Estimating Occupancy and Fitting Models with the Two-Stage Approach

DOI10.1007/978-981-15-1960-4_5zbMath1445.62331OpenAlexW2998084876MaRDI QIDQ3305486

N. Karavarsamis

Publication date: 7 August 2020

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-15-1960-4_5

zbMATH Keywords

occupancypartial likelihoodheterogeneousimperfect detectiongeneralised additive model (GAM)generalised linear model (GLM)zero inflated binomial ZIB

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Statistical aspects of big data and data science (62R07)

Uses Software

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• VGAM
• WinBUGS
• gamair
• unmarked
• bestglm

Cites Work

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• Vector generalized linear and additive models. With an implementation in R
• Modeling demographic processes in marked populations
• Two-stage approaches to the analysis of occupancy data. II: The heterogeneous model and conditional likelihood
• Calibration and empirical Bayes variable selection
• Comparison of Four Bootstrap-Based Interval Estimators of Species Occupancy and Detection Probabilities
• METHODS FOR ESTIMATING OCCUPANCY
• On the statistical analysis of capture experiments
• Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
• Site Occupancy Models with Heterogeneous Detection Probabilities

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