Journal: Heliyon

Article Title: The role of parameters in Bayesian Online Changepoint Detection: detecting early warning of mount Merapi eruptions

doi: 10.1016/j.heliyon.2021.e07482

Figure Lengend Snippet: The run-length results by applying BOCPD using 1-day data with λ = 20, α 0 = 1, and β 0 = 1. These parameters could not be used to detect early warning of mount Merapi eruption because the data consists of four eruptions. Meanwhile, these parameters are resulting in 125 changepoints detection. The number of eruptions is too far from the number of changepoints. We need appropriate parameters of BOCPD to produce minimum changepoints (at least one changepoint before an eruption).

Article Snippet: The changepoint for early warning in our research uses Bayesian Online Changepoint Detection (BOCPD) method.

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Journal: Ecology and Evolution

Article Title: Year‐round weather alters nest‐provisioning rates in a migratory owl

doi: 10.1002/ece3.10333

Figure Lengend Snippet: Bayesian linear model (beta distribution) of the proportion of prey deliveries given by the female throughout the night (top) and throughout the nestling period (bottom). Solid and dashed lines represent the fitted value computed using the mean of posteriors, and shaded ribbons represent the 95% credible interval of posteriors. Wet = green/solid, dry = yellow/dashed, warm = red/dashed, cold = blue/solid.

Article Snippet: To assess the effects of precipitation and temperature on owlet growth, we used a Bayesian linear mixed effects model (Gaussian distribution) with a single changepoint, with nestling age as the fixed effect and mass as the response variable.

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Journal: Ecology and Evolution

Article Title: Year‐round weather alters nest‐provisioning rates in a migratory owl

doi: 10.1002/ece3.10333

Figure Lengend Snippet: Bayesian linear mixed effects model (gaussian distribution) of adult female (top) and male (bottom) mass (g) throughout the nestling period. Solid and dashed lines represent the fitted value computed using the mean of posteriors, and shaded ribbons represent the 95% credible interval of posteriors. Wet = green/solid, dry = yellow/dashed, warm = red/dashed, cold = blue/solid.

Article Snippet: To assess the effects of precipitation and temperature on owlet growth, we used a Bayesian linear mixed effects model (Gaussian distribution) with a single changepoint, with nestling age as the fixed effect and mass as the response variable.

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Journal: Ecology and Evolution

Article Title: Year‐round weather alters nest‐provisioning rates in a migratory owl

doi: 10.1002/ece3.10333

Figure Lengend Snippet: Bayesian changepoint model with random effects (gaussian distribution) of owlet mass (g) throughout the nestling period. Solid and dashed lines represent the fitted value computed using the mean of posteriors, and shaded ribbons represent the 95% credible interval of posteriors. Wet = green/solid, dry = yellow/dashed, warm = red/dashed, cold = blue/solid.

Article Snippet: To assess the effects of precipitation and temperature on owlet growth, we used a Bayesian linear mixed effects model (Gaussian distribution) with a single changepoint, with nestling age as the fixed effect and mass as the response variable.

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Journal: Scientific Reports

Article Title: B-value variations in the Central Chile seismic gap assessed by a Bayesian transdimensional approach

doi: 10.1038/s41598-022-25338-4

Figure Lengend Snippet: Applications of the rjMCMC to determine b-value variation as a function of depth ( a – e ) and latitude ( f – j ) for real data from Central Chile (5272 events in total). ( a ) and ( f ) Earthquake catalog as a function of the dependent variable. ( b ) and ( g ) Solutions obtained using rjMCMC: mean (blue), the best fit (red), and credibility interval (dotted blue). ( c ) and ( h ) Histograms representing the amount of samples that show b-value changepoints at a specific depth or latitude. ( d ) and ( i ) Histograms representing how many samples showed each number of segments. ( e ) and ( j ) Evolution of solution misfit.

Article Snippet: However, we also acknowledge that including intraslab events as well as plate interface events into this search for changepoints in latitude may lead to results (b-values themselves as well as changepoint locations) that are not easy to interpret.

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