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Distribution The Poisson Distribution

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Probability Distributions: Discrete vs. Continuous

Probability Distributions: Discrete vs. Continuous

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Negative binomial distribution Poisson probability distribution . Continuous Probability Distributions If a random variable is a continuous variable, its probability distribution is called a continuous probability distribution. A continuous probability distribution differs from a discrete probability distribution in several ways.

  Distribution, Poisson, Poisson distribution

Lecture 4: Poisson Approximation to Binomial Distribution ...

Lecture 4: Poisson Approximation to Binomial Distribution ...

www.stat.purdue.edu

Poisson Approximation for the Binomial Distribution • For Binomial Distribution with large n, calculating the mass function is pretty nasty • So for those nasty “large” Binomials (n ≥100) and for small π (usually ≤0.01), we can use a Poisson with λ = nπ (≤20) to approximate it!

  Distribution, Poisson

Lecture 20 | Bayesian analysis

Lecture 20 | Bayesian analysis

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distribution, so the posterior distribution of must be Gamma( s+ ;n+ ). As the prior and posterior are both Gamma distributions, the Gamma distribution is a conjugate prior for in the Poisson model. 20.2 Point estimates and credible intervals To the Bayesian statistician, the posterior distribution is the complete answer to the question:

  Distribution, Poisson, The poisson

Posterior Predictive Distribution

Posterior Predictive Distribution

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Posterior Predictive Distribution I Recall that for a fixed value of θ, our data X follow the distribution p(X|θ). I However, the true value of θ is uncertain, so we should average over the possible values of θ to get a better idea of the distribution of X. I Before taking the sample, the uncertainty in θ is represented by the prior distribution p(θ).

  Distribution

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