Results 61 to 70 of about 1,638,072 (98)
Monte Carlo study of the hull distribution for the q=1 Brauer model
We study a special case of the Brauer model in which every path of the model has weight q=1. The model has been studied before as a solvable lattice model and can be viewed as a Lorentz lattice gas.
Ahlfors L V+18 more
core +3 more sources
Free probability for probabilists [PDF]
This is an introduction to some of the most probabilistic aspects of free probability theory.
arxiv
The Probability of a Run [PDF]
We prove the explicit formula for the probability of a run of r successes in n trials.
arxiv
Local time on the exceptional set of dynamical percolation, and the Incipient Infinite Cluster [PDF]
In dynamical critical site percolation on the triangular lattice or bond percolation on \Z^2, we define and study a local time measure on the exceptional times at which the origin is in an infinite cluster.
Hammond, Alan+2 more
core +1 more source
The probability that a subspace contains a positive vector [PDF]
We determine the probability that a random k-dimensional subspace of Euclidean n-space contains a positive vector.
arxiv
Law of Large Numbers for a Class of Superdiffusions [PDF]
Under spectral conditions, we prove a LLN type result for superdiffusions, where the convergence is meant in probability. The main tool is a space-time H-transformation.
arxiv +1 more source
Quantifiers as Adjoint in Probability [PDF]
Using the Kleisi category of the Giry monad the deterministic existential and universal quantifiers are generalized to incorporate nondeterminism. These probabilistic quantifiers are quantified over the points of the category which are probability measures.
arxiv
Loop measures without transition probabilities [PDF]
We construct Markov loop measures without assuming the existence of densities for transition probabilities.
arxiv
Estimates of the Exit Probability for Two Correlated Brownian Motions
Given two correlated Brownian motions (X t ) t≥ 0 and (Y t ) t≥ 0 with constant correlation coefficient, we give the upper and lower estimations of the probability ℙ(max0 ≤s≤t X s ≥ a, max0 ≤s≤t Y s ≥ b) for any a,b,t > 0 through explicit formulae.
J. Shao, Xiuping Wang
semanticscholar +1 more source
On the Generalized Arcsine Probability Distribution with Bounded Support [PDF]
Properties of the beta functions are investigated. We define the generalized arcsine probability distribution with bounded support. The properties of the beta functions prove some results for this distribution.
arxiv