1 citations · 2 across the 7 of their papers we have counts for
8 papers
Effect of Stochastic Perturbations for Front Propagation in Kolmogorov Petrovskii Piscunov Equations
John M. Noble
This article considers equations of Kolmogorov Petrovskii Piscunov type in one space dimension, with stochastic perturbation: \partial_t u = \left (\fracκ{2} u_{xx} + u(1-u) \right…
A Prior Distribution over Directed Acyclic Graphs for Sparse Bayesian Networks
Felix L. Rios, John M. Noble, Timo J. T. Koski
The main contribution of this article is a new prior distribution over directed acyclic graphs, which gives larger weight to sparse graphs. This distribution is intended for struct…
Lp Solutions for Stochastic Evolution Equation with Nonlinear Potential
John M. Noble
This article considers the stochastic partial differential equation \[ \left\{ \begin{array}{l} u_t = \frac{1}{2} u_{xx} + u^γξu(0,.) = u_0 \end{array}\right. \] \noindent where $ξ…
Time Homogeneous Diffusion with drift and killing to meet a given marginal
John M. Noble
This article gives conditions on a probability measure and drift field b such that for a given killing field k and a given time t > 0, there is function a such that there is a time…
Time Homogeneous Diffusions with a Given Marginal at a Deterministic Time
John M. Noble
In this article, it is proved that for any cumulative distribution function with compact support and a specified t > 0, there exists a diffusion martingale which has this law at ti…
An Algorithm for Learning the Essential Graph
John M. Noble
This article presents an algorithm for learning the essential graph of a Bayesian network. The basis of the algorithm is the Maximum Minimum Parents and Children algorithm develope…