probabilities for the mle estimate accuracies
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BBBischof
Last edited Nov 25, 2018
Created on Nov 25, 2018
Simulation results show how often maximum likelihood estimation recovers the true parameter under varying light-switch conditions. Each curve tracks accuracy across repeated trials, with probabilities rising toward certainty as sample sizes increase. The data is stored as nested JSON arrays, grouped by simulation dimension. d3.forceSimulation likely powers the layout, while d3.scale maps accuracy values to visual encodings. Multiple simulation runs per configuration reveal variance in estimator performance, highlighting how reliably the MLE converges for different problem sizes.
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