scholarly journals Composite likelihood estimation for a Gaussian process under fixed domain asymptotics

2019 ◽  
Vol 174 ◽  
pp. 104534 ◽  
Author(s):  
François Bachoc ◽  
Moreno Bevilacqua ◽  
Daira Velandia
2017 ◽  
Vol 11 (2) ◽  
pp. 2978-3007
Author(s):  
Daira Velandia ◽  
François Bachoc ◽  
Moreno Bevilacqua ◽  
Xavier Gendre ◽  
Jean-Michel Loubes

2008 ◽  
Vol 90 (1) ◽  
pp. 119-128 ◽  
Author(s):  
STEPHEN I. WRIGHT ◽  
NARDIN NANO ◽  
JOHN PAUL FOXE ◽  
VAQAAR-UN NISA DAR

SummaryCytoplasmic genomes typically lack recombination, implying that genetic hitch-hiking could be a predominant force structuring nucleotide polymorphism in the chloroplast and mitochondria. We test this hypothesis by analysing nucleotide polymorphism data at 28 loci across the chloroplast and mitochondria of the outcrossing plant Arabidopsis lyrata, and compare patterns with multiple nuclear loci, and the highly selfing Arabidopsis thaliana. The maximum likelihood estimate of the ratio of effective population size at cytoplasmic relative to nuclear genes in A. lyrata does not depart from the neutral expectation of 0·5. Similarly, the ratio of effective size in A. thaliana is close to unity, the neutral expectation for a highly selfing species. The results are thus consistent with neutral organelle polymorphism in these species or with comparable effects of hitch-hiking in both cytoplasmic and nuclear genes, in contrast to the results of recent studies on gynodioecious taxa. The four-gamete test and composite likelihood estimation provide evidence for very low levels of recombination in the organelles of A. lyrata, although permutation tests do not suggest that adjacent polymorphic sites are more closely linked than more distant sites across the two genomes, suggesting that mutation hotspots or very low rates of gene conversion could explain the data.


2016 ◽  
Vol 12 (2) ◽  
Author(s):  
Mahdis Azadbakhsh ◽  
Xin Gao ◽  
Hanna Jankowski

AbstractWe study the problem of multiple hypothesis testing for correlated clustered data. As the existing multiple comparison procedures based on maximum likelihood estimation could be computationally intensive, we propose to construct multiple comparison procedures based on composite likelihood method. The new test statistics account for the correlation structure within the clusters and are computationally convenient to compute. Simulation studies show that the composite likelihood based procedures maintain good control of the familywise type I error rate in the presence of intra-cluster correlation, whereas ignoring the correlation leads to erratic performance.


Biometrics ◽  
2014 ◽  
Vol 70 (3) ◽  
pp. 661-670 ◽  
Author(s):  
Yun Bai ◽  
Jian Kang ◽  
Peter X.-K. Song

2012 ◽  
Vol 34 (2) ◽  
pp. 206-220 ◽  
Author(s):  
Xanthi Pedeli ◽  
Dimitris Karlis

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