Titlebook: Statistics and Data Science; Research School on S Hien Nguyen Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 artificia

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Conference proceedings 2019lines and their impact on the sciences and society. The topics covered are data analysis, data science, data mining, data visualization, bioinformatics, machine learning, neural networks, statistics, and probability. .

Mercurial

1865-0929 the disciplines and their impact on the sciences and society. The topics covered are data analysis, data science, data mining, data visualization, bioinformatics, machine learning, neural networks, statistics, and probability. .978-981-15-1959-8978-981-15-1960-4Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Modelsrameters, including the sparsity tuning hyperparameters. Experiments conducted on simulated data show the good performance of the proposed regularized MLE compared to the standard MLE with the EM algorithm.

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Component Elimination Strategies to Fit Mixtures of Multiple Scale Distributionsiple dimensions. A Bayesian formulation and a tractable inference procedure based on variational approximation are proposed. Preliminary results on simulated and real data show promising performance in terms of model selection and computational time.

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Symbolic Formulae for Linear Mixed Modelslar type of statistical model, called linear mixed models (LMMs), that is widely used in many disciplines e.g. agriculture, ecology, econometrics, psychology. Mixed models, also commonly known as multi-level, nested, hierarchical or panel data models, incorporate a combination of fixed and random ef

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: Prepare for , Weather Conditionsls to solve a problem in research is increasingly complex and requiring frequent updates. To mitigate these . computational challenges in research, this manuscript proposes ., an opinionated documentation of a scientific workflow. As a practical complement to our proof-based argument (Gray and Marwi

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