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Bayesian regularization: From Tikhonov to horseshoe Early View

  • Journal: WIREs Computational Statistics
  • Authors: Nicholas G. Polson, Vadim Sokolov
  • Published Date: Apr 23, 2019

Bayesian regularization is a central tool in modern‐day statistical and machine learning methods. Many applications involve high‐dimensional sparse signal recovery problems. The goal of our paper is...

On the differences between mega‐ and meta‐imputation and analysis exemplified on the genetics of age‐related macular degeneration Early View

  • Journal: Genetic Epidemiology
  • Authors: Mathias Gorski, Felix Günther, Thomas W. Winkler, Bernhard H. F. Weber, Iris M. Heid
  • Published Date: Apr 23, 2019

Abstract While current genome‐wide association analyses often rely on meta‐analysis of study‐specific summary statistics, individual participant data (IPD) from multiple studies increase options for...

Vanishing of cohomology groups of random simplicial complexes Early View

  • Journal: Random Structures & Algorithms
  • Authors: Oliver Cooley, Nicola Del Giudice, Mihyun Kang, Philipp Sprüssel
  • Published Date: Apr 23, 2019

We consider k‐dimensional random simplicial complexes generated from the binomial random (k + 1)‐uniform hypergraph by taking the downward‐closure. For 1 ≤ j ≤ k − 1, we determine when all cohomology...

Recent advances in hyperspectral imaging for melanoma detection Early View

  • Journal: WIREs Computational Statistics
  • Authors: Thomas Haugland Johansen, Kajsa Møllersen, Samuel Ortega, Himar Fabelo, Aday Garcia, Gustavo M. Callico, Fred Godtliebsen
  • Published Date: Apr 22, 2019

Abstract Skin cancer is one of the most common types of cancer. Skin cancers are classified as nonmelanoma and melanoma, with the first type being the most frequent and the second type being the most...

Insurance risk assessment in the face of climate change: Integrating data science and statistics Early View

  • Journal: WIREs Computational Statistics
  • Authors: Vyacheslav Lyubchich, Nathaniel K. Newlands, Azar Ghahari, Tahir Mahdi, Yulia R. Gel
  • Published Date: Apr 17, 2019

Local extreme weather events cause more insurance losses overall than large natural disasters. The evidence is provided by long‐term observations of weather and insurance records that are also a...

Bootstrap percolation with inhibition Early View

  • Journal: Random Structures & Algorithms
  • Authors: Hafsteinn Einarsson, Johannes Lengler, Frank Mousset, Konstantinos Panagiotou, Angelika Steger
  • Published Date: Apr 16, 2019

We study a variant of the classical bootstrap percolation process on Erdős Rényi random graphs. The graphs we consider have inhibitory vertices obstructing the diffusion of activity and excitatory...

Swendsen‐Wang dynamics for general graphsin the tree uniqueness region Early View

  • Journal: Random Structures & Algorithms
  • Authors: Antonio Blanca, Zongchen Chen, Eric Vigoda
  • Published Date: Apr 16, 2019

The Swendsen‐Wang (SW) dynamics is a popular Markov chain for sampling from the Gibbs distribution for the ferromagnetic Ising model on a graph G = (V,E). The dynamics is conjectured to converge to...

Slightly subcritical hypercube percolation Early View

  • Journal: Random Structures & Algorithms
  • Authors: Tim Hulshof, Asaf Nachmias
  • Published Date: Apr 16, 2019

We study bond percolation on the hypercube {0,1}m in the slightly subcritical regime where p = pc(1 − εm) and εm = o(1) but εm ≫ 2−m/3 and study the clusters of largest volume and diameter. We...

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