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pro vyhledávání: '"Daria Pupashenko"'
Publikováno v:
Statistics & Probability Letters. 97:155-164
We derive conditions for L 2 differentiability of generalized linear models with error distributions not necessarily belonging to exponential families, covering both cases of stochastic and deterministic regressors. These conditions induce smoothness
A common situation in filtering where classical Kalman filtering does not perform particularly well is tracking in the presence of propagating outliers. This calls for robustness understood in a distributional sense, i.e.; we enlarge the distribution
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