scholarly journals Exact and approximate limit behaviour of the Yule tree’s cophenetic index

2017 ◽  
Author(s):  
Krzysztof Bartoszek

AbstractIn this work we study the limit distribution of an appropriately normalized cophenetic index of the pure–birth tree conditioned onncontemporary tips. We show that this normalized phylogenetic balance index is a submartingale that converges almost surely and inL2. We link our work with studies on trees without branch lengths and show that in this case the limit distribution is a contraction–type distribution, similar to the Quicksort limit distribution. In the continuous branch case we suggest approximations to the limit distribution. We propose heuristic methods of simulating from these distributions and it may be observed that these algorithms result in reasonable tails. Therefore, we propose a way based on the quantiles of the derived distributions for hypothesis testing, whether an observed phylogenetic tree is consistent with the pure–birth process. Simulating a sample by the proposed heuristics is rapid, while exact simulation (simulating the tree and then calculating the index) is a time–consuming procedure. We conduct a power study to investigate how well the cophenetic indices detect deviations from the Yule tree and apply the methodology to empirical phylogenies.

2018 ◽  
Author(s):  
Krzysztof Bartoszek

AbstractThis paper builds up on T. Martínez-Coronado, A. Mir, F. Rossello and G. Valiente’s work “A balance index for phylogenetic trees based on quartets”, introducing a new balance index for trees. We show here that this balance index, in the case of Aldous’s β ≥ 0-model, convergences weakly to a distribution that can be characterized as the fixed point of a contraction operator on a class of distributions.


2019 ◽  
Vol 28 (4) ◽  
pp. 1411-1431 ◽  
Author(s):  
Lauren Bislick ◽  
William D. Hula

Purpose This retrospective analysis examined group differences in error rate across 4 contextual variables (clusters vs. singletons, syllable position, number of syllables, and articulatory phonetic features) in adults with apraxia of speech (AOS) and adults with aphasia only. Group differences in the distribution of error type across contextual variables were also examined. Method Ten individuals with acquired AOS and aphasia and 11 individuals with aphasia participated in this study. In the context of a 2-group experimental design, the influence of 4 contextual variables on error rate and error type distribution was examined via repetition of 29 multisyllabic words. Error rates were analyzed using Bayesian methods, whereas distribution of error type was examined via descriptive statistics. Results There were 4 findings of robust differences between the 2 groups. These differences were found for syllable position, number of syllables, manner of articulation, and voicing. Group differences were less robust for clusters versus singletons and place of articulation. Results of error type distribution show a high proportion of distortion and substitution errors in speakers with AOS and a high proportion of substitution and omission errors in speakers with aphasia. Conclusion Findings add to the continued effort to improve the understanding and assessment of AOS and aphasia. Several contextual variables more consistently influenced breakdown in participants with AOS compared to participants with aphasia and should be considered during the diagnostic process. Supplemental Material https://doi.org/10.23641/asha.9701690


2020 ◽  
Vol 3 (1) ◽  
pp. 54-59
Author(s):  
Nargiza Ergasheva ◽  
◽  
Sardor Anorboev ◽  
Gavkhar Kendjaeva ◽  

Cerebral palsy (CP) is a disorder characterized by abnormal tone, posture and movement. The incidence of CP is 2–4 per 1,000 live births in the world. Prematurityand low birth weight are important risk factors for CP; however, multiple other factors have been associated with an increased risk for CP, including maternal infections and diseases, and abnormal birth process. In most cases of CP the initial injury to the brain occurs during early fetal brain development, later a brain area that is injured cannot function properly in the future. CP is classified clinically based on the predominant motor syndrome—spastic hemiplegia, spastic diplegia, spastic quadriplegia, ataxic and dyskinetic cerebral palsies. The diagnosis of CPis based on a combination of clinical history, use of standardized neuromotor assessment and findings on magnetic resonance imaging (MRI). If there is a suspicionof genetic or inborn metabolic disorders, screening tests should be provided additionally. Because CP is associated with multiple associated and secondary medical conditions, its management requires a multidisciplinary team approach


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