Results 261 to 270 of about 12,206,178 (323)
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Precipitation imputation with probability space-based weighting methods
, 2020Euclidean distance-based spatial interpolation methods that are conceptually simple are commonly used for the imputation of missing precipitation and other hydroclimatic variable datasets.
R. Teegavarapu
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Conceptualising and measuring the location of work: Work location as a probability space
, 2020There is currently considerable interest in workers performing tasks from a variety of workplaces, such as co-working spaces, transport-networks and cafés. However, it remains difficult to ascertain the extent to which this workplace mobility is altering
Richard Shearmur
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Quantitative Methods in Transportation, 2020
We collect in this chapter some basic notions and methods from probability theory. Our aim is to give a brief exposition of results that are repeatedly used in the analysis of randomized algorithms.
Dušan Teodorović, M. Nikolić
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We collect in this chapter some basic notions and methods from probability theory. Our aim is to give a brief exposition of results that are repeatedly used in the analysis of randomized algorithms.
Dušan Teodorović, M. Nikolić
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An Efficient Algorithm to Compute a Quantum Probability Space
IEEE Transactions on Knowledge and Data Engineering, 2019Learning algorithms based on probability organize the observed data in subsets corresponding to binary variables. In this paper, we address the problem of estimating one probability space given a set of observed data about $n$n variables or properties ...
M. Melucci
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Probability Logic for Type Spaces
Games and Economic Behavior, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aviad Heifetz, Philippe Mongin
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Space debris collision probability analysis for proposed global broadband constellations
Acta Astronautica, 2018Fragmentation events, caused by the collision of two objects in space, have been a significant source of space debris objects over a cumulative five decades of space activity.
S. Le May +3 more
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On the multifractal analysis of measures in a probability space
, 2021Zhiming Li, B. Selmi
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Probability Space of Stochastic Fractals
Ukrainian Mathematical Journal, 2004The authors propose a method to define random subsets of \(\mathbb R\) in such a way that the fractal dimension becomes a measurable functional. They introduce a class of \(c\)-systems of sets and prove that a finite measure on a \(c\)-system can be extended, in a unique way, to the minimal \(\sigma\)-algebra generated by the \(c\)-system.
Virchenko, Yu. P., Shpilinskaya, O. A.
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Probability and the patient state space
International journal of clinical monitoring and computing, 1990This paper describes work to develop a model-based system to support clinical decision-making. In previous articles, we have developed (from 695 measurement sets obtained from 148 patients) a physiologic state classification based on a set of 11 cardiovascular and metabolic measurements.
Coleman, Wp +6 more
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A note on the multifractal Hewitt-Stromberg measures in a probability space
, 2020B. Selmi
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