Optimal quantization applied to sliced inverse regression
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Publication:645618
DOI10.1016/j.jspi.2011.08.006zbMath1231.62059arXiv1101.2121OpenAlexW2964108700MaRDI QIDQ645618
Jérôme Saracco, Romain Azaïs, Anne Gégout-Petit
Publication date: 10 November 2011
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1101.2121
Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20)
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Cites Work
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- Optimal quantization methods for nonlinear filtering with discrete-time observations
- Sliced inverse regression in reference curves estimation
- Slicing regression: A link-free regression method
- A space quantization method for numerical integration
- Asymptotics of optimal quantizers for some scalar distributions
- Numerical method for optimal stopping of piecewise deterministic Markov processes
- Foundations of quantization for probability distributions
- Principal Hessian Directions Revisited
- Optimal quadratic quantization for numerics: the Gaussian case
- Save: a method for dimension reduction and graphics in regression
- AN OPTIMAL MARKOVIAN QUANTIZATION ALGORITHM FOR MULTI-DIMENSIONAL STOCHASTIC CONTROL PROBLEMS
- POOLED SLICING METHODS VERSUS SLICING METHODS
- A QUANTIZATION TREE METHOD FOR PRICING AND HEDGING MULTIDIMENSIONAL AMERICAN OPTIONS
- Asymptotic quantizing error for unbounded random variables (Corresp.)