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We introduce an evolutionary algorithm called recombinator-$k$-means for optimizing the highly non-convex kmeans problem. Its defining feature is that its crossover step involves all the members of the current generation, stochastically…

Machine Learning · Computer Science 2022-02-10 Carlo Baldassi

We revisit the problem of influencing the sex ratio of a population by subjecting reproduction of each family to some stopping rule. As an easy consequence of the strong law of large numbers, no such modification is possible in the sense…

Probability · Mathematics 2025-04-10 Stefan Gerhold , Friedrich Hubalek

This paper investigates the competition of two species in a heterogeneous environment subject to the effect of harvesting. The most realistic harvesting case is connected with the intrinsic growth rate, and the harvesting functions are…

The work presented here examines populations of double compact binary systems and tidally enhanced collapsars. We make use of BINPOP and BINKIN, two components of a recently developed population synthesis package. Results focus on…

Astrophysics of Galaxies · Physics 2015-05-18 Paul Kiel , Jarrod Hurley , Matthew Bailes

In predictive tasks, real-world datasets often present different degrees of imbalanced (i.e., long-tailed or skewed) distributions. While the majority (the head) classes have sufficient samples, the minority (the tail) classes can be…

Machine Learning · Computer Science 2021-09-14 Chongsheng Zhang , Paolo Soda , Jingjun Bi , Gaojuan Fan , George Almpanidis , Salvador Garcia

Probability modelling for DNA sequence evolution is well established and provides a rich framework for understanding genetic variation between samples of individuals from one or more populations. We show that both classical and more recent…

Populations and Evolution · Quantitative Biology 2018-06-07 Asger Hobolth , Arno Siri-Jégousse , Mogens Bladt

In this note, we focus on a selection model problem: a mono-exponential model versus a bi-exponential one. This is done in the biological context of living cells, where small data are available. Classical statistics are revisited to improve…

Applications · Statistics 2011-05-31 Ph. Heinrich , J. Kahn , L. Héliot , D. Trinel

In this study, we couple a population dynamics model with a model for optimal foraging to study the interdependence between individual-level cost-benefits and population-scale dynamics. Specifically, we study the logistic growth model,…

Populations and Evolution · Quantitative Biology 2024-08-06 Jimmy Calvo-Monge , Baltazar Espinoza , Fabio Sanchez

Numerous traits under migration-selection balance are shown to exhibit complex patterns of genetic architecture with large variance in effect sizes. However, the conditions under which such genetic architectures are stable have yet to be…

Populations and Evolution · Quantitative Biology 2022-11-01 Léonard Dekens , Sarah P. Otto , Vincent Calvez

The measure-valued Fleming-Viot process is a diffusion which models the evolution of allele frequencies in a multi-type population. In the neutral setting the Kingman coalescent is known to generate the genealogies of the "individuals" in…

Probability · Mathematics 2011-06-24 Andreas Greven , Peter Pfaffelhuber , Anita Winter

This study focuses on statistical inference for compound models of the form $X=\xi_1+\ldots+\xi_N$, where $N$ is a random variable denoting the count of summands, which are independent and identically distributed (i.i.d.) random variables…

Statistics Theory · Mathematics 2025-07-22 Denis Belomestny , Ekaterina Morozova , Vladimir Panov

The unwelcome evolution of malignancy during cancer progression emerges through a selection process in a complex heterogeneous population structure. In the present work, we investigate evolutionary dynamics in a phenotypically heterogeneous…

Populations and Evolution · Quantitative Biology 2018-02-07 Ali Mahdipour Shirayeh , Kamran Kaveh , Mohammad Kohandel , Siv Sivaloganathan

A density-dependent branching process is a particle system in which individuals reproduce independently, but in a way that depends on the current population size. This feature can model a wide range of ecological interactions at the cost of…

Probability · Mathematics 2026-01-23 Mathilde André , Félix Foutel-Rodier , Emmanuel Schertzer

To improve confounder adjustments, observational studies are often matched on potential confounders. While matched case-control studies are common and well covered in the literature, our focus here is on matched cohort studies, which are…

Based on two independent samples X_1,...,X_m and X_{m+1},...,X_n drawn from multivariate distributions with unknown Lebesgue densities p and q respectively, we propose an exact multiple test in order to identify simultaneously regions of…

Statistics Theory · Mathematics 2009-08-12 Angelika Rohde

We consider importance sampling for estimating the probability that a light-tailed $d$-dimensional random walk exits through one of many disjoint rare-event regions before reaching an anticipated target. This problem arises in sequential…

Probability · Mathematics 2025-09-19 Yanglei Song , Georgios Fellouris

We study a size-structured population model in which individual cells grow at a rate determined by a fluctuating internal variable (e.g., gene expression levels). Many previous models of phenotypically heterogeneous populations can be…

Statistical Mechanics · Physics 2026-04-06 Ethan Levien , Yaïr Hein , Farshid Jafarpour

One of the most challenging issues of evolutionary biology concerns speciation, the emergence of new species from an initial one. The huge amount of species found in nature demands a simple and robust mechanism. Yet, no consensus has been…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 Catarina R. Almeida , Fernão Vistulo de Abreu

We study the following model for a diploid population of constant size $N$: Every individual carries a random number of (genetic) elements. Upon a reproduction event each of the two parents passes each element independently with probability…

Probability · Mathematics 2023-02-28 Peter Pfaffelhuber , Anton Wakolbinger

Understanding under what conditions populations, whether they be plants, animals, or viral particles, persist is an issue of theoretical and practical importance in population biology. Both biotic interactions and environmental fluctuations…

Dynamical Systems · Mathematics 2015-12-16 Sebastian J. Schreiber
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