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math.PR2021
Hoeffding's inequality for non-irreducible Markov models
Nikola Sandric, Stjepan Sebek
In this article, we establish Hoeffding's inequality for bounded Lipschitz functions of a class of not necessarily irreducible Markov models. The result complements the existing li…
math.ST2021
Learning from non-irreducible Markov chains
Nikola Sandrić, Stjepan Šebek
Mostof the existing literature on supervised machine learning problems focuses on the case when the training data set is drawn from an i.i.d. sample. However, many practical proble…
math.PR2021★ 1 cited
On asymptotic fairness in voting with greedy sampling
Abraham Gutierrez, Sebastian Müller, Stjepan Šebek
The basic idea of voting protocols is that nodes query a sample of other nodes and adjust their own opinion throughout several rounds based on the proportion of the sampled opinion…