Suppose we have an Erdos-Renyi model G (n, p). Let m be the number of edges of the graph. What is the expected number of edges in terms of n and p? (For the problems in this course, if you arrive at...


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Suppose we have an Erdos-Renyi model G (n, p). Let m be the number of edges of the graph.<br>What is the expected number of edges in terms of n and p?<br>(For the problems in this course, if you arrive at any expressions in terms of binomial coefficients such as \binom {b,k}\, enter<br>a simplified algebraic expression without binomial coefficients. )<br>E [m] =<br>((n*(n-1))/2)*p<br>(-):<br>n· (n – 1)<br>If we observe a random realization of this graph model to have m edges, then what is the maximum likelihood estimate for p<br>in terms of n and m?<br>n-1<br>п — 1<br>

Extracted text: Suppose we have an Erdos-Renyi model G (n, p). Let m be the number of edges of the graph. What is the expected number of edges in terms of n and p? (For the problems in this course, if you arrive at any expressions in terms of binomial coefficients such as \binom {b,k}\, enter a simplified algebraic expression without binomial coefficients. ) E [m] = ((n*(n-1))/2)*p (-): n· (n – 1) If we observe a random realization of this graph model to have m edges, then what is the maximum likelihood estimate for p in terms of n and m? n-1 п — 1

Jun 10, 2022
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