Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Steven N. Evans"'
Publikováno v:
PLoS ONE, Vol 8, Iss 6 (2013)
Externí odkaz:
https://doaj.org/article/fb4906be74024b618706f7129ea1dda4
Autor:
Steven N. Evans, Mehdi Ouaki
Publikováno v:
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques. 58
Autor:
Adam Q. Jaffe, Steven N. Evans
We introduce the space of virtual Markov chains (VMCs) as a projective limit of the spaces of all finite state space Markov chains (MCs), in the same way that the space of virtual permutations is the projective limit of the spaces of all permutations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49952c1c161d16efd9dba3fd16e7502e
http://arxiv.org/abs/2107.14268
http://arxiv.org/abs/2107.14268
Autor:
Alexandru Hening, Steven N. Evans
Publikováno v:
Stochastic processes and their applications, vol 129, iss 5
Evans, SN; & Hening, A. (2018). Markov processes conditioned on their location at large exponential times. Stochastic Processes and their Applications. doi: 10.1016/j.spa.2018.05.013. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/5s93h4v3
Stoch Process Their Appl
Evans, SN; & Hening, A. (2018). Markov processes conditioned on their location at large exponential times. Stochastic Processes and their Applications. doi: 10.1016/j.spa.2018.05.013. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/5s93h4v3
Stoch Process Their Appl
Suppose that $(X_t)_{t \ge 0}$ is a one-dimensional Brownian motion with negative drift $-\mu$. It is possible to make sense of conditioning this process to be in the state $0$ at an independent exponential random time and if we kill the conditioned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::601bf9c75f3944b544a397a77c3bf86c
https://escholarship.org/uc/item/5s93h4v3
https://escholarship.org/uc/item/5s93h4v3
Autor:
Steven N. Evans, Daniel Raban
Publikováno v:
Electron. Commun. Probab.
An infinite sequence of real random variables $(\xi_1, \xi_2, \dots)$ is said to be rotatable if every finite subsequence $(\xi_1, \dots, \xi_n)$ has a spherically symmetric distribution. A celebrated theorem of Freedman states that $(\xi_1, \xi_2, \
Autor:
Hye Soo Choi, Steven N. Evans
Publikováno v:
Stochastic processes and their applications. 127(7)
We consider a Markov chain that iteratively generates a sequence of random finite words in such a way that the nth word is uniformly distributed over the set of words of length 2n in which n letters are a and n letters are b: at each step an a and a
Autor:
Ilya Molchanov, Steven N. Evans
Publikováno v:
Evans, SN; & Molchanov, I. (2017). The semigroup of metric measure spaces and its infinitely divisible probability measures. Transactions of the American Mathematical Society, 369(3), 1797-1834. doi: 10.1090/tran/6714. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/3226b0nr
Transactions of the American mathematical society, vol 369, iss 3
Transactions of the American mathematical society, vol 369, iss 3
A metric measure space is a complete separable metric space equipped with probability measure that has full support. Two such spaces are equivalent if they are isometric as metric spaces via an isometry that maps the probability measure on the first
Publikováno v:
Ann. Probab. 45, no. 1 (2017), 225-277
The Annals of Probability, vol 45, iss 1
The Annals of Probability, vol 45, iss 1
Author(s): Evans, SN; Grubel, R; Wakolbinger, A | Abstract: Remy's algorithm is a Markov chain that iteratively generates a sequence of random trees in such a way that the nth tree is uniformly distributed over the set of rooted, planar, binary trees
Publikováno v:
Journal of mathematical biology, vol 71, iss 2
Evans, SN; Hening, A; & Schreiber, SJ. (2014). Protected polymorphisms and evolutionary stability of patch-selection strategies in stochastic environments. Journal of Mathematical Biology. doi: 10.1007/s00285-014-0824-5. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/1332n1jk
Evans, SN; Hening, A; & Schreiber, SJ. (2014). Protected polymorphisms and evolutionary stability of patch-selection strategies in stochastic environments. Journal of Mathematical Biology. doi: 10.1007/s00285-014-0824-5. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/1332n1jk
We consider a population living in a patchy environment that varies stochastically in space and time. The population is composed of two morphs (that is, individuals of the same species with different genotypes). In terms of survival and reproductive