Results 41 to 50 of about 3,287,971 (240)
Automatic Probabilistic Program Verification through Random Variable Abstraction
, 2010 The weakest pre-expectation calculus has been proved to be a mature theory to analyze quantitative properties of probabilistic and nondeterministic programs.
Barsotti, Damián, Wolovick, Nicolás
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Optimum Stochastic Allocation for Demand Response for Power Markets in Microgrids
EnergiesThis research incorporates an electricity market model based on a stochastic allocation of distributed resources and the analysis of an optimal demand response for a smart microgrid.
Edwin Garcia +3 more
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, 2013 A usual code for quantum wiretap channel requires an auxiliary random variable subject to the perfect uniform distribution. However, it is difficult to prepare such an auxiliary random variable.
Hayashi, Masahito
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The Wasserstein Metric between a Discrete Probability Measure and a Continuous One
MathematicsThis paper examines the Wasserstein metric between the empirical probability measure of n discrete random variables and a continuous uniform measure in the d-dimensional ball, providing an asymptotic estimation of their expectations as n approaches ...
Weihua Yang, Xu Zhang, Xia Wang
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Bayesian statistics and Monte Carlo methods
Journal of Geodetic Science, 2018 The Bayesian approach allows an intuitive way to derive the methods of statistics. Probability is defined as a measure of the plausibility of statements or propositions. Three rules are sufficient to obtain the laws of probability.
Koch K. R.
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Partially observed Markov random fields are variable neighborhood random fields
, 2012 The present paper has two goals. First to present a natural example of a new class of random fields which are the variable neighborhood random fields. The example we consider is a partially observed nearest neighbor binary Markov random field. The second
Cassandro, Marzio +2 more
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Reducing the Stochastic Coal Output Model Using the Convolution of Probability Density Functions
Applied SciencesThe construction of stochastic models and the use of stochastic simulations for their analysis constitute research methods used in the analysis of stochastic processes. These methods can be applied to processes carried out in underground mines.
Ryszard Snopkowski +2 more
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Random variable functions used in hydrology
Selecciones Matemáticas, 2019 In this work, expressions of the cumulative distribution function of Y X, Y/X and X/(X + Y ) for continuous dependent random variables with supported on a unbounded and bounded interval are derived.
Cira E. G. Otiniano, Yuri S. Maluf
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Influence of a carriageway width on the car Speed under urban conditions [PDF]
Avtomobilʹnyj Transport (Harʹkov), 2019 Problem. The car speed is the most important indicator of the traffic organization level. A priori it is obvious that the value of the car speed in a particular place and at a particular time is random.
Horbachov Peter +3 more
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A Note on Fibonacci Sequences of Random Variables
Statistica, 2022 The aim of this paper is to introduce and investigate the newrandom sequence in the form{X0, X1, Xn = Xn−2 +Xn−1, n = 2, 3, ..˙} , referred to as Fibonacci Sequence of Random Variables (FSRV).
Ismihan Bayramoğlu
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