Indefinitely Oscillating Martingales
Loading...
Date
Authors
Leike, Jan
Hutter, Marcus
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Verlag
Abstract
We construct a class of nonnegative martingale processes
that oscillate indefinitely with high probability. For these processes, we
state a uniform rate of the number of oscillations for a given magnitude
and show that this rate is asymptotically close to the theoretical upper
bound. These bounds on probability and expectation of the number of
upcrossings are compared to classical bounds from the martingale literature.
We discuss two applications. First, our results imply that the
limit of the minimum description length operator may not exist. Second,
we give bounds on how often one can change one’s belief in a given
hypothesis when observing a stream of data.
Description
Citation
Collections
Source
Type
Book Title
Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings
Entity type
Access Statement
Open Access