Results 111 to 120 of about 96,717 (274)
Randomly sparsified Richardson iteration: A dimension‐independent sparse linear solver
Abstract Recently, a class of algorithms combining classical fixed‐point iterations with repeated random sparsification of approximate solution vectors has been successfully applied to eigenproblems with matrices as large as 10108×10108$10^{108} \times 10^{108}$. So far, a complete mathematical explanation for this success has proven elusive.
Jonathan Weare, Robert J. Webber
wiley +1 more source
Optimal dividends in a discrete-time dual risk model with stochastic expenses
Dividend policies play a pivotal role in financial management by aiming to maximize shareholders' interest and effectively managing risk. In this paper, we explore the optimal dividend strategy in a discrete-time compound binomial dual risk framework ...
Li Deng, Zhichao Chen
doaj +1 more source
Food Subsidy Effects on Host Foraging Behavior Shape Host–Macroparasite Infection Dynamics
Wildlife behavioral responses to different distributions of food subsidies could shape encounter and infection intensity of environmentally transmitted parasites. Using a mathematical model, we show that the way in which food subsidy changes transmission rate and variation in parasite burdens (e.g., through changes in time spent foraging and variation ...
Brendan B. Haile +5 more
wiley +1 more source
Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model
ABSTRACT Bounded count data are commonly encountered in environmental studies. This paper examines two environmental applications illustrating their relevance. The first investigates the effect of winter malnutrition on mule deer (Odocoileus hemionus) fawn mortality.
Arnoldus F. Otto +5 more
wiley +1 more source
Some special functions and cylindrical diffusion equation on α-time scale
This article is dedicated to present various concepts on α\alpha -time scale, including power series, Taylor series, binomial series, exponential function, gamma function, and Bessel functions of the first kind.
Silindir Burcu +3 more
doaj +1 more source
ABSTRACT Classic Bayesian methods with complex environmental models are frequently infeasible due to an intractable likelihood. Simulation‐based inference methods, such as neural posterior estimation, calculate posteriors without accessing a likelihood function by leveraging the fact that data can be quickly simulated from the model, but converge ...
Elliot Maceda +3 more
wiley +1 more source
Purpose. This paper illustrates how the adoption of a Bayesian beta-binomial model can improve statistical inference techniques and, consequently, the reliability of decisions based on the outcomes of food safety sampling plans.
Cesare Ciccarelli
doaj +1 more source
Global climate change has intensified extreme weather events, including short‐duration but intense rainfall, which can significantly impact avian reproduction. This study examines the effects of extreme rainfall on the reproductive phenology and performance of the European roller Coracias garrulus, a single‐brooded migratory bird, in a semiarid ...
Radovan Václav +3 more
wiley +1 more source

