A powerful way to detect selection in a population is by modeling local allele frequency changes in a 7 particular region of the genome under scenarios of selection and neutrality, and finding which model is 8 most compatible with the data. Chen et al. [1] developed a composite likelihood method called XP-CLR 9 that uses an outgroup population to detect departures from neutrality which could be...

We present an implementation of split-population duration regression in the spduration (Beger et al., 2017) package for R that allows for time-varying covariates. The statistical model accounts for units that are immune to a certain outcome and are not part of the duration process the researcher is primarily interested in. We provide insights for when immune units exist, that can significantly ...

The coalescent process in the human-chimpanzee ancestral population is investigated using a model, which incorporates a certain time period of gene flow during the speciation process. a is a parameter to represent the degree and time of gene flow, and the model is identical to the null model with an instantaneous species split when a=infinity. A maximum likelihood (ML) method is developed to es...

A powerful way to detect selection in a population is by modeling local allele frequency changes in a particular region of the genome under scenarios of selection and neutrality and finding which model is most compatible with the data. A previous method based on a cross-population composite likelihood ratio (XP-CLR) uses an outgroup population to detect departures from neutrality that could be ...

We propose a minimalist stochastic model of multilevel (or group) selection. A population is subdivided into groups. Individuals interact with other members of the group in an evolutionary game that determines their fitness. Individuals reproduce, and offspring are added to the same group. If a group reaches a certain size, it can split into two. Faster reproducing individuals lead to larger gr...

applying a precise forecasting method is necessary to achieve acceptable results in ipm programs. performances of the wing and delta pheromone traps for forecasting the codling moth phenology were compared with physiological time data based on degree-hours. six pheromone traps (three wing and three delta style) were applied for the monitoring of the codling moth population. traps were placed in...

This paper presents methods for the parameter identification of a model of subtilin production by Bacillus subtilis. Based on a stochastic hybrid model, identification is split in two subproblems: estimation of the genetic network regulating subtilin production from gene expression data, and estimation of population dynamics based on nutrient and population level data. Techniques for identifica...