Robust and Trend-following Kalman Smoothers using Student's t

Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto

We propose two nonlinear Kalman smoothers that rely on Student's t distributions. The T-Robust smoother finds the maximum a posteriori likelihood (MAP) solution for Gaussian proces…