CORRECTION NOTE: POISSON POINT PROCESS MODELS SOLVE THE 'PSEUDO-ABSENCE PROBLEM' FOR PRESENCE-ONLY DATA IN ECOLOGY

DAVID I. WARTON; LEAH C. SHEPHERD

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CORRECTION NOTE: POISSON POINT PROCESS MODELS SOLVE THE 'PSEUDO-ABSENCE PROBLEM' FOR PRESENCE-ONLY DATA IN ECOLOGY

机译：更正说明：泊松点过程模型解决了仅存在于生态学中的数据的“伪缺失问题”

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Due to a printing problem, Figure 1 on page 1384 of Warton and Shepherd (2010) appears incorrectly in the print version of The Annals of Applied Statistics. The correct figure is below.

机译：由于打印问题，Warton and Shepherd（2010）第1384页的图1在《应用统计年鉴》的印刷版中显示不正确。正确的数字如下。

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《The Annals of applied statistics》 |2010年第4期|共2页
作者
DAVID I. WARTON; LEAH C. SHEPHERD;
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正文语种 eng
中图分类高等数学;
关键词
Habitat modeling; quadrature points; occurrence data; pseudo-absences; species distribution modeling;

机译：栖息地建模;正交点;发生数据;假性缺失;物种分布建模;

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专利

1. CORRECTION NOTE: POISSON POINT PROCESS MODELS SOLVE THE "PSEUDO-ABSENCE PROBLEM" FOR PRESENCE-ONLY DATA IN ECOLOGY [J] . DAVID I. WARTON, LEAH C. SHEPHERD The Annals of applied statistics . 2010,第4期

机译：更正说明：泊松点过程模型解决了仅存在于生态学中的数据的“伪缺失问题”
2. POISSON POINT PROCESS MODELS SOLVETHE "PSEUDO-ABSENCE PROBLEM" FORPRESENCE-ONLY DATA IN ECOLOGY' [J] . DAVID I. WARTON, LEAH C. SHEPHERD The Annals of applied statistics . 2010,第3期

机译：泊松点过程模型解决了仅存在数据在生态学中的“伪缺席问题”
3. Solving ML equations for 2-parameter Poisson-process models for ungrouped software-failure data [J] . Knafl G.J., Morgan J. IEEE Transactions on Reliability . 1996,第1期

机译：求解未分组软件故障数据的2参数泊松过程模型的ML方程
4. Data Augmentation Approach in Bayesian Modelling of Presence-only Data [C] . F. Divino, N. Golini, G. Jona Lasinio International Conference on Spatial Statistics . 2011

机译：贝叶斯建模的数据增强方法
5. Poisson Process Bandits: Sequential Models and Algorithms for Maximising the Detection of Point Process Data [D] . Grant, James Andrew. 2019

机译：Poisson Process Barits：序列模型和算法，用于最大化点处理数据的检测
6. Model-Based Control of Observer Bias for the Analysis of Presence-Only Data in Ecology [O] . David I. Warton, Ian W. Renner, Daniel Ramp -1

机译：基于模型的观测者偏差控制用于生态学中仅存在数据的分析
7. Correction note: Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology [O] . David I. Warton, Leah C. Shepherd 2010

机译：校正注意事项：泊松点流程模型解决了生态存在数据的“伪缺失问题”

CORRECTION NOTE: POISSON POINT PROCESS MODELS SOLVE THE 'PSEUDO-ABSENCE PROBLEM' FOR PRESENCE-ONLY DATA IN ECOLOGY

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