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Related papers: Population genetics: coalescence rate and demograp…

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The aim of the paper is to describe a model of the development of the Covid-19 contamination of the population of a country or a region. For this purpose a special branching process with two types of individuals is considered. This model is…

Methodology · Statistics 2020-04-03 Nikolay M. Yanev , Vessela K. Stoimenova , Dimitar V. Atanasov

Evolution is the theory that plants and animals today have come from kinds that have existed in the past. Scientists such as Charles Darwin and Alfred Wallace dedicate their life to observe how species interact with their environment, grow,…

Neural and Evolutionary Computing · Computer Science 2022-09-16 Manasa Josyula

The format of graphing algorithms for genomic data has been a debate in recent biotechnology. In this paper, we discuss the construction of population graphs using said genomic data. We first examine the GENPOFAD distance measurement,…

Quantitative Methods · Quantitative Biology 2025-08-15 Kimberly Ayers , Maxwell Kooiker

Online genealogy datasets contain extensive information about millions of people and their past and present family connections. This vast amount of data can assist in identifying various patterns in human population. In this study, we…

Social and Information Networks · Computer Science 2014-01-07 Michael Fire , Yuval Elovici

In many biological processes heterogeneity within cell populations is an important issue. In this work we consider populations where the behavior of every single cell can be described by a system of ordinary differential equations.…

Molecular Networks · Quantitative Biology 2010-02-25 J. Hasenauer , S. Waldherr , M. Doszczak , P. Scheurich , F. Allgower

Compartmental models are used in epidemiology to capture the evolution of infectious diseases such as COVID-19 in a population by assigning members of it to compartments with labels such as susceptible, infected, and recovered. In a…

Formal Languages and Automata Theory · Computer Science 2024-02-15 Tim Leys , Guillermo A. Perez

Probabilistic graphical modeling is a branch of machine learning that uses probability distributions to describe the world, make predictions, and support decision-making under uncertainty. Underlying this modeling framework is an elegant…

Machine Learning · Computer Science 2025-07-24 Jacqueline Maasch , Willie Neiswanger , Stefano Ermon , Volodymyr Kuleshov

Social computing encompasses the mechanisms through which people interact with computational systems: crowdsourcing systems, ranking and recommendation systems, online prediction markets, citizen science projects, and collaboratively edited…

Computers and Society · Computer Science 2020-07-08 Yiling Chen , Arpita Ghosh , Michael Kearns , Tim Roughgarden , Jennifer Wortman Vaughan

We identify a new natural coalescent structure, which we call the seed-bank coalescent, that describes the gene genealogy of populations under the influence of a strong seed-bank effect, where "dormant forms" of individuals (such as seeds…

Probability · Mathematics 2016-08-10 Jochen Blath , Adrián González Casanova , Noemi Kurt , Maite Wilke-Berenguer

The problem of estimating the growth rate of a birth and death processes based on the coalescence times of a sample of $n$ individuals has been considered by several authors (\cite{stadler2009incomplete, williams2022life,…

Methodology · Statistics 2026-02-26 Carola Sophia Heinzel , Jason Schweinsberg

We introduce a general modeling framework to predict the outcomes, at the population level, of individual psychology and behavior. The framework prescribes that researchers build a cost function that embodies knowledge of what trait values…

Physics and Society · Physics 2007-05-23 Pierluigi Contucci , Stefano Ghirlanda

The Gompertz model since 1825 has significantly contributed to interpretation of ageing in biological and social sciences. However, in modern research findings, it is clear that the Gompertz model is not successful to describe the whole…

Populations and Evolution · Quantitative Biology 2007-05-23 Byung Mook Weon

In this paper we study a class of stochastic individual-based models that describe the evolution of haploid populations where each individual is characterised by a phenotype and a genotype. The phenotype of an individual determines its…

Probability · Mathematics 2017-08-07 Martina Baar , Anton Bovier

Nowadays, in our globalized world,the local and intercountry movements of population have been increased. This situation makes it important for host countries to do right predictions for the future population of their native people as well…

Populations and Evolution · Quantitative Biology 2016-11-02 F. Buyukkılıç , Z. Ok Bayrakdar , D. Demirhan

Research in population and public health focuses on the mechanisms between different cultural, social, and environmental factors and their effect on the health, of not just individuals, but communities as a whole. We present here a very…

Computers and Society · Computer Science 2020-08-18 Vishwali Mhasawade , Yuan Zhao , Rumi Chunara

This work proposes an extension to Structured Grammatical Evolution (SGE) called Co-evolutionary Probabilistic Structured Grammatical Evolution (Co-PSGE). In Co-PSGE each individual in the population is composed by a grammar and a genotype,…

Neural and Evolutionary Computing · Computer Science 2022-04-20 Jessica Mégane , Nuno Lourenço , Penousal Machado

Mobile genetic elements like conjugative plasmids play a crucial role in shaping the genetic content and population dynamics of bacterial species. Bacterial populations often contain not one, but multiple co-circulating MGEs, which modify…

Populations and Evolution · Quantitative Biology 2025-04-25 Berit Siedentop , Jana S. Huisman , Claudia Igler

In the human genomes, recombination frequency between homologous chromosomes during meiosis is highly correlated with their physical length while it differs significantly when their coding density is considered. Furthermore, it has been…

Populations and Evolution · Quantitative Biology 2010-02-01 Dorota Mackiewicz , Marta Zawierta , Wojciech Waga , Stanislaw Cebrat

It is argued that the present log-normal distribution of language sizes is, to a large extent, a consequence of demographic dynamics within the population of speakers of each language. A two-parameter stochastic multiplicative process is…

Data Analysis, Statistics and Probability · Physics 2009-11-13 Damian H. Zanette

Spreading processes are conventionally monitored on a macroscopic level by counting the number of incidences over time. The spreading process can then be modeled either on the microscopic level, assuming an underlying interaction network,…

Neurons and Cognition · Quantitative Biology 2020-02-12 Johannes Zierenberg , Jens Wilting , Viola Priesemann , Anna Levina