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Straight forward and robust new method to price American options by simulation : a probability distribution function approach

Straight forward and robust new method to price American options by simulation : a probability distribution function approach

... conditional probability distribution function can always be computed when the Euler discretized sim- ulation approach is used to simulate the behavior of the underlying ...the probability ...

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Chapter 4.  Probability Distribution. IT. I Quarter

Chapter 4. Probability Distribution. IT. I Quarter

... Poisson Distribution is very similar to the Binomial ...the probability of an event occurring over a certain ...Binomial Distribution looks at how many times we register a success over a fixed total ...

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TítuloEfficient and Compact Representations of Some Non canonical Prefix Free Codes

TítuloEfficient and Compact Representations of Some Non canonical Prefix Free Codes

... a probability distribution over an alphabet of σ characters, we can store a nearly optimal alpha- betic prefix-free code in o(σ) bits such that we can encode and decode any character in constant ...

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Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty

Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty

... a probability distribution over the neuronal type and the axonal features, obtained, for each interneuron, from the neuroscientists’ classification ...such probability distributions with Bayesian ...

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Permutation entropy and its main biomedical and econophysics applications: a review

Permutation entropy and its main biomedical and econophysics applications: a review

... Second, classical entropy measures suppose some prior knowledge about the system; specifically, in using quantifiers based on Information Theory, a probability distribution associated to the time series ...

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... unknown probability distribution function of these privately observed variables are estimated simultaneously under the assumption that observed outcomes are the result of a Bayesian-Nash ...

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Uncertainty Levels of Second-Order Probability

Uncertainty Levels of Second-Order Probability

... probability distribution. One possibility is to assign all second-order probability to the maximum entropy distribution where all outcomes are equally ...first-order distribution is the ...

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Performance Analysis of a VBR Video Server With Self Similar Gamma Distributed MPEG 4 Data

Performance Analysis of a VBR Video Server With Self Similar Gamma Distributed MPEG 4 Data

... Specifically, we will develop stochastic models that will incorporate the fractal characteristics of video data using the Gamma probability distribution to compute service-rate, maximum [r] ...

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Classification of normal and pre-ictal EEG signals using permutation entropies and a generalized linear model as a classifier

Classification of normal and pre-ictal EEG signals using permutation entropies and a generalized linear model as a classifier

... discrete probability distribution function derived from symbolization techniques applied to the EEG signal is used to calculate the Tsallis entropy, Shannon Entropy, Renyi Entropy, and Min Entropy, and they ...

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Complex dynamics in power grids

Complex dynamics in power grids

... cumulative probability distribution of blackout sizes, which shows a power law ...the probability of large size blackouts with the recovery of the pending ...

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American Association for the Advancement of Science, 1200 New York Avenue NW, Washington, DC 20005. (print ISSN 0036-8075; online ISSN 1095-9203) is published weekly, except the last week in December, by the

American Association for the Advancement of Science, 1200 New York Avenue NW, Washington, DC 20005. (print ISSN 0036-8075; online ISSN 1095-9203) is published weekly, except the last week in December, by the

... may have been acutely sensitive to radiative forcing during some intervals of Earth’s history. Our results imply that dramatic changes in physical processes are not necessary for dramat- ic changes in climate ...

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Temperature effects, Frieden-Hawkins' order-measure, and Wehrl entropy

Temperature effects, Frieden-Hawkins' order-measure, and Wehrl entropy

... Processes of coarse graining are the essence in the Frieden–Hawkins’ order definition. The process is described in the preceding subsection and more details are given in Section 4 below. This coarse graining takes place ...

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Fitting phase type distribution to service process with sequential phases

Fitting phase type distribution to service process with sequential phases

... F 1 , , 2 ,...., was given by Krishnaiah and Miao (1988). Besides maximum likelihood and least square estimates, the Bayesian method is also a very useful technique for estimating parameters. Chernoff and Zacks(1964) ...

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Pedestrian wind comfort: feasibility study of criteria homogenisation

Pedestrian wind comfort: feasibility study of criteria homogenisation

... In fact, as shown in the wind tunnel experiments performed by Pearce and Baker (1999) the probability distribution of instantaneous local wind speed at points placed in an urban envi[r] ...

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Advanced Probability Theory for Biomedical Engineers – John D. Enderle

Advanced Probability Theory for Biomedical Engineers – John D. Enderle

... on probability theory and random processes for biomedical ...standard probability distributions commonly en- countered in biomedical ...the probability distribution of a func- tion of a random ...

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Discrete Heavy Tailed Distributions for Network Traffic Modeling-Edición Única

Discrete Heavy Tailed Distributions for Network Traffic Modeling-Edición Única

... The probability distribution functions commonly used to model voice traffic, such as Poisson or exponential distributions, do not have a good fit when we try to use them to model some ch[r] ...

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Intermediate Probability Theory for Biomedical Engineers

Intermediate Probability Theory for Biomedical Engineers

... Up to now, we have primarily described the uncertainty associated with a random variable using the PDF or CDF. In some applications, these functions may not be easy to work with. In this section, we introduce the use of ...

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Novel applications of Machine Learning to Network Traffic Analysis and Prediction

Novel applications of Machine Learning to Network Traffic Analysis and Prediction

... joint probability distribution and with non-Gaussian marginals (or another easily parameterized distribution), it is very difficult to apply methods based on information theory ...the ...

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Syllabus Statistics and Probability; 2019,1 doc

Syllabus Statistics and Probability; 2019,1 doc

... statistics, probability and statistical inference, and demonstrate real world applications, particularly such linked to the field of ...variability; Probability and Probability Distribution, ...

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An object-oriented tool for modeling phase-type distributions and a computational benchmarking of fitting algorithms

An object-oriented tool for modeling phase-type distributions and a computational benchmarking of fitting algorithms

... An algorithm to tackle the problem of matching three moments was first proposed by John- son and Taaffe [21], who used a subset of the Phase-Type distributions known as Hyper-Erlang distributions, which is a convex ...

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