Common statistical models include regression, time series, and risk assessment tools. Effective use depends on accurate data and assumptions, minimizing bias. Kristi Waterworth has been a contributing ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

Critical analyses of AI usually adopt a stance of defensive humanism. Instead, Nan Da interrogates its mode of reasoning. How ...