Fast and flexible methods for monotone polynomial fitting
From MaRDI portal
Publication:5221508
DOI10.1080/00949655.2016.1139582OpenAlexW2346824207MaRDI QIDQ5221508
Samuel Müller, Kevin Murray, Turlach, Berwin A.
Publication date: 1 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2016.1139582
bootstrapconfidence bandsshape constraintsmonotone regressionmonotone polynomialssemi-compact interval
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Cites Work
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- Inference using shape-restricted regression splines
- A simple nonparametric estimator of a strictly monotone regression function
- Revisiting fitting monotone polynomials to data
- A simple bootstrap method for constructing nonparametric confidence bands for functions
- Semiparametric regression with shape-constrained penalized splines
- A filtered polynomial approach to density estimation
- Estimating a smooth monotone regression function
- A general projection framework for constrained smoothing.
- Optimal confidence bands for shape-restricted curves
- Nonparametric kernel regression subject to monotonicity constraints
- The jackknife and bootstrap
- Fitting monotonic polynomials to data
- Shape constrained smoothing using smoothing splines
- Bootstrap Model Selection
- Constrained Statistical Inference
- Constrained penalized splines
- Monotone Nonparametric Regression and Confidence Intervals
- Bootstrap Prediction Intervals for Regression
- APPROXIMATION OF MONOTONE FUNCTIONS BY MONOTONE POLYNOMIALS
- Nonlinear least squares — the Levenberg algorithm revisited
- Estimating Smooth Monotone Functions
- Bootstrap Sample Size in Nonregular Cases
- A comparative study of monotone nonparametric kernel estimates
- Growth Curve Modeling
- Outlier Robust Model Selection in Linear Regression
- The bootstrap and Edgeworth expansion