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We consider a family of models describing the evolution under selection of a population whose dynamics can be related to the propagation of noisy traveling waves. For one particular model, that we shall call the exponential model, the…

无序系统与神经网络 · 物理学 2009-11-13 E. Brunet , B. Derrida , A. H. Mueller , S. Munier

Staged tree models are a discrete generalization of Bayesian networks. We show that these form curved exponential families and derive their natural parameters, sufficient statistic, and cumulant-generating function as functions of their…

统计理论 · 数学 2022-01-31 Christiane Görgen , Manuele Leonelli , Orlando Marigliano

The spanning tree heuristic is a commonly adopted procedure in network inference and estimation. It allows one to generalize an inference method developed for trees, which is usually based on a statistically rigorous approach, to a…

信号处理 · 电气工程与系统科学 2019-05-22 Feng Ji , Wenchang Tang , Wee Peng Tay

Genealogical networks, also known as family trees or population pedigrees, are commonly studied by genealogists wanting to know about their ancestry, but they also provide a valuable resource for disciplines such as digital demography,…

社会与信息网络 · 计算机科学 2018-02-19 Eric Malmi , Aristides Gionis , Arno Solin

We introduce inference trees (ITs), a new class of inference methods that build on ideas from Monte Carlo tree search to perform adaptive sampling in a manner that balances exploration with exploitation, ensures consistency, and alleviates…

Tree ensembles such as random forests and boosted trees are accurate but difficult to understand, debug and deploy. In this work, we provide the inTrees (interpretable trees) framework that extracts, measures, prunes and selects rules from…

机器学习 · 计算机科学 2014-08-26 Houtao Deng

Due to their accuracies, methods based on ensembles of regression trees are a popular approach for making predictions. Some common examples include Bayesian additive regression trees, boosting and random forests. This paper focuses on…

统计方法学 · 统计学 2019-11-15 Suofei Wu , Jan Hannig , Thomas C. M. Lee

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…

种群与进化 · 定量生物学 2018-06-07 Asger Hobolth , Arno Siri-Jégousse , Mogens Bladt

Knowing the causal structure of a system is of fundamental interest in many areas of science and can aid the design of prediction algorithms that work well under manipulations to the system. The causal structure becomes identifiable from…

机器学习 · 统计学 2022-03-30 Martin Emil Jakobsen , Rajen D. Shah , Peter Bühlmann , Jonas Peters

Phylogenetic trees are simple models of evolutionary processes. They describe conditionally independent divergent evolution of taxa from common ancestors. Phylogenetic trees commonly do not have enough flexibility to adequately model all…

种群与进化 · 定量生物学 2025-11-11 Jonathan D. Mitchell , Barbara R. Holland

Differential evolution possesses a multitude of various strategies for generating new trial solutions. Unfortunately, the best strategy is not known in advance. Moreover, this strategy usually depends on the problem to be solved. This paper…

神经与进化计算 · 计算机科学 2013-07-04 Iztok Fister , Iztok Fister , Janez Brest

We address the problem of the joint statistical inference of phylogenetic trees and multiple sequence alignments from unaligned molecular sequences. This problem is generally formulated in terms of string-valued evolutionary processes along…

种群与进化 · 定量生物学 2015-06-05 Alexandre Bouchard-Côté , Michael I. Jordan

Terraces are potentially large sets of trees with precisely the same likelihood or parsimony score, which can be induced by missing sequences in partitioned multi-locus phylogenetic data matrices. The set of trees on a terrace can be…

种群与进化 · 定量生物学 2014-10-30 Michael J Sanderson , Michelle M. McMahon , Alexandros Stamatakis , Derrick J. Zwickl , Mike Steel

Statistical consistency in phylogenetics has traditionally referred to the accuracy of estimating phylogenetic parameters for a fixed number of species as we increase the number of characters. However, as sequences are often of fixed length…

种群与进化 · 定量生物学 2010-04-09 Olivier Gascuel , Mike Steel

We study several enumeration problems connected to linear trees, a broad class which includes stars, paths, generalized stars, and caterpillars. We provide generating functions for counting the number of linear trees on $n$ vertices,…

组合数学 · 数学 2020-03-23 Tanay Wakhare , Eric Wityk , Charles R. Johnson

Galled trees are studied as a recombination model in theoretic population genetics. This class of phylogenetic networks has been generalized to tree-child networks, normal networks and tree-based networks by relaxing a structural condition.…

种群与进化 · 定量生物学 2019-08-05 Louxin Zhang

Model performance is frequently reported only for the overall population under consideration. However, due to heterogeneity, overall performance measures often do not accurately represent model performance within specific subgroups. We…

统计方法学 · 统计学 2025-06-03 Ruotao Zhang , Constantine Gatsonis , Jon Steingrimsson

An important problem in evolutionary genomics is to investigate whether a certain trait measured on each sample is associated with the sample phylogenetic tree. The phylogenetic tree represents the shared evolutionary history of the samples…

种群与进化 · 定量生物学 2024-07-22 Julie Zhang , Gabriel A. Preising , Molly Schumer , Julia A. Palacios

Each gene has its own evolutionary history which can substantially differ from the evolutionary histories of other genes. For example, some individual genes or operons can be affected by specific horizontal gene transfer and recombination…

种群与进化 · 定量生物学 2022-05-26 Nadia Tahiri , Bernard Fichet , Vladimir Makarenkov

An important problem in phylogenetics is the construction of phylogenetic trees. One way to approach this problem, known as the supertree method, involves inferring a phylogenetic tree with leaves consisting of a set $X$ of species from a…

种群与进化 · 定量生物学 2017-11-21 Katharine T. Huber , Vincent Moulton , Charles Semple , Taoyang Wu
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