Bayesian taut splines for estimating the number of modes

Author:

Chacón José E.,Fernández Serrano Javier

Funder

Ministerio de Ciencia e Innovación

España Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Reference48 articles.

1. Assessing simplifying hypotheses in density estimation;Ameijeiras-Alonso,2017

2. Mode testing, critical bandwidth and excess mass;Ameijeiras-Alonso;Test,2018

3. Multimode: an R package for mode assessment;Ameijeiras-Alonso;J. Stat. Softw.,2021

4. Accurate algorithms for identifying the median ranking when dealing with weak and partial rankings under the Kemeny axiomatic approach;Amodio;Eur. J. Oper. Res.,2016

5. Arias-Castro, E., Jiang, H., 2022. Fitting a multi-modal density by dynamic programming. ArXiv preprint.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bayesian taut splines for estimating the number of modes;Computational Statistics & Data Analysis;2024-08

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