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) that exponentially discounts older data, ensuring the most recent measurements have the highest impact on predictions.

: Unlike standard random utility models, RAR can account for context-specific behaviors like the attraction effect . 2. Recursive Autoregressive Model (rAR)

In clinical trials, describes a Response-Adaptive Randomization rule. Models.rar

In engineering and healthcare, refers to a Recursive Autoregressive Model used for real-time forecasting.

: A clinical biomarker used in Cox regression models to predict in-hospital mortality for sepsis and heart failure patients. ) that exponentially discounts older data, ensuring the

: Studies show rAR achieves higher precision (approx. ) and recall (approx. ) compared to other techniques like ARIMA. 3. Response-Adaptive Randomization (RAR)

The Random Reference Model (RAR) is a framework in decision theory used to study stochastic choice behavior. : Studies show rAR achieves higher precision (approx

: It assumes decision-makers have reference-dependent preferences where the "reference point" itself is a random variable. Special Cases :