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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Prediction of Neurological Deterioration of Patients with Mild Traumatic Brain Injury Using Machine ies. When ND happens, death or lifelong disability is prevalent. Early prediction of possible ND would allow medical and healthcare institutions to provide the needed medical treatment. This paper presents the results that show Machine Learning (ML) can be used to create predicative models with high

Gudgeon

Spherical Data Handling and Analysis with R package rcosmo) radiation data. It has more than 100 functions. . was initially developed for CMB, but also can be used for other spherical data. This paper discusses transformations into . formats and handling of three types of non-CMB data: continuous geographic, point pattern and star-shaped. For each type of

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On the Parameter Estimation in the Schwartz-Smith’s Two-Factor Modelfutures contracts are modelled as two correlated Ornstein-Uhlenbeck processes. The Kalman Filter (KF) method has been implemented to estimate the “short” and “long” term factors jointly with unknown model parameters. The parameter identification problem arising within the likelihood function in the

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Interval Estimators for Inequality Measures Using Grouped Data sampled data has been studied extensively in recent years. To preserve confidentiality, income data is often made available in summary form only (i.e. histograms, frequencies between quintiles, etc.). In this paper, we show that good coverage can be achieved for bootstrap and Wald-type intervals fo

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Florence Forbes,Alexis Arnaud,Benjamin Lemasson,Emmanuel Barbier

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Truth, Proof, and Reproducibility: There’s No Counter-Attack for the Codelessofs in mathematics. Proofs have a distinctive quality of being necessarily reproducible, and are the cornerstone of mathematical science. However, the task of the modern mathematical scientist has drifted from that of blackboard rhetorician, where the craft of proof reigned, to a scientific workflow

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Prediction of Neurological Deterioration of Patients with Mild Traumatic Brain Injury Using Machine he ANN algorithms (multilayer perceptron (MLP), recurrent neural network (RNN), and long short-term memory (LSTM)) and two classification algorithms (linear regression and logistic regression algorithms) are considered acceptable and could be applied as medical decision support to identify patients

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