Let x₁,...,xn € Rd. Let y₁,..., yn be independent Poisson random variables satisfying E[yi] = e(xi,w), for some unknown w E Rd. Consider the problem of estimating w given x₁,..., xn and y₁,..., yn. 1. Show that the maximum-likelihood estimator ŵn for w is given by 1 n Σ-Yi (xi, w) + e(x₁,w). i=1 Vl≤i≤n, ŵn E argmin fn(w), fn(w):= === WERD n

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Let x₁,...,xn € Rd. Let y₁,..., yn be independent Poisson random variables satisfying
E[yi] = e(x₁,w²¹)
for some unknown wh e Rd. Consider the problem of estimating w given x₁,...,xn and y₁,..., yn.
1. Show that the maximum-likelihood estimator ŵn for w is given by
"
Vl≤i≤n,
ŵn E arg min fn(w), fn(w):
WERD
=
1
n
n
Σ-yi (xi, w) + exi, w)
i=1
Transcribed Image Text:Let x₁,...,xn € Rd. Let y₁,..., yn be independent Poisson random variables satisfying E[yi] = e(x₁,w²¹) for some unknown wh e Rd. Consider the problem of estimating w given x₁,...,xn and y₁,..., yn. 1. Show that the maximum-likelihood estimator ŵn for w is given by " Vl≤i≤n, ŵn E arg min fn(w), fn(w): WERD = 1 n n Σ-yi (xi, w) + exi, w) i=1
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