Add to ORKGBook chapterThis is the story of the encounter between two worlds: the world of random walks and the world of Variable Length Markov Chains (VLMC). The meeting point turns around the semi-Markov property of underlying processes
International audienceVariable Length Memory Chains (VLMC), which are generalizations of finite orde...
The book presents a coherent treatment of Markov random walks and Markov additive processes together...
Infinite random sequences of letters can be viewed as stochastic chains or as strings produced by a ...
Book chapterThis is the story of the encounter between two worlds: the world of random walks and the...
A classical random walk (St, t ∈ N) is defined by St:= t∑ n=0 Xn, where (Xn) are i.i.d. When the inc...
International audienceA classical random walk (S t , t ∈ N) is defined by S t := t n=0 X n , where (...
International audienceVariable Length Memory Chains (VLMC), which are generalizations of finite orde...
The book presents a coherent treatment of Markov random walks and Markov additive processes together...
Infinite random sequences of letters can be viewed as stochastic chains or as strings produced by a ...
Book chapterThis is the story of the encounter between two worlds: the world of random walks and the...
A classical random walk (St, t ∈ N) is defined by St:= t∑ n=0 Xn, where (Xn) are i.i.d. When the inc...
International audienceA classical random walk (S t , t ∈ N) is defined by S t := t n=0 X n , where (...
International audienceVariable Length Memory Chains (VLMC), which are generalizations of finite orde...
The book presents a coherent treatment of Markov random walks and Markov additive processes together...
Infinite random sequences of letters can be viewed as stochastic chains or as strings produced by a ...