Sentence examples for a basic probability from inspiring English sources

K represents a basic probability mass associated with conflicts among the sources of evidence.

The lower and upper bounds of an interval can be determined through a basic probability assignment, which includes the probability of the set bounded by two non-additive measures, namely belief and plausibility.

Let {Ω, P, Σ} be a basic probability space, Σ i-1⊂ Σ i ⊂ Σ, i ∈ Z be a sequence of Σ-algebras E be the mathematical expectation, ξ0, ξ1,... be a sequence of mutually independent random variables, ξ i ∈ R, ξ i be Σ i -adapted and independent on.

This method postulates that each patient has a basic probability of the outcome of interest based on his/her characteristics [ 29].

The SVD transformation of the data generates a basic probability model such that the joint density of the data (given parameters) is the product of univariate independent random variables, p (d | S, b, σ ε 2 ) = ∏ i = 1 n N (d i | s i b i, σ ε 2 ).

The present paper provides a circumstantial analysis of all basic probability distributions from the point of view of their properties and their use for the determination of measurement uncertainties by using type B evaluation methods.

I decided to apply to Statistics and Probability graduate programs after taking a seminar in Basic Probability with Ani Adhikari during a minority summer math program at Berkeley.

For many, it's a matter of basic probability: Out of 20 finalists, three – the District, Northern Virginia and Montgomery County – are a stone's throw from each other, the largest cluster of competing localities to advance in the Amazon playoffs.

A course covering basic probability theory such as ECON 131 or ECON 135 is recommended.

Prerequisites: Intermediate Microeconomics (Econ 121 or 125), a course covering basic probability theory such as Econ 131 or 135, as well as the completion of the mathematics requirement of the economics major.

A distance between two basic probability assignments (BPAs) presents a measure of performance for identification of algorithms based on the evidential theory of Dempster Shafer.