Local Limit Theorems for Inhomogeneous Markov Chains

This book extends the local central limit theorem to inhomogeneous Markov chains whose state spaces and transition probabilities are allowed to change in time. Such chains are used to model Markovian systems depending on external time-dependent parameters. It develops a new general theory of local l...

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Ngā kaituhi matua:	Dolgopyat, Dmitry (Author), Sarig, Omri M. (Author)
Kaituhi rangatōpū:	SpringerLink (Online service)
Hōputu:	Tāhiko īPukapuka
Reo:	Ingarihi
I whakaputaina:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Putanga:	1st ed. 2023.
Rangatū:	Lecture Notes in Mathematics, 2331
Ngā marau:	Probabilities. Stochastic processes. Dynamical systems. Probability Theory. Stochastic Processes. Dynamical Systems.
Urunga tuihono:	https://doi.org/10.1007/978-3-031-32601-1
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!