Zobrazeno 1 - 10
of 35 326
pro vyhledávání: '"Transition matrices"'
Autor:
Guo, Krystal, Schmeits, Vincent
In this paper, we consider state transfer in quantum walks by using combinatorial methods. We generalize perfect state transfer in two-reflection discrete-time quantum walks to a notion that we call peak state transfer; we define peak state transfer
Externí odkaz:
http://arxiv.org/abs/2411.05560
Autor:
Khanna, Aditya, Loehr, Nicholas A.
Asvin G and Andrew O'Desky recently introduced the graded algebra P$\Lambda$ of polysymmetric functions as a generalization of the algebra $\Lambda$ of symmetric functions. This article develops combinatorial formulas for some multiplication rules an
Externí odkaz:
http://arxiv.org/abs/2408.13404
Autor:
Huang, De, Li, Xiangyuan
We establish non-asymptotic error bounds for the classical Maximal Likelihood Estimation of the transition matrix of a given Markov chain. Meanwhile, in the reversible case, we propose a new reversibility-preserving online Symmetric Counting Estimati
Externí odkaz:
http://arxiv.org/abs/2408.05963
We introduce a new class of probabilistic cellular automata that are capable of exhibiting rich dynamics such as synchronization and ergodicity and can be easily inferred from data. The system is a finite-state locally interacting Markov chain on a c
Externí odkaz:
http://arxiv.org/abs/2405.02928
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-24 (2024)
Abstract Human mobility describes physical patterns of movement of people within a spatial system. Many of these patterns, including daily commuting, are cyclic and quantifiable. These patterns capture physical phenomena tied to processes studied in
Externí odkaz:
https://doaj.org/article/20532f7b91ff4417a976671ac4681618
In this work we consider Markov tree-shifts given by $k$ transition matrices, one for each of its $k$ directions. We analyse some topological properties introduced by arXiv:1509.01355 in order to answer some of the questions raised by those authors.
Externí odkaz:
http://arxiv.org/abs/2307.05850
Autor:
Ugurel, Ekin
In this paper, we present a kernel-based, multi-task Gaussian Process (GP) model for approximating the underlying function of an individual's mobility state using a time-inhomogeneous Markov Process with two states: moves and pauses. Our approach acc
Externí odkaz:
http://arxiv.org/abs/2306.11772
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