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
The book presents a coherent treatment of Markov random walks and Markov additive processes together...
International audienceVariable Length Memory Chains (VLMC), which are generalizations of finite orde...
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 (...
The book presents a coherent treatment of Markov random walks and Markov additive processes together...
International audienceVariable Length Memory Chains (VLMC), which are generalizations of finite orde...
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 (...
The book presents a coherent treatment of Markov random walks and Markov additive processes together...
International audienceVariable Length Memory Chains (VLMC), which are generalizations of finite orde...
Infinite random sequences of letters can be viewed as stochastic chains or as strings produced by a ...