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Statistics and data scienceResearch ...

(1998 :)

Statistics and data scienceResearch School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistics and data scienceedited by Hien Nguyen.
其他題名:	Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019 : proceedings /
其他題名:	RSSDS 2019
其他作者:	Nguyen, Hien.
團體作者:
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	x, 263 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical statistics
電子資源:	https://doi.org/10.1007/978-981-15-1960-4
ISBN:	9789811519604$q(electronic bk.)

Statistics and data scienceResearch School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019 : proceedings /
Statistics and data scienceResearch School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019 : proceedings /[electronic resource] :RSSDS 2019edited by Hien Nguyen. - Singapore :Springer Singapore :2019. - x, 263 p. :ill., digital ;24 cm. - Communications in computer and information science,11501865-0929 ;. - Communications in computer and information science ;229..

Invited Papers -- Symbolic Formulae for Linear Mixed Models -- code::proof: Prepare for most weather conditions -- Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models -- Flexible Modelling via Multivariate Skew Distributions -- Estimating occupancy and fitting models with the two-stage approach -- Component elimination strategies for mixtures of multiple scale distributions -- An introduction to approximate Bayesian computation -- Contributing Papers -- Truth, Proof, and Reproducibility: There's no counter-attack for the codeless -- On Adaptive Gauss-Hermite Quadrature for Estimation in GLMM's -- Deep learning with periodic features and applications in particle physics -- Copula Modelling of Nurses' Agitation-Sedation Rating of ICU Patients -- Predicting the whole distribution with methods for depth data analysis demonstrated on a colorectal cancer treatment study -- Resilient and Deep Network for Internet of Things (IoT) Malware Detection -- Prediction of Neurological Deterioration of Patients with Mild Traumatic Brain Injury using Machine Learning -- Spherical data handling and analysis with R package rcosmo -- On the Parameter Estimation in the Schwartz-Smith's Two-Factor Model -- Interval estimators for inequality measures using grouped data -- Exact model averaged tail area confidence intervals.

This book constitutes the proceedings of the Research School on Statistics and Data Science, RSSDS 2019, held in Melbourne, VIC, Australia, in July 2019. The 11 papers presented in this book were carefully reviewed and selected from 23 submissions. The volume also contains 7 invited talks. The workshop brought together academics, researchers, and industry practitioners of statistics and data science, to discuss numerous advances in 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.

ISBN: 9789811519604$q(electronic bk.)

Standard No.: 10.1007/978-981-15-1960-4doiSubjects--Topical Terms:

182294
Mathematical statistics

LC Class. No.: QA276.A1 / R77 2019

Dewey Class. No.: 519.5

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