Fused density estimation: theory and methods-Reference-Cited by-同舟云学术

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Fused density estimation: theory and methods

Published:2019-09-18 Issue:5 Volume:81 Page:839-860
ISSN:1369-7412
Container-title:Journal of the Royal Statistical Society: Series B (Statistical Methodology)
language:en
Short-container-title:J. R. Stat. Soc. B

Author:

Bassett Robert¹,Sharpnack James²

Affiliation:

1. Naval Postgraduate School; Monterey USA

2. University of California at Davis; USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssb.12338/fullpdf

Reference50 articles.

1. Efficient implementations of the generalized lasso dual path algorithm;Arnold;J. Computnl Graph. Statist.,2016

2. Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems;Beck;IEEE Trans. Im. Process.,2009

3. From Model Selection to Adaptive Estimation

4. How many bins should be put in a regular histogram?;Birgé;Eur. Ser. Appl. Indust. Math. Probab. Statist.,2006

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1. Exponential family trend filtering on lattices;Electronic Journal of Statistics;2024-01-01

2. Intensity estimation on geometric networks with penalized splines;The Annals of Applied Statistics;2022-06-01

3. Fused spatial point process intensity estimation with varying coefficients on complex constrained domains;Spatial Statistics;2021-12

4. Analysing point patterns on networks — A review;Spatial Statistics;2021-04

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