Probability Spaces: Sigma Algebra & Poisson Dist.

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In summary, we discussed the concept of probability spaces and how it relates to the Poisson distribution. We also mentioned that the power set is the sigma algebra for the set of integers in the Poisson distribution.
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mathisgreat
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probability spaces!

hi!
given poisson distribution in the space 0,1,2,3,... can we check if the distribution is a probability space where sigma algebra is the power set!
 
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  • #2
mathisgreat said:
hi!
given poisson distribution in the space 0,1,2,3,... can we check if the distribution is a probability space where sigma algebra is the power set!

You seem to be confused about definitions of terms: "distribution", "probability space".

For the Poisson distribution, the Pr. space is the set of integers, where the probability of a specific integer is determined by the Poisson. Any collection of integers has a probability defined by adding up the prob. of the integers in the set. Thus the power set is the sigma algebra.
 
  • #3
thanks..i guess my qn was not at all specific..sorry!
 

FAQ: Probability Spaces: Sigma Algebra & Poisson Dist.

What is a probability space?

A probability space is a mathematical concept used to model the random outcomes of an experiment or event. It consists of three components: a sample space, a set of events, and a probability measure that assigns a likelihood to each event.

What is a sigma algebra?

A sigma algebra, also known as a sigma-field, is a collection of subsets of a sample space that satisfies certain properties. It is used in probability theory to define the events that can be assigned probabilities.

How is a sigma algebra related to a probability space?

A sigma algebra is a necessary component of a probability space. It ensures that all possible events are accounted for and that the probability measure is well-defined. Without a sigma algebra, it would be impossible to assign probabilities to events in a consistent manner.

What is the Poisson distribution?

The Poisson distribution is a probability distribution that describes the number of events that occur in a fixed interval of time or space. It is often used to model rare events or phenomena that occur randomly.

How is the Poisson distribution related to probability spaces?

The Poisson distribution is an example of a probability distribution that can be defined on a probability space. It is used in applications such as queuing theory, epidemiology, and telecommunications to model the occurrence of random events.

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