東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Statistics and data science = Resear...

RSSDS (Workshop ) ((2019 :)

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistics and data science/ edited by Hien Nguyen.
Reminder of title:	Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019 : proceedings /
remainder title:	RSSDS 2019
other author:	Nguyen, Hien.
corporate name:	RSSDS (Workshop )
Published:	Singapore :Springer Singapore : : 2019.,
Description:	x, 263 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Mathematical statistics - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-15-1960-4
ISBN:	9789811519604

Statistics and data science = Research 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 ;1150..

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

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

543180
Mathematical statistics
--Congresses.

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

Dewey Class. No.: 519.5

Statistics and data science = Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019 : proceedings /
LDR:03225nmm a2200361 a 4500 001 2219211
003 DE-He213
005 20200103013958.0
006 m d
007 cr nn 008maaau
008 201126s2019 si s 0 eng d
020 $a 9789811519604 $q (electronic bk.)
020 $a 9789811519598 $q (paper)
024 7 $a 10.1007/978-981-15-1960-4 $2 doi
035 $a 978-981-15-1960-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.A1 $b R77 2019
072 7 $a UYAM $2 bicssc
072 7 $a COM077000 $2 bisacsh
072 7 $a UYAM $2 thema
072 7 $a UFM $2 thema
082 0 4 $a 519.5 $2 23
090 $a QA276.A1 $b R893 2019
111 2 $a RSSDS (Workshop ) $d (2019 : $c Melbourne, Vic.) $3 3454272
245 1 0 $a Statistics and data science $h [electronic resource] : $b Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019 : proceedings / $c edited by Hien Nguyen.
246 3 $a RSSDS 2019
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a x, 263 p. : $b ill., digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0929 ; $v 1150
505 0 $a 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.
520 $a 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.
650 0 $a Mathematical statistics $v Congresses. $3 543180
650 1 4 $a Probability and Statistics in Computer Science. $3 891072
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Database Management. $3 891010
650 2 4 $a Operating Systems. $3 892491
700 1 $a Nguyen, Hien. $3 3454273
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Communications in computer and information science ; $v 1150. $3 3454274
856 4 0 $u https://doi.org/10.1007/978-981-15-1960-4
950 $a Computer Science (Springer-11645)