Examples of 'probability measure' in a sentence
Meaning of "probability measure"
probability measure: In statistics, this phrase refers to a function that assigns a likelihood or probability to different outcomes or events within a certain sample space
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- A mathematical measure on a probability space that can take on values between 0 and 1, with 0 corresponding to the empty set and 1 to the entire space.
How to use "probability measure" in a sentence
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probability measure
The basic properties of a probability measure are developed.
Probability measure and probability spaces.
Any probability distribution defines a probability measure.
Where is a probability measure on a space and where is measurable.
A probability space is a measure space with a probability measure.
Probability measure on the parameter space.
Such a measure is called a probability measure.
P is a probability measure on.
Make decisions by assigning a probability measure.
It is defined as an alternative probability measure conditioned on a particular value of a random variable.
Somehow the prices of all assets will determine a probability measure.
Let µ be a probability measure.
Probability measure µ.
We want to construct a probability measure.
The probability measure thus defined is known as the Binomial distribution.
See also
One can check that this gives a countably additive probability measure.
Then is a probability measure on.
Where for accessibility of notation we assume that the probability measure has a density.
Every probability measure on a standard Borel space turns it into a standard probability space.
The following proposition states that the probability measure is a continuous set function.
We give a sufficient condition ensuring the local stability of such a given invariant probability measure.
Where is a probability measure on.
A function P satisfying these rules is called a probability distribution or a probability measure.
Recall that the probability measure P is a function.
We can regard this as an ensemble of state trajectories Ω with probability measure dPr.
A probability measure is sought on this space, invariant under the symmetry group.
One can construct for any Markov kernel and any probability measure an associated Markov chain.
A probability measure mapping the probability space for 3 events to the unit interval.
In this section, is a probability measure space.
Lindley showed that fiducial probability lacked additivity, and so was not a probability measure.
The requirements for a function μ to be a probability measure on a probability space are that,.
But unconsciously, they are doing these quite complicated calculations that will give them a conditional probability measure.
The main result says, for each f ¿ f there is a probability measure invariant absolutely continuous.
Classical Wiener measure is a Gaussian measure, in particular, it is a strictly positive probability measure.
Any Baire probability measure on any locally compact σ-compact Hausdorff space is a regular measure.
As usual, a lot of questions and answers given in probability measure.
A probability measure is a measure with total measure one - i . e.
The program has to be self-delimiting to define this probability measure correctly.
Project Euclid, " When is a probability measure determined by infinitely many projections?
In the mathematical theory of probability, we confine our study to a probability measure, which satisfies.
The probability measure P { \ displaystyle P } is a function returning an event 's probability.
Abstract, In this thesis, we study the medians of a probability measure in a Riemannian manifold.
This particular probability measure on 0, 11 is called Lebesgue measure and.
The measure-theoretic formulation of Kolmogorov assumes that a probability measure is countably additive.
Left convolution on L2 ( G ) by a symmetric probability measure on G gives an operator of operator norm 1.
Defects per million opportunities (DPMO) is also a probability measure.
Conversely, if P is a probability measure and.
Calibration under the Risk-Neutral Probability Measure.
Furthermore, δx is the only probability measure whose support is { x.
The notion of almost sureness depends on the probability measure P { \ displaystyle P.
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Examples of using Probability
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In all probability the destination does not exist
This plan has a high probability of going south
The probability of execution and settlement is certain
Examples of using Measure
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It was an emergency measure but overcrowding is still a problem
Measure the difference between the markings
The unit of measure for water pressure
