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ml-recall

#moment-matching

1 question from Statistics & Estimation

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1 question · 1 min · score and explanations at the end

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Question 1: Short answer

hardAI-checkedStatistics & Estimation

The Ising model p(x1,x2;θ)∝exp⁡(θx1x2+x1+x2)p(x_1, x_2; \theta) \propto \exp(\theta x_1 x_2 + x_1 + x_2) with xi∈{−1,1}x_i \in \{-1, 1\} has Z(θ)=2e−θ+eθ+2+eθ−2Z(\theta) = 2e^{-\theta} + e^{\theta + 2} + e^{\theta - 2}. The figure shows f(θ)=∂log⁡Z(θ)/∂θf(\theta) = \partial \log Z(\theta)/\partial\theta. You observe the three data points (x1,x2)=(−1,−1)(x_1, x_2) = (-1, -1), (−1,1)(-1, 1) and (1,−1)(1, -1). Read the maximum likelihood estimate θ^\hat\theta off the figure.

a number read from the plot, 1 decimal