JABES

JABES is a joint publication of the IBS and ASA, contributing to the development of statistical methods in agricultural, biological and environmental sciences

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Find the article here: https://t.co/jIAkXf8j6C

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A Markov-switching linked autoregressive model is proposed to forecast non-continuous wind direction data. It has proven to have a higher prediction accuracy than existing models by using real data and realising the distribution of wind direction is disjunct and multi-modal.

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Find the article here: https://t.co/Ls8F8qdHpu

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A collaboration between @UniKentSEaK @BumblebeeTrust @RichardComont & @CEHScienceNews, this paper presents the first dynamic mixture model for monitoring bumblebee populations, motivated by the UK citizen science scheme BeeWalk (https://t.co/8Cb8YIQj50).

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An innovative method of estimation based on data whitening and Lasso criterion to assess change points in plant phenology and its variability between plants within a canopy. The method was first tested on simulated data and then applied to real data of oilseed rape development.

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Here, we develop a new model for 210Pb dating, where ages, supported and unsupported 210Pb are part of the parameters obtaining more robust, realistic and statistically better defined age estimates. https://t.co/WwDKmzf6HI

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Read the article at: https://t.co/qxRbI2eqmy

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The OCO-2 satellite measure radiances that are transformed into estimation of atmospheric CO2 concentration using Bayes Theorem. This paper uses diagnostic tools and proper scoring rules to compare optimal estimation (OE) to a full exploration of the posterior via MCMC.

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Bayesian hierarchical linear unmixing (BHLU) models provide reliable estimates of botanical composition (forage mixtures) using plant-wax markers, and may be a reasonable alternative to nonnegative least squares (NNLS)

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Nearly 100 years ago Fisher was interested in bias in systematic Latin square designs. Here we extend this idea to spatial designs. Read more at: https://t.co/KzooeZQcH9

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We propose a bivariate extension to Royle's N-mixture model and illustrate our approach using an example with bald eagles and mallards. Read more at: https://t.co/e58u75MEVf

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Computational burden can be significantly reduced for reduced-rank multivariate emulators of hydrological models while maintaining high accuracy. Read the article at https://t.co/UFB7nrREXw

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We propose a score test for over-dispersion in a marginalized
zero-inflated negative binomial regression against its Poisson
counterpart. https://t.co/vlVSDS50cf

[JABES @JabesEditor]

Fisher's optimal scores extended to visualise optimally main and interaction effects in two-way tables with a categorical response. See DOI: 10.1007/s13253-017-0311-8.

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We extend the popular `step & turn' approach to movement modelling into continuous time: https://t.co/ANgrmGCBfJ

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Multiple imputation can efficiently account for measurement error and missing data in HMMs of animal movement: https://t.co/llCBdVpJvJ

[JABES @JabesEditor]

Multiple imputation can efficiently account for measurement error and missing data in HMMs of animal movement: https://t.co/llCBdVpJvJ

[JABES @JabesEditor]

Read the article here: https://t.co/4fd3Wcidep

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How does one select the number of states in an HMM? Pohle et al.
discuss pitfalls, practical challenges and pragmatic solutions.

[JABES @JabesEditor]

Model animal movement & general behavior data at multiple time scales using hierarchical hidden Markov models: https://t.co/wJ9PPBhWvJ