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机译:贝叶斯占用模型中的先验规范可改善对物种发生数据的分析
Centre for Ecology & Hydrology,Centre for Biodiversity and Environment Research, University College London,RSPB Centre for Conservation Science, RSPB;
Department of Statistical Science, University College London;
Centre for Ecology & Hydrology;
Centre for Biodiversity and Environment Research, University College London;
Centre for Biodiversity and Environment Research, University College London,RSPB Centre for Conservation Science, RSPB;
Centre for Ecology & Hydrology,Centre for Biodiversity and Environment Research, University College London;
Biodiversity indicator; Bayesian occupancy model; Multi-species indicator; Priors; Species occurrence; Biological records; Biodiversity targets;
机译:结合声学监测和居住模型,改善濒危物种的分布数据
机译:纵向和事件时间数据的惩罚样条联合模型的贝叶斯推断:先验灵敏度分析
机译:多元层次贝叶斯模型和调查数据分析中的先验选择
机译:贝叶斯模型平均的案例推理:微阵列数据生存分析的一种改进方法
机译:Swift Fox(Vulpees Velox),西部挖洞猫头鹰(八烯丝般的vervaea)和山地珩科鸟(Charadrius Montanus)上的山峰(Cynomys Ludovicianus)殖民地的殖民地概况和分层占用分析
机译:评估贝叶斯空间方法,用成簇和受限发生数据建模物种分布
机译:贝叶斯占用建模的先前规范改善了物种发生数据的分析