OpenAlex | Bayesian non-parametric inference for $\Lambda$-coalescents: Posterior consistency and a parametric method

Bayesian non-parametric inference for $\Lambda$-coalescents: Posterior consistency and a parametric method

Work

Year: 2018

Type: article

Abstract: We investigate Bayesian non-parametric inference of the $\Lambda$-measure of $\Lambda$-coalescent processes with recurrent mutation, parametrised by probability measures on the unit interval. We give ... more

Source: Bernoulli

Authors Jere Koskela, Paul A. Jenkins, Dario Spanò

Institutions Technische Universität Berlin, University of Warwick

Cites: 65

Cited by: 4

Related to: 10

FWCI: 0.482

Citation percentile (by year/subfield): 67.45

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Sustainable Development Goal Reduced inequalities

Open Access status: bronze