Results 11 to 20 of about 3,906,906 (309)
Probability Measure on Discrete Spaces and Algebra of Real-Valued Random Variables [PDF]
In this article we continue formalizing probability and randomness started in [13], where we formalized some theorems concerning the probability and real-valued random variables.
Agata Darmochwał+23 more
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Tracing evolutionary links between species [PDF]
The idea that all life on earth traces back to a common beginning dates back at least to Charles Darwin's {\em Origin of Species}. Ever since, biologists have tried to piece together parts of this `tree of life' based on what we can observe today ...
Steel, Mike
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High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to
R. Vershynin
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Attitudes, Study Habits, and Academic Performance of Junior High School Students in Mathematics
Mathematics as a discipline is considered as one of the most difficult subjects among Filipino learners. This study was conducted in a public national high school in the Mandaue City Division, Cebu, Philippines.
Jonathan Olores Etcuban+5 more
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Most studies of Augmented Reality (AR) in education have considered students' learning outcomes and motivation. Previous studies have revealed that AR has the potential to help students learn abstract conceptions in mathematics.
Su Cai+3 more
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Probability theory is the mathematical study of uncertainty. In the real world, probability models are used to predict the movement of stock prices, compute insurance premiums, and evaluate cancer treatments.
R. Haralick
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Kolmogorov's Zero-One Law [PDF]
This article presents the proof of Kolmogorov’s zero-one law in probability theory. The independence of a family of σ-fields is defined and basic theorems on it are given.Ludwig Maximilian University of Munich, GermanyGrzegorz Bancerek.
Doll, Agnes
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An introduction to statistical learning with applications in R
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
Fariha Sohil+2 more
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The introduction of probability into mathematics
AbstractThe coincidence of two independent developments led to the mathematization of probability from Pascal to de Moivre. On the one hand there are the changing implications of probabilitas ending in a quantifiable concept, and on the other, the mathematization of chance within the area of games of chance.
openaire +2 more sources
The Topology-Free Construction of the Universal Type Structure for Conditional Probability Systems
We construct the universal type structure for conditional probability systems without any topological assumption, namely a type structure that is terminal, belief-complete, and non-redundant. In particular, in order to obtain the belief-completeness in a
Guarino, Pierfrancesco
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