Distributionshard
0:00.0

A continuous random variable XX has an entropy H(X)=f(x)ln(f(x))dxH(X) = -\int f(x) \ln(f(x)) dx. If XNormal(μ,σ2)X \sim \text{Normal}(\mu, \sigma^2), which of the following expressions correctly represents H(X)H(X) in nats?