Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Leuenberger Christoph"'
Autor:
Guschanski Katerina, Arandjelovic Mimi, Spitzner Marie, Wegmann Daniel, Thalmann Olaf, Leuenberger Christoph, Bergl Richard A, Vigilant Linda
Publikováno v:
BMC Evolutionary Biology, Vol 11, Iss 1, p 85 (2011)
Abstract Background Today many large mammals live in small, fragmented populations, but it is often unclear whether this subdivision is the result of long-term or recent events. Demographic modeling using genetic data can estimate changes in long-ter
Externí odkaz:
https://doaj.org/article/65731db8f2354dc1a13ef0ae5c3be325
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 116 (2010)
Abstract Background The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractable for many realistic evolutionary models, and the use of Bayes
Externí odkaz:
https://doaj.org/article/18f7cc570ec54fd3b646a08f65722dfd
Autor:
Singer, Liam, Wietlisbach, Xenia, Hickisch, Raffael, Schoell, Eva Maria, Leuenberger, Christoph, Van den Broek, Angela, Désalme, Manon, Driesen, Koen, Lyly, Mari, Marucco, Francesca, Kutal, Miroslav, Pagon, Nives, Papp, Cristian Remus, Milioni, Paraskevi, Uzdras, Remigijus, Zihmanis, Ilgvars, Zimmermann, Fridolin, Marsden, Katrina, Hackländer, Klaus, López-Bao, José Vicente, Klenzendorf, Sybille, Wegmann, Daniel
Publikováno v:
In Biological Conservation June 2023 282
Akademický článek
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Autor:
Steel, Mike, Leuenberger, Christoph
The reconstruction of phylogenetic trees from discrete character data typically relies on models that assume the characters evolve under a continuous-time Markov process operating at some overall rate $\lambda$. When $\lambda$ is too high or too low,
Externí odkaz:
http://arxiv.org/abs/1611.09950
Autor:
Kousathanas, Athanasios, Leuenberger, Christoph, Helfer, Jonas, Quinodoz, Mathieu, Foll, Matthieu, Wegmann, Daniel
Methods that bypass analytical evaluations of the likelihood function have become an indispensable tool for statistical inference in many fields of science. These so-called likelihood-free methods rely on accepting and rejecting simulations based on
Externí odkaz:
http://arxiv.org/abs/1507.08612
Autor:
Aebischer, Thierry, Ibrahim, Tidjani, Hickisch, Raffael, Furrer, Roman D, Leuenberger, Christoph, Wegmann, Daniel *
Publikováno v:
In Biological Conservation January 2020 241
Akademický článek
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In his highly influential view of evolution, G. G. Simpson hypothesized that clades of species evolve in adaptive zones, defined as collections of niches occupied by species with similar traits and patterns of habitat use. Simpson hypothesized that s
Externí odkaz:
http://arxiv.org/abs/1305.4216
Autor:
Duembgen, Lutz, Leuenberger, Christoph
Publikováno v:
Electronic Communications in Probability 13 (2008), 99-112
Benford's law states that for many random variables X > 0 its leading digit D = D(X) satisfies approximately the equation P(D = d) = log_{10}(1 + 1/d) for d = 1,2,...,9. This phenomenon follows from another, maybe more intuitive fact, applied to Y :=
Externí odkaz:
http://arxiv.org/abs/0705.4488