nonparametric functional data analysis. Theory and practice.
- Forecasting functional time series
- Density estimation and comparison with a penalized mixture approach
- A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation
- Nonparametric regression for functional data: automatic smoothing parameter selection
- BUGS for a Bayesian analysis of stochastic volatility models
- Autoregressive Forecasting of Some Functional Climatic Variations
- Non-parametric Estimation of the Residual Distribution
- Symmetric maximum kernel likelihood estimation
- On the Validity of the Bootstrap in Non-Parametric Functional Regression
- Simulation Run Length Control in the Presence of an Initial Transient
- Locally modelled regression and functional data
- k-Nearest Neighbour method in functional nonparametric regression
- Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models
- Using simulation methods for bayesian econometric models: inference, development,and communication
- Testing symmetry of an unknown density function by kernel method
- Practical Bayesian Density Estimation Using Mixtures of Normals
- The historical functional linear model
- Estimation of hyperbolic diffusion using the Markov chain Monte Carlo method
- A Statistical View of Some Chemometrics Regression Tools
- Testing symmetry in nonparametric regression models
- Functional quadratic regression
- Functional Additive Models
- Functional Data Analysis for Sparse Longitudinal Data
- A Stochastic Approximation Method
