Zobrazeno 1 - 10
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pro vyhledávání: '"RYDER, A. J."'
We consider the asymptotic properties of Approximate Bayesian Computation (ABC) for the realistic case of summary statistics with heterogeneous rates of convergence. We allow some statistics to converge faster than the ABC tolerance, other statistics
Externí odkaz:
http://arxiv.org/abs/2311.10080
TraitLab is a software package for simulating, fitting and analysing tree-like binary data under a stochastic Dollo model of evolution. The model also allows for rate heterogeneity through catastrophes, evolutionary events where many traits are simul
Externí odkaz:
http://arxiv.org/abs/2308.09060
In some applied scenarios, the availability of complete data is restricted, often due to privacy concerns; only aggregated, robust and inefficient statistics derived from the data are made accessible. These robust statistics are not sufficient, but t
Externí odkaz:
http://arxiv.org/abs/2307.14973
Autor:
Clarté, Grégoire, Ryder, Robin J.
We propose a model of the evolution of a matrix along a phylogenetic tree, in which transformations affect either entire rows or columns of the matrix. This represents the change of both lexical and phonological aspects of linguistic data, by allowin
Externí odkaz:
http://arxiv.org/abs/2206.12473
Function Load (FL) quantifies the contributions by phonological contrasts to distinctions made across the lexicon. Previous research has linked particularly low values of FL to sound change. Here we broaden the scope of enquiry into FL, to its evolut
Externí odkaz:
http://arxiv.org/abs/2112.12224
Phylogenetic inference is an intractable statistical problem on a complex space. Markov chain Monte Carlo methods are the primary tool for Bayesian phylogenetic inference but it is challenging to construct efficient schemes to explore the associated
Externí odkaz:
http://arxiv.org/abs/2108.13328
Akademický článek
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Publikováno v:
Bayesian Anal. 14(4): 1245-1269 (December 2019)
We develop and apply two calibration procedures for checking the coverage of approximate Bayesian credible sets including intervals estimated using Monte Carlo methods. The user has an ideal prior and likelihood, but generates a credible set for an a
Externí odkaz:
http://arxiv.org/abs/1810.06433
Autor:
Rhodes, Ginger, Robinson, Kerry K., Kubasko, Dennis S., Ryder, Andrew J., Hooker, Steven D., Reid-Griffin, Angelia, Sterrett, William L.
Publikováno v:
Development and Learning in Organizations: An International Journal, 2021, Vol. 36, Issue 3, pp. 18-21.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DLO-04-2021-0065
Autor:
Elrick, Hillary, Peterson, Kevin A., Willis, Brandon J., Lanza, Denise G., Acar, Elif F., Ryder, Edward J., Teboul, Lydia, Kasparek, Petr, Birling, Marie-Christine, Adams, David J., Bradley, Allan, Braun, Robert E., Brown, Steve D., Caulder, Adam, Codner, Gemma F., DeMayo, Francesco J., Dickinson, Mary E., Doe, Brendan, Duddy, Graham, Gertsenstein, Marina
Publikováno v:
Scientific Reports; 9/30/2024, Vol. 14 Issue 1, p1-15, 15p