Zobrazeno 1 - 10
of 74 277
pro vyhledávání: '"population models"'
Autor:
Barraquand, Frédéric
Integrated population models (IPMs) combine multiple ecological data types such as capture-mark-recapture histories, reproduction surveys, and population counts into a single statistical framework. In such models, each data type is generated by a pro
Externí odkaz:
http://arxiv.org/abs/2411.01877
In this paper, we study a class of population models with time-varying factors, represented by one-dimensional piecewise smooth autonomous differential equations. We provide several derivative formulas in "discrete" form for the Poincar\'{e} map of s
Externí odkaz:
http://arxiv.org/abs/2410.21848
Autor:
Park, Minjung, Conroy, Charlie, Johnson, Benjamin D., Leja, Joel, Dotter, Aaron, Cargile, Phillip A.
We present new stellar population models, $\alpha$-MC, self-consistently taking into account non-solar $\rm [\alpha/Fe]$ abundances for both isochrones and stellar spectra. The $\alpha$-MC models are based on $\alpha$-enhanced MIST isochrones and C3K
Externí odkaz:
http://arxiv.org/abs/2410.21375
Autor:
Shu, Axiu1 (AUTHOR), Li, Xiaoliang2 (AUTHOR) lixiaoliang@zafu.edu.cn, Du, Bo3 (AUTHOR) lixiaoliang@zafu.edu.cn
Publikováno v:
Symmetry (20738994). Oct2024, Vol. 16 Issue 10, p1399. 15p.
Autor:
Wang, Haiyan
This paper analyzes the stationary distributions of populations governed by the discrete stochastic logistic and Ricker difference equations at equilibrium examines with the gamma distribution. We identify mathematical relationships between the intri
Externí odkaz:
http://arxiv.org/abs/2411.15859
Autor:
Wang, Haiyan
Stochastic models play an essential role in accounting for the variability and unpredictability seen in real-world. This paper focuses on the application of the gamma distribution to analysis of the stationary distributions of populations governed by
Externí odkaz:
http://arxiv.org/abs/2411.10167
Autor:
Hughes, Thomas, Lin, Jessica
We present a general framework which can be used to prove that, in an annealed sense, rescaled spatial stochastic population models converge to generalized propagating fronts. Our work is motivated by recent results of Etheridge, Freeman, and Peningt
Externí odkaz:
http://arxiv.org/abs/2408.02817