Results 31 to 40 of about 32,928 (252)
Adaptive Ensemble Learning With Confidence Bounds
Extracting actionable intelligence from distributed, heterogeneous, correlated and high-dimensional data sources requires run-time processing and learning both locally and globally. In the last decade, a large number of meta-learning techniques have been proposed in which local learners make online predictions based on their locally-collected data ...
Cem Tekin +2 more
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Confidence intervals for functions of coefficients of variation with bounded parameter spaces in two gamma distributions [PDF]
The problem of estimating parameters in a gamma distribution has been widely studied with respect to both theories and applications. In special cases, when the parameter space is bounded, the construction of the confidence interval based on the ...
Patarawan Sangnawakij, Sa-Aat Niwitpong
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Interval Kepercayaan Untuk Fungsi Nilai Harapan dan Fungsi Ragam Proses Poisson Periodik Majemuk
Compound cyclic Poisson process have the mean and variance functions. The objective of this paper is to construct confidence intervals for respectively the mean and variance functions of a compound cyclic Poisson process with significance level 0alpha1 ...
Auliya Fithry +2 more
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Estimating the richness of a population when the maximum number of classes is fixed: a nonparametric solution to an archaeological problem. [PDF]
Estimating assemblage species or class richness from samples remains a challenging, but essential, goal. Though a variety of statistical tools for estimating species or class richness have been developed, they are all singly-bounded: assuming only a ...
Metin I Eren +3 more
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Bounded-Confidence Models of Opinion Dynamics with Adaptive Confidence Bounds
a few minor edits for clarity; 45 ...
Grace J. Li, Jiajie Luo, Mason A. Porter
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We consider the problem of estimating the mean function of a compound cyclic Poisson process in the presence of power function trend. The objectives of this paper are: (i) to construct confidence interval for the mean function of a compound cyclic ...
Faisal Muhammad +2 more
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Confidence Bounds for a set of Means
Professor John Tukey suggested the following two problems to the author: given that $X_1, X_2, \cdots, X_n$ are normally and independently distributed with unknown means $\mu_1, \mu_2, \cdots, \mu_n$ and given variance $\sigma^2$; PROBLEM A: Find a $\beta$-level confidence interval of the form $g(x_1, \cdots, x_n) \geqq \mu_1, \cdots, \mu_n \geqq ...
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Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review
ABSTRACT Paediatric soft tissue sarcomas (pSTS) are a rare and heterogeneous group of malignant tumours arising in tissues of mesenchymal origin. The role of natural killer (NK) cells in pSTS remains poorly understood, with evidence fragmented across small preclinical studies and early‐phase clinical trials.
Raya Dean +7 more
wiley +1 more source
Ideas From Bounded Confidence Theory Applied to Dynamical Networks of Interacting Free-Bodies
An approximation method is introduced for simulating the motion of interacting free-bodies. Concepts from bounded confidence theory (in network science) and asymptotic analysis (in physics) are combined to create the method.
Gary J. O'Keeffe, Ioannis K. Dassios
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There has long been interest in making inferences about future low-probability natural events that have magnitudes greater than any in the past record. Given a stationary time series, the unbounded Type 1 and Type 2 asymptotic extreme value distributions
Earl Bardsley, Varvara Vetrova
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