Zobrazeno 1 - 10
of 312
pro vyhledávání: '"Schwartzman, Armin"'
Autor:
Eldar, Amitay, Waknin, Keren Mor, Davenport, Samuel, Bendory, Tamir, Schwartzman, Armin, Shkolnisky, Yoel
Detecting multiple unknown objects in noisy data is a key problem in many scientific fields, such as electron microscopy imaging. A common model for the unknown objects is the linear subspace model, which assumes that the objects can be expanded in s
Externí odkaz:
http://arxiv.org/abs/2405.00364
Historically, applications of RFT in fMRI have relied on assumptions of smoothness, stationarity and Gaussianity. The first two assumptions have been addressed in Part 1 of this article series. Here we address the severe non-Gaussianity of (real) fMR
Externí odkaz:
http://arxiv.org/abs/2312.10849
Let $(M,g)$ be a Riemannian manifold. If $\mu$ is a probability measure on $M$ given by a continuous density function, one would expect the Fr\'{e}chet means of data-samples $Q=(q_1,q_2,\dots, q_N)\in M^N$, with respect to $\mu$, to behave ``generica
Externí odkaz:
http://arxiv.org/abs/2309.13823
We study extensions of Fr\'{e}chet means for random objects in the space ${\rm Sym}^+(p)$ of $p \times p$ symmetric positive-definite matrices using the scaling-rotation geometric framework introduced by Jung et al. [\textit{SIAM J. Matrix. Anal. App
Externí odkaz:
http://arxiv.org/abs/2306.12025
We study asymptotic statistical inference in the space of bounded functions endowed with the supremums norm over an arbitrary metric space $S$ using a novel concept: Simultaneous COnfidence Region of Excursion (SCoRE) Sets. They simultaneously quanti
Externí odkaz:
http://arxiv.org/abs/2302.05139
We study power approximation formulas for peak detection using Gaussian random field theory. The approximation, based on the expected number of local maxima above the threshold $u$, $\mathbb{E}[M_u]$, is proved to work well under three asymptotic sce
Externí odkaz:
http://arxiv.org/abs/2301.04830
Motivated by the questions of risk assessment in climatology (temperature change in North America) and medicine (impact of statin usage and COVID-19 on hospitalized patients), we address the problem of estimating the set in the domain of a function w
Externí odkaz:
http://arxiv.org/abs/2210.03933
The analysis of excursion sets in imaging data is essential to a wide range of scientific disciplines such as neuroimaging, climatology and cosmology. Despite growing literature, there is little published concerning the comparison of processes that h
Externí odkaz:
http://arxiv.org/abs/2201.02743
Autor:
Hansen, Kristen, Schwartzman, Armin, Schwarz, Lara, Teyton, Anais, Basu, Rupa, Benmarhnia, Tarik
Publikováno v:
In Environmental Research 15 November 2024 261
Publikováno v:
In Journal of Multivariate Analysis November 2024 204