國立虎尾科技大學 |

Advances in time series analysis and forecasting = selected contributions from ITISE 2016 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in time series analysis and forecasting/ edited by Ignacio Rojas, Hector Pomares, Olga Valenzuela.
其他題名:	selected contributions from ITISE 2016 /
其他題名:	ITISE 2016
其他作者:	Rojas, Ignacio.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xv, 414 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Time-series analysis -
電子資源:	http://dx.doi.org/10.1007/978-3-319-55789-2
ISBN:	9783319557892

Advances in time series analysis and forecasting = selected contributions from ITISE 2016 /
Advances in time series analysis and forecastingselected contributions from ITISE 2016 /[electronic resource] :ITISE 2016edited by Ignacio Rojas, Hector Pomares, Olga Valenzuela. - Cham :Springer International Publishing :2017. - xv, 414 p. :ill., digital ;24 cm. - Contributions to statistics,1431-1968. - Contributions to statistics..

Preface -- Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies -- Scientific Contributions -- Part II: Multi-scale Analysis of Univariate and Multivariate Time Series -- Scientific Contributions -- Part III: Linear and Non-linear Time Series Models -- Scientific Contributions -- Part IV: Advanced Time Series Forecasting Methods -- Scientific Contributions -- Part V: Applications in Time Series Analysis and Forecasting -- Scientific Contributions -- Author Index.

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary rese arch encompassing the disciplines of computer science, mathematics, statistics and econometrics.

ISBN: 9783319557892

Standard No.: 10.1007/978-3-319-55789-2doiSubjects--Topical Terms:

575959
Time-series analysis

LC Class. No.: QA280 / .I58 2016

Dewey Class. No.: 519.55

Advances in time series analysis and forecasting = selected contributions from ITISE 2016 /
LDR:02621nam a2200313 a 4500 001 923745
003 DE-He213
005 20180319162746.0
006 m d
007 cr nn 008maaau
008 190625s2017 gw s 0 eng d
020 $a 9783319557892 $q (electronic bk.)
020 $a 9783319557885 $q (paper)
024 7 $a 10.1007/978-3-319-55789-2 $2 doi
035 $a 978-3-319-55789-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA280 $b .I58 2016
082 0 4 $a 519.55 $2 23
090 $a QA280 $b .I61 2016
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Advances in time series analysis and forecasting $h [electronic resource] : $b selected contributions from ITISE 2016 / $c edited by Ignacio Rojas, Hector Pomares, Olga Valenzuela.
246 3 $a ITISE 2016
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a xv, 414 p. : $b ill., digital ; $c 24 cm.
490 1 $a Contributions to statistics, $x 1431-1968
505 0 $a Preface -- Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies -- Scientific Contributions -- Part II: Multi-scale Analysis of Univariate and Multivariate Time Series -- Scientific Contributions -- Part III: Linear and Non-linear Time Series Models -- Scientific Contributions -- Part IV: Advanced Time Series Forecasting Methods -- Scientific Contributions -- Part V: Applications in Time Series Analysis and Forecasting -- Scientific Contributions -- Author Index.
520 $a This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary rese arch encompassing the disciplines of computer science, mathematics, statistics and econometrics.
650 0 $a Time-series analysis $3 575959
650 0 $a Prediction theory $v Congresses. $3 793746
650 1 4 $a Statistics. $3 556824
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 669275
650 2 4 $a Econometrics. $3 556981
650 2 4 $a Probability and Statistics in Computer Science. $3 669886
650 2 4 $a Probability Theory and Stochastic Processes. $3 593945
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 782247
700 1 $a Rojas, Ignacio. $3 787797
700 1 $a Pomares, Hector. $3 1109355
700 1 $a Valenzuela, Olga. $3 1200307
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Contributions to statistics. $3 881580
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-55789-2
950 $a Mathematics and Statistics (Springer-11649)