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Theis, L., Chagas, A. M., Arnstein, D., Schwarz, C. & Bethge, M. Beyond GLMs: a generative mixture modeling approach to neural system identification.
Results indicate that the proposed GA-based finite mixture modeling approach fits the measured data better than the AL distribution-based indirect modeling approach.
A genetic algorithm (GA -based finite mixture modelinGA -basedh is proposed to finiteate the joint distribution of the wind speed and direction.
Results: We propose an empirical Bayes mixture modeling approach called EBSeq-HMM.
Using a mixture modeling approach, we clustered human breast cancer into ten different groups based on pathway activation profiles.
MethylMix is an R package that identifies hyper and hypomethylated genes using a beta mixture modeling approach.
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More elaborated mixture modeling approaches, based on physiologically based pharmakokinetic/pharmakodynamic (PBPK/PD) models[7 9], species-sensitivity distributions (SSDs)[10, 11] or dynamic energy budgets (DEBTOX [12] have to our knowledge not been applied for the environmental risk assessment of biocidal products.
We also employ a finite-mixture modeling approach to capture the preference heterogeneity across North Shore visitors.
However, utilizing a finite-mixture modeling approach enabled us to identify distinct types of visitors with divergent visitation behaviors under altered climate and environmental conditions.
Recent methodological developments utilizing repeated point counts and an N-mixture modeling approach for analysis may produce more consistent and interpretable estimates applicable to the superpopulation of individuals using a site during the breeding season.
Our primary approach to dealing with this monotone missing data pattern will be a pattern-mixture modeling approach [ 60].
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