Improving Crop Model Inference Through Bayesian Melding With Spatially Varying Parameters [0.03%]
基于空间变化参数的贝叶斯模型平均改进作物模型推断
Andrew O Finley,Sudipto Banerjee,Bruno Basso
Andrew O Finley
An objective for applying a Crop Simulation Model (CSM) in precision agriculture is to explain the spatial variability of crop performance and to help guide decisions related to the site-specific management of crop inputs. CSMs require inpu...
Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data [0.03%]
复杂的空间依赖关系建模：具有应用土壤养分数据的低秩空间变化交叉协方差方法
Rajarshi Guhaniyogi,Andrew O Finley,Sudipto Banerjee et al.
Rajarshi Guhaniyogi et al.
Advances in geo-spatial technologies have created data-rich environments which provide extraordinary opportunities to understand the complexity of large and spatially indexed data in ecology and the natural sciences. Our current application...
Hierarchical Bayesian Integrated Modeling of Age- and Sex-Structured Wildlife Population Dynamics [0.03%]
分层贝叶斯综合模型在野生动物种群动态中的应用
Sabyasachi Mukhopadhyay,Hans-Peter Piepho,Sourabh Bhattacharya et al.
Sabyasachi Mukhopadhyay et al.
Biodiversity of large wild mammals is declining at alarming rates worldwide. It is therefore imperative to develop effective population conservation and recovery strategies. Population dynamics models can provide insights into processes dri...
New capture-recapture models of behavioral response for estimating the size of a closed animal population [0.03%]
一种新的抓捕-重捕模型：用于估计封闭动物种群大小的行为反应方法
Yuzi Zhang,Robert H Lyles
Yuzi Zhang
Capture-recapture (CRC) experiments conducted over discrete time points motivate the development of models characterizing animal behavioral responses to facilitate estimating sizes of closed animal populations. We propose a multinomial dist...
Multi-omics Integrative Analysis for Incomplete Data Using Weighted p-Value Adjustment Approaches [0.03%]
基于加权p值调整方法的不完整组学数据整合分析
Wenda Zhang,Zichen Ma,Yen-Yi Ho et al.
Wenda Zhang et al.
The advancements in high-throughput technologies provide exciting opportunities to obtain multi-omics data from the same individuals in a biomedical study, and joint analyses of data from multiple sources offer many benefits. However, the o...
Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows [0.03%]
纵向功能数据的分位数回归在母猪饲料摄入量中的应用研究
Maria Laura Battagliola,Helle Sørensen,Anders Tolver et al.
Maria Laura Battagliola et al.
This article focuses on the study of lactating sows, where the main interest is the influence of temperature, measured throughout the day, on the lower quantiles of the daily feed intake. We outline a model framework and estimation methodol...
A Bayesian Partial Membership Model for Multiple Exposures with Uncertain Group Memberships [0.03%]
具有不确定群体成员身份的多次暴露的贝叶斯部分隶属模型
Alexis E Zavez,Emeir M McSorley,Alison J Yeates et al.
Alexis E Zavez et al.
We present a Bayesian partial membership model that estimates the associations between an outcome, a small number of latent variables, and multiple observed exposures where the number of latent variables is specified a priori. We assign one...
Graham Hepworth,Brad J Biggerstaff
Graham Hepworth
In the estimation of proportions by pooled testing, the MLE is biased. Hepworth and Biggerstaff (JABES, 22:602-614, 2017) proposed an estimator based on the bias correction method of Firth (Biometrika 80:27-38, 1993) and showed that it is a...
The Role of Weather in Meningitis Outbreaks in Navrongo, Ghana: A Generalized Additive Modeling Approach [0.03%]
气象条件在加纳Navrongo地区流脑爆发中的作用：广义可加模型方法
Vanja Dukić,Mary Hayden,Tom Hopson et al.
Vanja Dukić et al.
Bacterial (meningococcal) meningitis is a devastating infectious disease with outbreaks occurring annually during the dry season in locations within the 'Meningitis Belt', a region in sub-Saharan Africa stretching from Ethiopia to Senegal. ...
Comparison of Models Analyzing a Small Number of Observed Meningitis Cases in Navrongo, Ghana [0.03%]
分析在加纳Navrongo观察到的少量流脑病例的模型比较研究
Y Hagar,M Hayden,C Wiedinmyer et al.
Y Hagar et al.
The "meningitis belt" is a region in sub-Saharan Africa where annual outbreaks of meningitis occur, with epidemics observed cyclically. While we know that meningitis is heavily dependent on seasonal trends, the exact pathways for contractin...