Data-driven multinomial random forest: a new random forest variant with strong consistency [PDF]
Journal of Big DataIn this paper, we modify the proof methods of some previously weakly consistent variants of random forest into strongly consistent proof methods, and improve the data utilization of these variants in order to obtain better theoretical properties and ...
JunHao Chen, XueLi Wang, Fei Lei
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Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds. [PDF]
Ann Inst Stat Math, 2012 Bhattacharya A, Dunson DB.
europepmc +2 more sources
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2022 In this work, we revisit the weak-to-strong consistency framework, popularized by FixMatch from semi-supervised classification, where the prediction of a weakly perturbed image serves as supervision for its strongly perturbed version.
Lihe Yang +4 more
semanticscholar +1 more source
Statistical inference for nonergodic weighted fractional Vasicek models
Modern Stochastics: Theory and Applications, 2021 A problem of drift parameter estimation is studied for a nonergodic weighted fractional Vasicek model defined as $d{X_{t}}=\theta (\mu +{X_{t}})dt+d{B_{t}^{a,b}}$, $t\ge 0$, with unknown parameters $\theta >0$, $\mu \in \mathbb{R}$ and $\alpha :=\theta ...
Khalifa Es-Sebaiy +2 more
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Regression Estimation with Errors in the Variables via the Laplace Transform
Axioms, 2023 This paper considers nonparametric regression estimation with errors in the variables. It is a standard assumption that the characteristic function of the covariate error does not vanish on the real line. This assumption is rather strong.
Huijun Guo, Qingqun Bai
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Strong Consistency of Spectral Clustering for Stochastic Block Models [PDF]
IEEE Transactions on Information Theory, 2017 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).
Liangjun Su, Wuyi Wang, Yichong Zhang
semanticscholar +1 more source
Support of Strong Consistency on Fog Applications [PDF]
Proceedings of the 6th Workshop on Principles and Practice of Consistency for Distributed Data, 2019 Providing scalability for mobile distributed applications often leads the applications to compromise their consistency requirements. However, some of these applications depend on strong consistency to guarantee that one consistent state is observed by all participants over (some of) the shared objects of the application. While deploying the application
Lima, Diogo +2 more
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A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods
Stats, 2020 The purpose of this note is to introduce and investigate the nonparametric estimation of the conditional mode using wavelet methods. We propose a new linear wavelet estimator for this problem.
Salim Bouzebda, Christophe Chesneau
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On Consistency of the Nearest Neighbor Estimator of the Density Function for m-AANA Samples
Mathematics, 2023 In this paper, by establishing a Bernstein inequality for m-asymptotically almost negatively associated random variables, some results on consistency for the nearest neighbor estimator of the density function are further established.
Xin Liu, Yi Wu, Wei Wang, Yong Zhu
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Parameter estimation in mixed fractional stochastic heat equation
Modern Stochastics: Theory and Applications, 2023 The paper is devoted to a stochastic heat equation with a mixed fractional Brownian noise. We investigate the covariance structure, stationarity, upper bounds and asymptotic behavior of the solution.
Diana Avetisian, Kostiantyn Ralchenko
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