Estimating missing marker positions using low dimensional Kalman smoothing

Estimating Missing Traffic Volume Using Low Multilinear Rank Tensor Completion

Backward-Smoothing Extended Kalman Filter

The principle of the iterated extended Kalman filter has been generalized to create a new filter that has superior performance when the estimation problem contains severe nonlinearities. The new filter is useful when nonlinearities might significantly degrade the accuracy or convergence reliability of other filters. The new filter solves a nonlinear smoothing problem for the current and past sa...

estimating claims reserves using ibnr reserves

شرکت های بیمه در قبال بیمه گذاران متعهد می شوند که به ازای دریافت حق بیمه، خسارت وارده به بیمه گذاران را جبران نمایند. بنابراین بیمه گر همیشه مبالغی را بر عهده دارد که متعلق به بیمه گذاران است و مربوط به تعهدات آینده می باشد. این مبالغ را ذخایر فنی یا technical reserves گویند. بیمه گر موظف است در پایان سال مالی، هنگام بستن حساب ها، ذخایر فنی را محاسبه و نگهداری کند. پس از وقوع خسارت، بیمه گذار ...

Analysis of Spatial Count Data using Kalman Smoothing

Claus Dethlefsen Dept. of Mathemati al S ien es Aalborg University Fr. Bajers Vej 7G 9220 Aalborg, Denmark Abstra t This paper onsiders spatial ount data from an agri ultural eld experiment. Counts of weed plants in a eld have been re orded in a proje t on pre ision farming. Interest is in mapping the weed intensity so that the dose of herbi ide applied at any lo ation an be adjusted to the amo...

Sequential Bundle Adjustment Using Kalman Filtering and Optimal Smoothing

Vision aiding of the navigation solution has become an integral component of low-cost IMU/GPS sub-systems providing direct georeferencing to remote sensing systems. The data workflow to recover the orientation parameters rigorously requires the simultaneous handling of large amount of imagery and navigation data. In some situations, with small unmanned aerial vehicles for example, a flight bloc...