Results 21 to 30 of about 108,591 (231)
Posterior contraction rates for support boundary recovery [PDF]
, 2020 Given a sample of a Poisson point process with intensity $\lambda_f(x,y) = n \mathbf{1}(f(x) \leq y),$ we study recovery of the boundary function $f$ from a nonparametric Bayes perspective.
Reiss, Markus, Schmidt-Hieber, Johannes
core +3 more sources
Invertibility of symmetric random matrices [PDF]
, 2011 We study n by n symmetric random matrices H, possibly discrete, with iid above-diagonal entries. We show that H is singular with probability at most exp(-n^c), and the spectral norm of the inverse of H is O(sqrt{n}).
Alon +19 more
core +3 more sources
Household epidemic models with varying infection response [PDF]
, 2010 This paper is concerned with SIR (susceptible $\to$ infected $\to$ removed) household epidemic models in which the infection response may be either mild or severe, with the type of response also affecting the infectiousness of an individual.
Ball, Frank, Britton, Tom, Sirl, David
core +5 more sources
Journal of Magnesium and AlloysHierarchical porous MgO is a promising adsorbent for dye removal because of its large Brunauer–Emmett–Teller specific surface area (SBET) and abundant low-coordinated oxygen anions (LCO) sites.
Jie Xu +8 more
doaj +1 more source
A combinatorial approach to small ball inequalities for sums and differences
, 2018 Small ball inequalities have been extensively studied in the setting of Gaussian processes and associated Banach or Hilbert spaces. In this paper, we focus on studying small ball probabilities for sums or differences of independent, identically ...
Li, Jiange, Madiman, Mokshay
core +1 more source
Boundary non-crossings of Brownian pillow [PDF]
, 2008 Let B_0(s,t) be a Brownian pillow with continuous sample paths, and let h,u:[0,1]^2\to R be two measurable functions. In this paper we derive upper and lower bounds for the boundary non-crossing probability \psi(u;h):=P{B_0(s,t)+h(s,t) \le u(s,t ...
A. Janssen +28 more
core +2 more sources
Extreme robustness of scaling in sample space reducing processes explains Zipf's law in diffusion on directed networks [PDF]
, 2016 It has been shown recently that a specific class of path-dependent stochastic processes, which reduce their sample space as they unfold, lead to exact scaling laws in frequency and rank distributions.
Corominas-Murtra, Bernat +2 more
core +2 more sources
Optimal quantization of probabilities concentrated on small balls [PDF]
Forum Mathematicum, 2010 Summary: We consider probability distributions which are uniformly distributed on a disjoint union of balls with equal radius. For small enough radius the optimal quantization error is calculated explicitly in terms of the ball centroids. We apply the results to special self-similar measures.
openaire +3 more sources
Small ball probability estimates for log-concave measures [PDF]
Transactions of the American Mathematical Society, 2011 We establish a small ball probability inequality for isotropic log \log -concave probability measures: there exist absolute constants c 1 , c 2 > 0 c_{1}, c_{2}>0 such that if X
openaire +2 more sources
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source