Results 131 to 140 of about 776,491 (337)
Online Learning in Kernelized Markov Decision Processes
22nd International Conference on Artificial Intelligence and Statistics (AISTATS ...
Chowdhury, Sayak Ray, Gopalan, Aditya
openaire +2 more sources
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang +8 more
wiley +1 more source
Addressing ecological challenges from a quantum computing perspective
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet +2 more
wiley +1 more source
Food Subsidies Reduce Livestock Depredations by a Recovering Carnivore
Diversionary feeding—providing food caches to divert predators away from preying on livestock—is a strategy to reduce depredations by Mexican gray wolves but has not been evaluated for its effectiveness. We used data from the Mexican wolf recovery program from 2014‐2021 to evaluate whether diversionary feeding reduced livestock depredations by wolf ...
Matthew Hyde +8 more
wiley +1 more source
The study examines the digital finance (DF) and regional sustainable development (RSD) across 90 cities within six major city clusters in China over the period from 2011 to 2020.
Qiguang An +4 more
doaj +1 more source
In this paper, we introduce a novel classification framework for hyperspectral images (HSIs) by jointly employing spectral, spatial, and hierarchical structure information.
Yi Wang, Hexiang Duan
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In this paper, we consider a symmetric pure jump Markov process $X$ on a general metric measure space that satisfies volume doubling conditions. We study estimates of the transition density $p(t,x,y)$ of $X$ and their stabilities when the jumping kernel ...
Bae, Joohak +3 more
core
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang +4 more
wiley +1 more source
This study uses the game theory combination weighting method to measure the level of coordinated development of green finance and digital technology coupling in China.
Ke Liu +4 more
doaj +1 more source

