1 citations · 1 across the 3 of their papers we have counts for
3 papers
On the peak height distribution of non-stationary Gaussian random fields: 1D general covariance and scale space
Yu Zhao, Dan Cheng, Samuel Davenport +1
We study the peak height distribution of certain non-stationary Gaussian random fields. The explicit peak height distribution of smooth, non-stationary Gaussian processes in 1D wit…
Peak Inference for Gaussian Random Fields on a Lattice
Tuo Lin, Armin Schwartzman, Samuel Davenport
In this work we develop a Monte Carlo method to compute the height distribution of local maxima of a stationary Gaussian or Gaussian-related random field that is observed on a regu…
Confidence regions for the location of peaks of a smooth random field
Samuel Davenport, Thomas E. Nichols, Armin Schwarzman
Local maxima of random processes are useful for finding important regions and are routinely used, for summarising features of interest (e.g. in neuroimaging). In this work we provi…