Zobrazeno 1 - 10
of 2 690
pro vyhledávání: '"Hengartner, N."'
Publikováno v:
Commun. Phys. 6, 294 (2022)
One of the most notable features in repulsive particle based active matter systems is motility-induced-phase separation (MIPS) where a dense, often crystalline phase coexists with a low density fluid. In most active matter studies, the activity is ke
Externí odkaz:
http://arxiv.org/abs/2304.13686
Publikováno v:
Phys. Rev. E 107, 024604 (2023)
The Susceptible-Infected (SI) and Susceptible-Infected-Recovered (SIR) models provide two distinct representations of epidemic evolution, distinguished by the lack of spontaneous recovery in the SI model. Here we introduce a new active matter epidemi
Externí odkaz:
http://arxiv.org/abs/2210.07310
Publikováno v:
Sci. Rep. 12, 11229 (2022)
The widely used susceptible-infected-recovered (S-I-R) epidemic model assumes a uniform, well-mixed population, and incorporation of spatial heterogeneities remains a major challenge. Understanding failures of the mixing assumption is important for d
Externí odkaz:
http://arxiv.org/abs/2203.13341
We analyze the noise in macro-particle methods used in plasma physics and fluid dynamics, leading to approaches for minimizing the total error, focusing on electrostatic models in one dimension. We describe kernel density estimation for continuous va
Externí odkaz:
http://arxiv.org/abs/2102.02377
Autor:
Hamada, M. S., Graves, T. L., Hengartner, N. W., Higdon, D. M., Huzurbazar, A. V., Lawrence, E. C., Linkletter, C. D., Reese, C. S., Scott, D. W., Sitter, R. R., Warr, R. L., Williams, B. J.
This article presents a Bayesian inferential method where the likelihood for a model is unknown but where data can easily be simulated from the model. We discretize simulated (continuous) data to estimate the implicit likelihood in a Bayesian analysi
Externí odkaz:
http://arxiv.org/abs/2008.02926
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
J. Stat. Phys. 151, 458 (2013)
We study the effects of randomness on competitions based on an elementary random process in which there is a finite probability that a weaker team upsets a stronger team. We apply this model to sports leagues and sports tournaments, and compare the t
Externí odkaz:
http://arxiv.org/abs/1209.4724
Autor:
Fitzsimmons, M. R., Hengartner, N., Singh, S., Zhernenkov, M., Bruno, F. Y., Santamaria, J., Brinkman, A., Huijben, M., Molegraaf, H., de la Venta, J., Schuller, Ivan K.
Using polarized neutron reflectometry (PNR) we measured the neutron spin dependent reflectivity from four LaAlO3/SrTiO3 superlattices. This experiment implies that the upper limit for the magnetization induced by an 11 T magnetic field at 1.7 K is 2
Externí odkaz:
http://arxiv.org/abs/1109.1274
In multivariate nonparametric analysis, sparseness of the covariates also called curse of dimensionality, forces one to use large smoothing parameters. This leads to a biased smoother. Instead of focusing on optimally selecting the smoothing paramete
Externí odkaz:
http://arxiv.org/abs/1105.3605
This paper presents a practical and simple fully nonparametric multivariate smoothing procedure that adapts to the underlying smoothness of the true regression function. Our estimator is easily computed by successive application of existing base smoo
Externí odkaz:
http://arxiv.org/abs/1105.3430