... 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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... 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 ...

18

... 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 ...

11

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

13

... 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 ...

25

... 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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... **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 ...

7

... 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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... 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 ...

12

... 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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... 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 ...

5

... 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 ...

19

... 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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... 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] ...

15

... 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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... 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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... 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 ...

114

... 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 ...

183

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

8

... 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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