Uniform strong consistency of histogram density estimation for dependent process
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2015.1026994
Abstract: ABSTRACT Histogram density estimator is very intuitive and easy to compute and has been widely adopted. Especially in today's big data environment, people pay more attention to the computational cost and are more willing to… read more here.
Keywords: histogram; histogram density; uniform strong; strong consistency ... See more keywords
Strong consistency of non parametric kernel regression estimator for strong mixing samples
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1239110
Abstract: ABSTRACT For α-mixing samples, we study Priestley–Chao kernel estimator for non parametric regression model. By using the moment inequality and the exponential inequality, the strong consistency and the uniformly strong consistency of the estimator are… read more here.
Keywords: strong consistency; mixing samples; estimator; non parametric ... See more keywords
A note on the strong consistency of nonparametric estimation of Shannon entropy in length-biased sampling
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1737123
Abstract: Abstract In this article, we propose an estimator of Shannon entropy based on kernel estimators of density function in length-biased setting. The strong consistency of the proposed estimators is established. In addition, some simulations are… read more here.
Keywords: strong consistency; shannon entropy; length biased;
Weak-to-Strong Consistency Learning for Semisupervised Image Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3272552
Abstract: Supervised remote sensing (RS) image segmentation has achieved remarkable success with large amounts of manually labeled data, which may be difficult to acquire in some practical application scenarios. Semisupervised RS image segmentation can efficiently utilize… read more here.
Keywords: weak strong; image segmentation; strong consistency; semisupervised image ... See more keywords
Strong Consistency of Spectral Clustering for Stochastic Block Models
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DOI: 10.1109/tit.2019.2934157
Abstract: In this paper we prove the strong consistency of several methods based on the spectral clustering techniques that are widely used to study the community detection problem in stochastic block models (SBMs). We show that… read more here.
Keywords: spectral clustering; block; strong consistency; block models ... See more keywords
Proofs of Writing for Robust Storage
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2019.2919285
Abstract: Existing Byzantine fault tolerant (BFT) storage solutions that achieve strong consistency and high availability, are costly compared to solutions that tolerate simple crashes. This cost is one of the main obstacles in deploying BFT storage… read more here.
Keywords: strong consistency; bft storage; storage; robust storage ... See more keywords
Strong consistency rates for the estimators in a heteroscedastic EV model with missing responses
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Inequalities and Applications"
DOI: 10.1186/s13660-020-02411-y
Abstract: This article is concerned with the semi-parametric error-in-variables (EV) model with missing responses: y i = ξ i β + g ( t i ) + ϵ i $y_{i}= \xi _{i}\beta +g(t_{i})+\epsilon _{i}$ , x… read more here.
Keywords: model missing; strong consistency; consistency rates; missing responses ... See more keywords