Results 1 to 10 of about 15,252,356 (177)
Sensitivity and specificity of information criteria. [PDF]
Brief Bioinform, 2020 Information criteria (ICs) based on penalized likelihood, such as Akaike's Information Criterion (AIC), the Bayesian Information Criterion (BIC), and sample-size-adjusted versions of them, are widely used for model selection in health and biological research.
Dziak JJ +4 more
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Information Criteria for Comparing Partition Schemes. [PDF]
Syst Biol, 2018 When inferring phylogenies, one important decision is whether and how nucleotide substitution parameters should be shared across different subsets or partitions of the data. One sort of partitioning error occurs when heterogeneous subsets are mistakenly lumped together and treated as if they share parameter values.
Seo TK, Thorne JL.
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Comparing Partitioned Models to Mixture Models: Do Information Criteria Apply? [PDF]
Syst Biol, 2022 The use of information criteria to distinguish between phylogenetic models has become ubiquitous within the field. However, the variety and complexity of available models are much greater now than when these practices were established.
Crotty SM, Holland BR.
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Model selection for dynamical systems via sparse regression and information criteria. [PDF]
Proc Math Phys Eng Sci, 2017 We develop an algorithm for model selection which allows for the consideration of a combinatorially large number of candidate models governing a dynamical system.
Mangan NM +3 more
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Focused information criteria for copulas [PDF]
Scandinavian Journal of Statistics, 2019 AbstractIn this paper, we extend the focused information criterion (FIC) to copula models. Copulas are often used for applications where the joint tail behavior of the variables is of particular interest, and selecting a copula that captures this well is then essential.
Vinnie Ko +2 more
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Information criteria for Firth's penalized partial likelihood approach in Cox regression models. [PDF]
Stat Med, 2017 In the estimation of Cox regression models, maximum partial likelihood estimates might be infinite in a monotone likelihood setting, where partial likelihood converges to a finite value and parameter estimates converge to infinite values.
Nagashima K, Sato Y.
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Generalized information criteria for personalized gene network inference [PDF]
Frontiers in GeneticsIdentifying individual genomic characteristics is a critical focus in personalized therapies. To reveal targets in such therapies, we considered personalized gene network analysis using kernel-based L1-type regularization methods. In kernel-based L1-type
Heewon Park +5 more
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Use of Information Criteria in the Study of Group Differences in Trace Lines. [PDF]
Appl Psychol Meas, 2019 Kim SH, Cohen AS, Cho SJ, Eom HJ.
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Information criteria for multivariate CARMA processes [PDF]
Bernoulli, 2017 Multivariate continuous-time ARMA(p,q) (MCARMA(p,q)) processes are the continuous-time analog of the well-known vector ARMA(p,q) processes. They have attracted interest over the last years. Methods to estimate the parameters of an MCARMA process require an identifiable parametrization such as the Echelon form with a fixed Kronecker index, which is in ...
Fasen, Vicky, Kimmig, Sebastian
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Word2vec Skip-Gram Dimensionality Selection via Sequential Normalized Maximum Likelihood
Entropy, 2021 In this paper, we propose a novel information criteria-based approach to select the dimensionality of the word2vec Skip-gram (SG). From the perspective of the probability theory, SG is considered as an implicit probability distribution estimation under ...
Pham Thuc Hung, Kenji Yamanishi
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