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科学数据
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Data from: Markov switching autoregressive models for interpreting vertical movement data with application to an endangered marine apex predator
- 负责人：
- 关键词：
- Markov Switching Autoregressive Models Flapper skate Vertical movement data Marine apex predator data storage tags individual behaviour label switching long memory process non-homogenous hidden Markov chains non-linear time series
- 摘要：
- , high-frequency data sequences often pose non-trivial problems in time series analysis: non-linearity, non-Normality, non-stationarity, and long memory. These issues
Data from: Joint modelling of multi-scale animal movement data using hierarchical hidden Markov models
- 负责人：
- Lowe, Christopher G.; Meese, Emily N.
- 关键词：
- 摘要：
- ;3. We propose hierarchical hidden Markov models as a versatile statistical framework that naturally accounts for differing temporal resolutions across multiple
Data from: Consistency of VDJ rearrangement and substitution parameters enables accurate B cell receptor sequence annotation
- 负责人：
- 摘要：
- distributions to model transitions from state to state in a hidden Markov model (HMM) of VDJ recombination, and assumed that mutations occur via the same process
Data from: State-space modelling of the flight behaviour of a soaring bird provides new insights to migratory strategies
- 负责人：
- Pirotta, Enrico
- 关键词：
- 3D states GPS-GSM telemetry hidden state model Markov chain Monte Carlo movement ecology raptor subsidised flight
- 摘要：
- in three dimensions were paired with topographical information and used in a Bayesian state-space model to describe the flight modes of migrating golden eagles
Data from: Stochastic character mapping of state-dependent diversification reveals the tempo of evolutionary decline in self-compatible Onagraceae
- 负责人：
- 关键词：
- Onagraceae
- 摘要：
- mating system evolution over a time-calibrated phylogeny of the plant family Onagraceae. Utilizing a hidden state SSE model we tested the association of the loss of sel
Data from: Estimation of individual growth trajectories when repeated measures are missing
- 负责人：
- 摘要：
- trajectories. We show that state-space models (SSMs), fit using R package growmod, are far less biased than LMMs when fit to simulated datasets with missing
Data from: Repeatability of circadian behavioural variation revealed in free-ranging marine fish
- 负责人：
- Alós, Josep
- 关键词：
- Acoustic tracking Circadian clocks Behavioural syndrome Chronotypes Hidden Markov Models Repeatability
- 摘要：
- razorfish, Xyrithchys novacula, facilitated by acoustic tracking technology and hidden Markov models. In addition, daily travelled distance, a sta
Data from: Sex-specific and individual preferences for hunting strategies in white sharks
- 负责人：
- 关键词：
- 2010-2014;foraging mode;acoustic telemetry;predator-prey;fine scale movement;Carcharodon carcharias
- 摘要：
- but there has been less focus on the strategies they use to encounter prey. We applied mixed hidden Markov models to acoustic tracking data of white
Data from: Making use of multiple surveys: estimating breeding probability using a multievent-robust design capture-recapture model
- 负责人：
- Oosthuizen, W. Chris
- 关键词：
- intermittent breeding breeding propensity auxiliary data incidental observations robust design multievent capture-recapture
- 摘要：
- probabilities than non-breeders). We used program E-SURGE (2.1.2) to fit the multievent-robust design models, with uncertainty in breeding state assignment
Data from: Analysis of animal accelerometer data using hidden Markov models
- 负责人：
- Leos-Barajas, Vianey
- 摘要：
- e largely relied on hidden Markov models (HMMs). Depending on the aim of an analysis, an HMM can be used for state prediction or to make inferences
