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Weak consistency and strong paraconsistency [PDF]
tripleC: Communication, Capitalism & Critique, 2009 In a standard sense, consistency and paraconsistency are understood as, respectively, the absence of any contradiction and as the absence of the ECQ (“E contradictione quodlibet”) rule that allows us to conclude any well formed formula from any ...
Gemma Robles
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Bitcoin meets strong consistency [PDF]
Proceedings of the 17th International Conference on Distributed Computing and Networking, 2016 The Bitcoin system only provides eventual consistency. For everyday life, the time to confirm a Bitcoin transaction is prohibitively slow. In this paper we propose a new system, built on the Bitcoin blockchain, which enables strong consistency. Our system, PeerCensus, acts as a certification authority, manages peer identities in a peer-to-peer network,
Christian Decker 0002 +2 more
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A bounded consistency theorem for strong summabilities
International Journal of Mathematics and Mathematical Sciences, 1989 The study of R-type summability methods is continued in this paper by showing that two such methods are identical on the bounded portion of the strong summability field associated with the methods.
C. S. Chun, A. R. Freedman
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Strong Consistency of $K$-Means Clustering
Annals of Statistics, 1981 A random sample is divided into the $k$ clusters that minimise the within cluster sum of squares. Conditions are found that ensure the almost sure convergence, as the sample size increases, of the set of means of the $k$ clusters. The result is proved for a more general clustering criterion.
exaly +4 more sources
Diagnosing a Strong-Fault Model by Conflict and Consistency [PDF]
Sensors, 2018 The diagnosis method for a weak-fault model with only normal behaviors of each component has evolved over decades. However, many systems now demand a strong-fault models, the fault modes of which have specific behaviors as well.
Wenfeng Zhang +4 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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On the strong consistency of asymptotic -estimators [PDF]
Journal of Statistical Planning and Inference, 2007 The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators. The method relies on the existence of a sort of contraction of the parameter space which admits the true parameter as a fixed point. The proofs are short and elementary.
Chafai, Djalil, Concordet, Didier
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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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Scalable strong consistency for web applications [PDF]
Proceedings of the 11th workshop on ACM SIGOPS European workshop, 2004 Web application workloads are often characterized by a large number of unique read requests and a significant fraction of write requests. Hosting these applications drives the need for the next generation CDN architecture that does more than caching the results of Web applications but replicates both the application code and its underlying data.
Swaminathan Sivasubramanian +2 more
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Condorcet Consistency and the strong no show paradoxes [PDF]
Mathematical Social Sciences, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Laura Kasper +2 more
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