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Random Forest
In this chapter, another machine learning algorithm called Random Forest will be considered. As data-driven performance analysis in sports is...
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Modeling the biological growth with a random logistic differential equation
We modeled biological growth using a random differential equation (RDE), where the initial condition is a random variable, and the growth rate is a...
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Bayesian discrete lognormal regression model for genomic prediction
Key messageGenomic prediction models for quantitative traits assume continuous and normally distributed phenotypes. In this research, we proposed a...
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Discrete Beta and Shifted Beta-Binomial models for rating and ranking data
Ranking and rating methods for preference data result in a different underlying organization of data that can lead to manifold probabilistic...
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New cycle, same old mistakes? Overlap** vs. discrete generations in long-term recurrent selection
BackgroundRecurrent selection is a foundational breeding method for quantitative trait improvement. It typically features rapid breeding cycles that...
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Evolutionary shift detection with ensemble variable selection
Abrupt environmental changes can lead to evolutionary shifts in trait evolution. Identifying these shifts is an important step in understanding the...
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Interrogating Random and Systematic Measurement Error in Morphometric Data
Measurement error is present in all quantitative studies, and ensuring proper biological inference requires that the effects of measurement error are...
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Exploring Phylogenetic Relationships of the Mecocephala Group (Hemiptera: Pentatomidae) Using Continuous and Discrete Characters, with Notes on Taxonomy
The Mecocephala group comprises about 50 species, restricted to the Neotropics and with the highest species richness in Neotropical South America....
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Sleep as a random walk: a super-statistical analysis of EEG data across sleep stages
In clinical practice, human sleep is classified into stages, each associated with different levels of muscular activity and marked by characteristic...
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Prediction of hot spots in protein–DNA binding interfaces based on discrete wavelet transform and wavelet packet transform
BackgroundIdentification of hot spots in protein–DNA binding interfaces is extremely important for understanding the underlying mechanisms of...
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CMIC: predicting DNA methylation inheritance of CpG islands with embedding vectors of variable-length k-mers
BackgroundEpigenetic modifications established in mammalian gametes are largely reprogrammed during early development, however, are partly inherited...
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Food choice responses to changes in the price of a staple crop: a discrete choice experiment of maize in rural Malawi
Price and affordability are important drivers of food choice, particularly for rural smallholder farming households in Malawi, experiencing extreme...
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Scanning behaviour in ants: an interplay between random-rate processes and oscillators
At the start of a journey home or to a foraging site, ants often stop, interrupting their forward movement, turn on the spot a number of times, and...
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Assessment of the effects of different variable weights on wildfire susceptibility
In this study, wildfire susceptibility is mapped using various multi-criteria decision analysis techniques (AHP, SAW and VIKOR) and machine learning...
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Modeling the stochastic within-host dynamics SARS-CoV-2 infection with discrete delay
In this paper, a new mathematical model that describes the dynamics of the within-host COVID-19 epidemic is formulated. We show the stochastic...
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Discrete patterns of microbiome variability across timescales in a wild rodent population
Mammalian gastrointestinal microbiomes are highly variable, both within individuals and across populations, with changes linked to time and ageing...
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Measuring farmers’ preferences for weather index insurance in the Ayeyarwady Delta, Myanmar: a discrete choice experiment approach
This study examines farmers’ preferences for weather index insurance (WII) in the Ayeyarwady Delta, Myanmar, using discrete choice experiments. It...
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PICALO: principal interaction component analysis for the identification of discrete technical, cell-type, and environmental factors that mediate eQTLs
Expression quantitative trait loci (eQTL) offer insights into the regulatory mechanisms of trait-associated variants, but their effects often rely on...
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Dynamic changes to signal allocation rules in response to variable social environments in house mice
Urine marking is central to mouse social behavior. Males use depletable and costly urine marks in intrasexual competition and mate attraction. We...
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Surface Representation and Morphometric Analysis Based on Discrete Cosine Transform
Fourier series are usually employed to describe closed or open, 2D or 3D outlines of biological samples. Landmark-based morphometric methods are...
