DYNAMO uses kernel-weighted local M-estimators to learn time-varying causal graphs from non-stationary time series, and applies them to EPL data to claim time-varying home field advantage driven partly by referee bias.
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Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process
DYNAMO uses kernel-weighted local M-estimators to learn time-varying causal graphs from non-stationary time series, and applies them to EPL data to claim time-varying home field advantage driven partly by referee bias.