Zobrazeno 1 - 10
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pro vyhledávání: '"Meyer, Mark A."'
Autor:
Meyer, Mark
For a compact set $A$ in $\mathbb{R}^n$ the Hausdorff distance from $A$ to $\text{conv}(A)$ is defined by \begin{equation*} d(A):=\sup_{a\in\text{conv}(A)}\inf_{x\in A}|x-a|, \end{equation*} where for $x=(x_1,\dots,x_n)\in\mathbb{R}^n$ we use the not
Externí odkaz:
http://arxiv.org/abs/2407.07033
Autor:
Meyer, Mark J., Wei, Junyi
Variational regression methods are an increasingly popular tool for their efficient estimation of complex. Given the mixed model representation of penalized effects, additive regression models with smoothed effects and scalar-on-function regression m
Externí odkaz:
http://arxiv.org/abs/2406.08168
Autor:
Meyer, Mark
In recent work, Franck Barthe and Mokshay Madiman introduced the concept of the Lyusternik region, denoted by $\Lambda_{n}(m)$, to better understand volumes of sumsets. They gave a characterization of $\Lambda_{n}(2)$ (the volumes of compact sets in
Externí odkaz:
http://arxiv.org/abs/2405.00221
Autor:
Meyer, Mark
While studying set function properties of Lebesgue measure, F. Barthe and M. Madiman proved that Lebesgue measure is fractionally superadditive on compact sets in $\mathbb{R}^n$. In doing this they proved a fractional generalization of the Brunn-Mink
Externí odkaz:
http://arxiv.org/abs/2307.07097
Autor:
Meyer, Mark J.
Nonparametric tests for functional data are a challenging class of tests to work with because of the potentially high dimensional nature of the data. One of the main challenges for considering rank-based tests, like the Mann-Whitney or Wilcoxon Rank
Externí odkaz:
http://arxiv.org/abs/2306.14761
Variational inference is an alternative estimation technique for Bayesian models. Recent work shows that variational methods provide consistent estimation via efficient, deterministic algorithms. Other tools, such as model selection using variational
Externí odkaz:
http://arxiv.org/abs/2206.04012
Multivariate matched proportions (MMP) data appears in a variety of contexts including post-market surveillance of adverse events in pharmaceuticals, disease classification, and agreement between care providers. It consists of multiple sets of paired
Externí odkaz:
http://arxiv.org/abs/2108.04096
Autor:
Zhu, Shilin, Xu, Zexiang, Sun, Tiancheng, Kuznetsov, Alexandr, Meyer, Mark, Jensen, Henrik Wann, Su, Hao, Ramamoorthi, Ravi
Although Monte Carlo path tracing is a simple and effective algorithm to synthesize photo-realistic images, it is often very slow to converge to noise-free results when involving complex global illumination. One of the most successful variance-reduct
Externí odkaz:
http://arxiv.org/abs/2010.01775
Autor:
Zemplenyi, Michele, Meyer, Mark J., Cardenas, Andres, Hivert, Marie-France, Rifas-Shiman, Sheryl L., Gibson, Heike, Kloog, Itai, Schwartz, Joel, Oken, Emily, DeMeo, Dawn L., Gold, Diane R., Coull, Brent A.
The ability to identify time periods when individuals are most susceptible to exposures, as well as the biological mechanisms through which these exposures act, is of great public health interest. Growing evidence supports an association between pren
Externí odkaz:
http://arxiv.org/abs/1912.07359
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