Results 41 to 50 of about 338,787 (319)
New stopping criteria for segmenting DNA sequences [PDF]
, 2001 We propose a solution on the stopping criterion in segmenting inhomogeneous DNA sequences with complex statistical patterns. This new stopping criterion is based on Bayesian Information Criterion (BIC) in the model selection framework. When this stopping
A. Audit +30 more
core +2 more sources
Economies, 2020 Only unstructured single-path model selection techniques, i.e., Information Criteria, are used by Bounds test of cointegration for model selection.
Waqar Badshah, Mehmet Bulut
doaj +1 more source
Italian Journal of Animal Science, 2021 In endangered donkey populations, reproductive performance is one the most important areas to study, provided its connection with conservation opportunities.
Ana Martins-Bessa +6 more
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Characterizing Entanglement Sources [PDF]
, 2009 We discuss how to characterize entanglement sources with finite sets of measurements. The measurements do not have to be tomographically complete, and may consist of POVMs rather than von Neumann measurements.
B. A. Berg +6 more
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Variable selection in generalized random coefficient autoregressive models
Journal of Inequalities and Applications, 2018 In this paper, we consider the variable selection problem of the generalized random coefficient autoregressive model (GRCA). Instead of parametric likelihood, we use non-parametric empirical likelihood in the information theoretic approach. We propose an
Zhiwen Zhao, Yangping Liu, Cuixin Peng
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Change-point model on nonhomogeneous Poisson processes with application in copy number profiling by next-generation DNA sequencing [PDF]
, 2012 We propose a flexible change-point model for inhomogeneous Poisson Processes, which arise naturally from next-generation DNA sequencing, and derive score and generalized likelihood statistics for shifts in intensity functions.
Shen, Jeremy J., Zhang, Nancy R.
core +3 more sources
On identifying the optimal number of population clusters via the deviance information criterion. [PDF]
PLoS ONE, 2011 Inferring population structure using bayesian clustering programs often requires a priori specification of the number of subpopulations, K, from which the sample has been drawn. Here, we explore the utility of a common bayesian model selection criterion,
Hong Gao +2 more
doaj +1 more source
Multimodel Response Assessment for Monthly Rainfall Distribution in Some Selected Indian Cities Using Best Fit Probability as a Tool [PDF]
, 2018 We carry out a study of the statistical distribution of rainfall precipitation data for 20 cites in India. We have determined the best-fit probability distribution for these cities from the monthly precipitation data spanning 100 years of observations ...
Desai, Shantanu +2 more
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea
Geosciences, 2018 This paper is devoted to the statistical analysis of dependence between fault length (L) and displacement (D). The main purpose of this work is to study the scaling relations between fault length and displacement using a database that includes datasets ...
Dmitriy Kolyukhin +4 more
doaj +1 more source