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Choosing a Proxy Metric from Past Experiments
We introduce a new statistical framework to both define and construct an optimal proxy metric for use in a homogeneous population of randomized experiments.
Pareto optimal proxy metrics
The two most significant issues are 1) low sensitivity of the north star metric and 2) differences between the short-term and long-term impact on the north star metric.
Mixture modeling on related samples by $ψ$-stick breaking and kernel perturbation
We introduce two techniques for incorporating these features in modeling related data samples using kernel mixtures.
Efficient functional ANOVA through wavelet-domain Markov groves
We introduce a wavelet-domain functional analysis of variance (fANOVA) method based on a Bayesian hierarchical model.
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