Modelling the sound production of narwhals using a point process framework with memory effects

DOI10.1214/20-AOAS1379zbMath1498.62254OpenAlexW3114102519MaRDI QIDQ2078791

Aleksander Søltoft-Jensen, Susanne Ditlevsen, Mads Peter Heide-Jørgensen

Publication date: 3 March 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/20-aoas1379

zbMATH Keywords

point processautoregressive processecologybehavioural data of marine mammalsbuzz and calllogistic regression with memorynarwhal

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Markov processes: estimation; hidden Markov models (62M05)

Uses Software

• R
• k.c

Cites Work

• Modeling the diving behavior of whales: a latent-variable approach with feedback and semi-Markovian components
• Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges
• Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales
• Analysis of neural data
• A multivariate mixed hidden Markov model for blue whale behaviour and responses to sound exposure

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