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Distribution‐free prediction bands for non‐parametric regression
by
Lei, Jing
, Wasserman, Larry
in
Algorithms
/ Approximation
/ Conformal prediction
/ Data analysis
/ Distribution
/ Estimation
/ Finite sample property
/ Forecasts
/ Kernel density
/ Oracles
/ prediction
/ Prediction bands
/ Predictions
/ probability distribution
/ Samples
/ Statistical analysis
/ Statistics
/ Studies
2014
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Distribution‐free prediction bands for non‐parametric regression
by
Lei, Jing
, Wasserman, Larry
in
Algorithms
/ Approximation
/ Conformal prediction
/ Data analysis
/ Distribution
/ Estimation
/ Finite sample property
/ Forecasts
/ Kernel density
/ Oracles
/ prediction
/ Prediction bands
/ Predictions
/ probability distribution
/ Samples
/ Statistical analysis
/ Statistics
/ Studies
2014
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Do you wish to request the book?
Distribution‐free prediction bands for non‐parametric regression
by
Lei, Jing
, Wasserman, Larry
in
Algorithms
/ Approximation
/ Conformal prediction
/ Data analysis
/ Distribution
/ Estimation
/ Finite sample property
/ Forecasts
/ Kernel density
/ Oracles
/ prediction
/ Prediction bands
/ Predictions
/ probability distribution
/ Samples
/ Statistical analysis
/ Statistics
/ Studies
2014
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Distribution‐free prediction bands for non‐parametric regression
Journal Article
Distribution‐free prediction bands for non‐parametric regression
2014
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Overview
We study distribution‐free, non‐parametric prediction bands with a focus on their finite sample behaviour. First we investigate and develop different notions of finite sample coverage guarantees. Then we give a new prediction band by combining the idea of ‘conformal prediction’ with non‐parametric conditional density estimation. The proposed estimator, called COPS (conformal optimized prediction set), always has a finite sample guarantee. Under regularity conditions the estimator converges to an oracle band at a minimax optimal rate. A fast approximation algorithm and a data‐driven method for selecting the bandwidth are developed. The method is illustrated in simulated and real data examples.
Publisher
Blackwell Publishers,Blackwell Publishing Ltd,John Wiley & Sons Ltd,Oxford University Press
Subject
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