A tuning-free method for parameter estimation under varying error characteristics

A new approach for on-line parameter estimation is proposed that independently accounts for the prevailing error characteristics without requiring any tuning specification. A simple simulation example demonstrates that, whereas conventional estimators must be retuned when the actual model or measurement error changes, the new method consistently yields comparable output predictions without any user interference.