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# 01 Maxinun Likolihood Estination 0f [4pts] Assume we observe dataset of occurrence counts D = {81.12. Iw } coming from N ii.d random variables distributed according...

## Question

###### 01 Maxinun Likolihood Estination 0f [4pts] Assume we observe dataset of occurrence counts D = {81.12. Iw } coming from N ii.d random variables distributed according to Pois(X 2:A). Derive the maximum likelihood estimate of the rate parameter To help guide you; consider the following steps:Write out the log-likelihood function logP(DIA)Take the derivative of the log-likelihood with respect to the parameterSet the derivative equal to zero and solve for A call this maximizing value ALE: Your answer

01 Maxinun Likolihood Estination 0f [4pts] Assume we observe dataset of occurrence counts D = {81.12. Iw } coming from N ii.d random variables distributed according to Pois(X 2:A). Derive the maximum likelihood estimate of the rate parameter To help guide you; consider the following steps: Write out the log-likelihood function logP(DIA) Take the derivative of the log-likelihood with respect to the parameter Set the derivative equal to zero and solve for A call this maximizing value ALE: Your answer should make intuitive sense given our interpretation of as the average number of occurrences_

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