Wolfram Demonstrations Project
Didier A. Girard
Demonstrations 1 - 12 of 12
Estimating a Centered AR1 x AR1 Gaussian Field by Likelihood Maximization or GE-EV MatchingFitting a Powered Exponential Autocorrelation: Alternatives to Maximum Likelihood via Conjugate Gradient Linear SolversNonparametric Curve Estimation by Kernel Smoothers under Correlated ErrorsEstimators of a Noisy Centered Ornstein-Uhlenbeck Process and Its Noise VarianceNonparametric Density Estimation: Robust Cross-Validation Bandwidth Selection via Randomized Choices
Estimating a Centered AR1 x AR1 Gaussian Field by Likelihood Maximization or GE-EV Matching
New this month
Fitting a Powered Exponential Autocorrelation: Alternatives to Maximum Likelihood via Conjugate Gradient Linear Solvers
Nonparametric Curve Estimation by Kernel Smoothers under Correlated Errors
Estimators of a Noisy Centered Ornstein-Uhlenbeck Process and Its Noise Variance
Nonparametric Density Estimation: Robust Cross-Validation Bandwidth Selection via Randomized Choices
Nonparametric Additive Modeling by Smoothing Splines: Robust Unbiased-Risk-Estimate Selector and a Nonisotropic-Smoothing ImprovementNonparametric Curve Estimation by Smoothing Splines: Unbiased-Risk-Estimate Selector and its Robust Version via Randomized ChoicesEstimating a Centered Ornstein-Uhlenbeck Process under Measurement ErrorsEstimating a Centered Matérn (1) Process: Three Alternatives to Maximum Likelihood via Conjugate Gradient Linear SolversThree Alternatives to the Likelihood Maximization for Estimating a Centered Matérn (3/2) Process
Nonparametric Additive Modeling by Smoothing Splines: Robust Unbiased-Risk-Estimate Selector and a Nonisotropic-Smoothing Improvement
Nonparametric Curve Estimation by Smoothing Splines: Unbiased-Risk-Estimate Selector and its Robust Version via Randomized Choices
Estimating a Centered Ornstein-Uhlenbeck Process under Measurement Errors
Estimating a Centered Matérn (1) Process: Three Alternatives to Maximum Likelihood via Conjugate Gradient Linear Solvers
Three Alternatives to the Likelihood Maximization for Estimating a Centered Matérn (3/2) Process
Nonparametric Regression and Kernel Smoothing: Confidence Regions for the L2-Optimal Curve EstimateNonparametric Curve Estimation by Kernel Smoothers: Efficiency of Unbiased Risk Estimate and GCV Selectors
Nonparametric Regression and Kernel Smoothing: Confidence Regions for the L2-Optimal Curve Estimate
Nonparametric Curve Estimation by Kernel Smoothers: Efficiency of Unbiased Risk Estimate and GCV Selectors

 
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