We apply coupling techniques in order to prove that the transfer operators associated with random topological Markov chains and non-stationary shift spaces with the big images and preimages-property have a spectral gap.Comment: 17 page
An imprecise Markov chain is defined by a closed convex set of transition matrices instead of a uniq...
International audienceA finite ergodic Markov chain exhibits cutoff if its distance to equilibrium r...
11 pages; weaker condition on the moment of the scenery.International audienceRandom walks in random...
Papers from the Special Semester held at the Centre Interfacultaire Bernoulli, École Polytechnique F...
International audienceWe take on a Random Matrix theory viewpoint to study the spectrum of certain r...
+ self-adjointness, + almost-sure convergence, + stylistic changes +fixup in abstract and bibliograp...
International audienceWe study Markov interval maps with random holes. The holes are not necessarily...
For random compositions of independent and identically distributed measurable maps on a Polish space...
For non-invertible maps, subshifts that are mainly of finite type and piecewise monotone interval ma...
International audienceConsider an nxn random matrix X with i.i.d. nonnegative entries with bounded d...
In 1906, the Russian probabilist A.A. Markov proved that the independence of a sequence of random va...
International audienceWe study a family of memory-based persistent random walks and we prove weak co...
We prove that potentials with summable variations on topologically transitive countable Markov shift...
This thesis is at the interface between combinatorics and probability,and contributes to the study o...
International audienceWe study convergence to equilibrium for a large class of Markov chains in rand...
An imprecise Markov chain is defined by a closed convex set of transition matrices instead of a uniq...
International audienceA finite ergodic Markov chain exhibits cutoff if its distance to equilibrium r...
11 pages; weaker condition on the moment of the scenery.International audienceRandom walks in random...
Papers from the Special Semester held at the Centre Interfacultaire Bernoulli, École Polytechnique F...
International audienceWe take on a Random Matrix theory viewpoint to study the spectrum of certain r...
+ self-adjointness, + almost-sure convergence, + stylistic changes +fixup in abstract and bibliograp...
International audienceWe study Markov interval maps with random holes. The holes are not necessarily...
For random compositions of independent and identically distributed measurable maps on a Polish space...
For non-invertible maps, subshifts that are mainly of finite type and piecewise monotone interval ma...
International audienceConsider an nxn random matrix X with i.i.d. nonnegative entries with bounded d...
In 1906, the Russian probabilist A.A. Markov proved that the independence of a sequence of random va...
International audienceWe study a family of memory-based persistent random walks and we prove weak co...
We prove that potentials with summable variations on topologically transitive countable Markov shift...
This thesis is at the interface between combinatorics and probability,and contributes to the study o...
International audienceWe study convergence to equilibrium for a large class of Markov chains in rand...
An imprecise Markov chain is defined by a closed convex set of transition matrices instead of a uniq...
International audienceA finite ergodic Markov chain exhibits cutoff if its distance to equilibrium r...
11 pages; weaker condition on the moment of the scenery.International audienceRandom walks in random...
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