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1
The 8th International Conference on Time Series and Forecasting
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Book
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The 8th International Conference on Time Series and Forecasting

ISBN: 9783036554525 ;ISBN: 3036554513 ;ISBN: 3036554521 ;ISBN: 9783036554518 ;DOI: 10.3390/books978-3-0365-5452-5

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2
Applied Time Series Econometrics
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Book
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Applied Time Series Econometrics

Cambridge University Press 2004 ;ISBN: 9780521547871 ;ISBN: 9780521839198 ;ISBN: 052183919X ;ISBN: 0521547873 ;EISBN: 0511606885 ;EISBN: 9780511606885 ;EISBN: 9780511212024 ;EISBN: 051121202X ;EISBN: 9780511208447 ;EISBN: 0511208448 ;EISBN: 9781107713734 ;EISBN: 1107713730 ;DOI: 10.1017/CBO9780511606885 ;OCLC: 560240628

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3
Methodology and reporting characteristics of studies using interrupted time series design in healthcare
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Article
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Methodology and reporting characteristics of studies using interrupted time series design in healthcare

BMC medical research methodology, 2019-07, Vol.19 (1), p.137-137, Article 137 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;The Author(s). 2019 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-019-0777-x ;PMID: 31272382

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4
Multiple‐change‐point detection for high dimensional time series via sparsified binary segmentation
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Article
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Multiple‐change‐point detection for high dimensional time series via sparsified binary segmentation

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2015-03, Vol.77 (2), p.475-507 [Peer Reviewed Journal]

Copyright © 2015 The Royal Statistical Society and Blackwell Publishing Ltd. ;2014 Royal Statistical Society ;Copyright © 2015 The Royal Statistical Society and Blackwell Publishing Ltd ;ISSN: 1369-7412 ;EISSN: 1467-9868 ;DOI: 10.1111/rssb.12079

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5
A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League
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Article
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A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League

Journal of the Royal Statistical Society. Series A, Statistics in society, 2015-01, Vol.178 (1), p.167-186 [Peer Reviewed Journal]

Copyright © 2015 The Royal Statistical Society and John Wiley & Sons Ltd. ;2013 Royal Statistical Society ;Copyright Blackwell Publishing Ltd. Jan 2015 ;ISSN: 0964-1998 ;EISSN: 1467-985X ;DOI: 10.1111/rssa.12042

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6
Statistical and Machine Learning forecasting methods: Concerns and ways forward
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Article
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Statistical and Machine Learning forecasting methods: Concerns and ways forward

PloS one, 2018-03, Vol.13 (3), p.e0194889-e0194889 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Makridakis et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Makridakis et al 2018 Makridakis et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0194889 ;PMID: 29584784

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7
The use of controls in interrupted time series studies of public health interventions
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Article
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The use of controls in interrupted time series studies of public health interventions

International journal of epidemiology, 2018-12, Vol.47 (6), p.2082-2093 [Peer Reviewed Journal]

ISSN: 0300-5771 ;EISSN: 1464-3685 ;DOI: 10.1093/ije/dyy135 ;PMID: 29982445

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8
Monte Carlo Smoothing for Nonlinear Time Series
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Article
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Monte Carlo Smoothing for Nonlinear Time Series

Journal of the American Statistical Association, 2004-03, Vol.99 (465), p.156-168 [Peer Reviewed Journal]

American Statistical Association 2004 ;Copyright 2004 American Statistical Association ;2004 INIST-CNRS ;Copyright American Statistical Association Mar 2004 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1198/016214504000000151 ;CODEN: JSTNAL

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9
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
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Article
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The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

Data mining and knowledge discovery, 2017-05, Vol.31 (3), p.606-660 [Peer Reviewed Journal]

The Author(s) 2016 ;Data Mining and Knowledge Discovery is a copyright of Springer, 2017. ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-016-0483-9 ;PMID: 30930678

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10
LSTM Fully Convolutional Networks for Time Series Classification
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LSTM Fully Convolutional Networks for Time Series Classification

IEEE access, 2018-01, Vol.6, p.1662-1669 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2779939 ;CODEN: IAECCG

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11
Retracted: Measurement of Economic Fluctuations Based on High-Frequency Financial Time Series
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Article
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Retracted: Measurement of Economic Fluctuations Based on High-Frequency Financial Time Series

Security and communication networks, 2023-08, Vol.2023, p.1-1 [Peer Reviewed Journal]

Copyright © 2023 Security and Communication Networks. ;Copyright © 2023 Security and Communication Networks. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1939-0114 ;EISSN: 1939-0122 ;DOI: 10.1155/2023/9865347

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12
HIVE-COTE 2.0: a new meta ensemble for time series classification
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Article
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HIVE-COTE 2.0: a new meta ensemble for time series classification

Machine learning, 2021-12, Vol.110 (11-12), p.3211-3243 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-06057-9

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13
Data-Driven Copy-Paste Imputation for Energy Time Series
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Article
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Data-Driven Copy-Paste Imputation for Energy Time Series

IEEE transactions on smart grid, 2021-11, Vol.12 (6), p.5409-5419 [Peer Reviewed Journal]

ISSN: 1949-3053 ;EISSN: 1949-3061 ;DOI: 10.1109/TSG.2021.3101831 ;CODEN: ITSGBQ

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14
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances
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Article
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The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances

Data mining and knowledge discovery, 2021-03, Vol.35 (2), p.401-449 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-020-00727-3 ;PMID: 33679210

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15
Generalized random shapelet forests
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Article
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Generalized random shapelet forests

Data mining and knowledge discovery, 2016-09, Vol.30 (5), p.1053-1085 [Peer Reviewed Journal]

The Author(s) 2016 ;ISSN: 1384-5810 ;ISSN: 1573-756X ;EISSN: 1573-756X ;DOI: 10.1007/s10618-016-0473-y

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16
Evaluation of statistical methods used in the analysis of interrupted time series studies: a simulation study
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Article
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Evaluation of statistical methods used in the analysis of interrupted time series studies: a simulation study

BMC medical research methodology, 2021-08, Vol.21 (1), p.181-181, Article 181 [Peer Reviewed Journal]

2021. The Author(s). ;COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-021-01364-0 ;PMID: 34454418

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17
Highly comparative time-series analysis: the empirical structure of time series and their methods
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Article
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Highly comparative time-series analysis: the empirical structure of time series and their methods

Journal of the Royal Society interface, 2013-06, Vol.10 (83), p.20130048-20130048 [Peer Reviewed Journal]

2013 ;ISSN: 1742-5689 ;EISSN: 1742-5662 ;DOI: 10.1098/rsif.2013.0048 ;PMID: 23554344

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18
Sequential monitoring for changes from stationarity to mild non-stationarity
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Article
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Sequential monitoring for changes from stationarity to mild non-stationarity

Journal of econometrics, 2020-03, Vol.215, p.209-238 [Peer Reviewed Journal]

Attribution - NonCommercial ;ISSN: 0304-4076 ;EISSN: 1872-6895 ;DOI: 10.1016/j.jeconom.2019.08.010

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19
Sensor Classification Using Convolutional Neural Network by Encoding Multivariate Time Series as Two-Dimensional Colored Images
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Article
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Sensor Classification Using Convolutional Neural Network by Encoding Multivariate Time Series as Two-Dimensional Colored Images

Sensors (Basel, Switzerland), 2019-12, Vol.20 (1), p.168 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20010168 ;PMID: 31892141

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20
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions
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Article
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Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions

BMC medical research methodology, 2021-03, Vol.21 (1), p.58-58, Article 58 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-021-01235-8 ;PMID: 33752604

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