activity
20092023
most citedComponent-wise approximate Bayesian computation via Gibbs-like steps

25 citations · 78 across the 12 of their papers we have counts for

collaborators

12 papers

stat.CO2023★ 3 cited

TraitLab: a Matlab package for fitting and simulating binary tree-like data

Luke J. Kelly, Geoff K. Nicholls, Robin J. Ryder +1

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…

stat.ME2023

Insufficient Gibbs Sampling

Antoine Luciano, Christian P. Robert, Robin J. Ryder

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…

q-bio.PE2022★ 3 cited

A Phylogenetic Model of the Evolution of Discrete Matrices for the Joint Inference of Lexical and Phonological Language Histories

Grégoire Clarté, Robin J. Ryder

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 o…

cs.CL2021★ 5 cited

Evolution and trade-off dynamics of functional load

Erich Round, Rikker Dockum, Robin J. Ryder

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 sou…

stat.ME2021★ 1 cited

Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference

Luke J. Kelly, Robin J. Ryder, Grégoire Clarté

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…

stat.CO2019★ 25 cited

Component-wise approximate Bayesian computation via Gibbs-like steps

Grégoire Clarté, Christian P. Robert, Robin Ryder +1

Approximate Bayesian computation methods are useful for generative models with intractable likelihoods. These methods are however sensitive to the dimension of the parameter space,…