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Rejoinder on ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ 关于 "标记空间点过程：线性网络上点过程的现状与扩展
Journal of Agricultural, Biological and Environmental Statistics Pub Date : 2024-03-26 DOI: 10.1007/s13253-024-00613-1
Matthias Eckardt, Mehdi Moradi
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引用次数: 0
Inference for New Environmental Contours Using Extreme Value Analysis 利用极值分析推断新的环境轮廓线
Journal of Agricultural, Biological and Environmental Statistics Pub Date : 2024-03-18 DOI: 10.1007/s13253-024-00612-2
Emma S. Simpson, J. Tawn
{"title":"Inference for New Environmental Contours Using Extreme Value Analysis","authors":"Emma S. Simpson, J. Tawn","doi":"10.1007/s13253-024-00612-2","DOIUrl":"https://doi.org/10.1007/s13253-024-00612-2","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Multi-omics Integrative Analysis for Incomplete Data Using Weighted p-Value Adjustment Approaches 利用加权 p 值调整方法对不完整数据进行多组学综合分析
Journal of Agricultural, Biological and Environmental Statistics Pub Date : 2024-02-28 DOI: 10.1007/s13253-024-00603-3
Wenda Zhang, Zichen Ma, Yen-Yi Ho, Shuyi Yang, Joshua Habiger, Hsin-Hsiung Huang, Yufei Huang
{"title":"Multi-omics Integrative Analysis for Incomplete Data Using Weighted p-Value Adjustment Approaches","authors":"Wenda Zhang, Zichen Ma, Yen-Yi Ho, Shuyi Yang, Joshua Habiger, Hsin-Hsiung Huang, Yufei Huang","doi":"10.1007/s13253-024-00603-3","DOIUrl":"https://doi.org/10.1007/s13253-024-00603-3","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"14 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Joint Spatial Modeling Bridges the Gap Between Disparate Disease Surveillance and Population Monitoring Efforts Informing Conservation of At-risk Bat Species 联合空间建模弥合了不同疾病监测和种群监测工作之间的差距，为保护高危蝙蝠物种提供信息
Journal of Agricultural, Biological and Environmental Statistics Pub Date : 2024-02-24 DOI: 10.1007/s13253-023-00593-8
Christian Stratton, K. Irvine, Katharine M. Banner, E. Almberg, Dan Bachen, Kristina Smucker
{"title":"Joint Spatial Modeling Bridges the Gap Between Disparate Disease Surveillance and Population Monitoring Efforts Informing Conservation of At-risk Bat Species","authors":"Christian Stratton, K. Irvine, Katharine M. Banner, E. Almberg, Dan Bachen, Kristina Smucker","doi":"10.1007/s13253-023-00593-8","DOIUrl":"https://doi.org/10.1007/s13253-023-00593-8","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"41 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140435212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Individual-Based Spatial Epidemiological Model for the Spread of Plant Diseases 基于个体的植物病害传播空间流行病学模型
Journal of Agricultural, Biological and Environmental Statistics Pub Date : 2024-02-23 DOI: 10.1007/s13253-024-00604-2
M. Cendoya, Ana Navarro-Quiles, A. López-Quílez, Antonio Vicent, David Conesa
{"title":"An Individual-Based Spatial Epidemiological Model for the Spread of Plant Diseases","authors":"M. Cendoya, Ana Navarro-Quiles, A. López-Quílez, Antonio Vicent, David Conesa","doi":"10.1007/s13253-024-00604-2","DOIUrl":"https://doi.org/10.1007/s13253-024-00604-2","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"27 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140435301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatial Wildfire Risk Modeling Using a Tree-Based Multivariate Generalized Pareto Mixture Model 利用基于树木的多变量广义帕累托混合模型建立空间野火风险模型
Journal of Agricultural, Biological and Environmental Statistics Pub Date : 2024-02-21 DOI: 10.1007/s13253-023-00596-5
Daniela Cisneros, A. Hazra, Raphael Huser
{"title":"Spatial Wildfire Risk Modeling Using a Tree-Based Multivariate Generalized Pareto Mixture Model","authors":"Daniela Cisneros, A. Hazra, Raphael Huser","doi":"10.1007/s13253-023-00596-5","DOIUrl":"https://doi.org/10.1007/s13253-023-00596-5","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"229 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140443727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Order Restricted Randomized Block Designs 限序随机区组设计
Journal of Agricultural, Biological and Environmental Statistics Pub Date : 2023-12-19 DOI: 10.1007/s13253-023-00590-x
Omer Ozturk, Richard Jarrett, Olena Kravchuk
{"title":"Order Restricted Randomized Block Designs","authors":"Omer Ozturk, Richard Jarrett, Olena Kravchuk","doi":"10.1007/s13253-023-00590-x","DOIUrl":"https://doi.org/10.1007/s13253-023-00590-x","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"286 1","pages":"1-22"},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139171826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Review of “Numerical Methods in Environmental Data Analysis” by Moses Eterigho Emetere Moses Eterigho Emetere 所著《环境数据分析中的数值方法》评论
Journal of Agricultural, Biological and Environmental Statistics Pub Date : 2023-11-23 DOI: 10.1007/s13253-023-00587-6
Mudarris Mudarris, Desy Permatasari
{"title":"Review of “Numerical Methods in Environmental Data Analysis” by Moses Eterigho Emetere","authors":"Mudarris Mudarris, Desy Permatasari","doi":"10.1007/s13253-023-00587-6","DOIUrl":"https://doi.org/10.1007/s13253-023-00587-6","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"1 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139243649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data 利用图像数据的深度神经网络识别林孔虫物种和新类别检测
Journal of Agricultural, Biological and Environmental Statistics Pub Date : 2023-11-15 DOI: 10.48550/arXiv.2311.08661
Li Xu, Yili Hong, Eric P. Smith, David S. McLeod, Xinwei Deng, Laura J. Freeman
{"title":"Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data","authors":"Li Xu, Yili Hong, Eric P. Smith, David S. McLeod, Xinwei Deng, Laura J. Freeman","doi":"10.48550/arXiv.2311.08661","DOIUrl":"https://doi.org/10.48550/arXiv.2311.08661","url":null,"abstract":"As is true of many complex tasks, the work of discovering, describing, and understanding the diversity of life on Earth (viz., biological systematics and taxonomy) requires many tools. Some of this work can be accomplished as it has been done in the past, but some aspects present us with challenges which traditional knowledge and tools cannot adequately resolve. One such challenge is presented by species complexes in which the morphological similarities among the group members make it difficult to reliably identify known species and detect new ones. We address this challenge by developing new tools using the principles of machine learning to resolve two specific questions related to species complexes. The first question is formulated as a classification problem in statistics and machine learning and the second question is an out-of-distribution (OOD) detection problem. We apply these tools to a species complex comprising Southeast Asian stream frogs ( Limnonectes kuhlii complex) and employ a morphological character (hind limb skin texture) traditionally treated qualitatively in a quantitative and objective manner. We demonstrate that deep neural networks can successfully automate the classification of an image into a known species group for which it has been trained. We further demonstrate that the algorithm can successfully classify an image into a new class if the image does not belong to the existing classes. Additionally, we use the larger MNIST dataset to test the performance of our OOD detection algorithm. We finish our paper with some concluding remarks regarding the application of these methods to species complexes and our efforts to document true biodiversity.","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"26 3","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139273638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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