Theory and applications of time series analysis and forecasting: selected contributions from ITISE 2021
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| Corporate Author: | |
|---|---|
| Other Authors: | , , , , |
| Format: | Conference Proceeding Book |
| Language: | English |
| Published: |
Cham
Springer
[2023]
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| Series: | Contributions to statistics
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xiii, 333 Seiten Diagramme |
| ISBN: | 9783031141966 |
| ISSN: | 1431-1968 |
Staff View
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Contents Part I Theoretical Aspects of Time Series An Improved Forecasting and Detection of Structural Breaks in Time Series Using Fuzzy Techniques Thi Thanh Phuong Truong and Vilém Novák 3 Anomaly Detection Algorithm Using a Hybrid Modelling Approach for Energy Consumption Time Series. Florian Rippstein, Steve Lenk, Andre Kummerow, Lucas Richter, Stefan Klaiber, and Peter Bretschneider 19 Unit Root Test Combination via Random Forests. Luca Nocciola, Daniel Ollech, and Karsten Webel 31 Probabilistic Forecasting of Seasonal Time Series . Colin Leverger, Thomas Guyet, Simon Malinowski, Vincent Lemaire, Alexis Bondu, Laurence Rozé, Alexandre Termier, and Régis Marguerie 47 Nonstatistical Methods for Analysis, Forecasting, and Mining Time Series. Vilém Novák and Irina Perfilieva . PMF Forecasting for Count Processes: A Comprehensive Performance Analysis. Annika Homburg, Christian H. Weiß, Layth C. Alwan, Gabriel Frahm, and Rainer Göb A Novel First-Order Autoregressive Moving Average Model to Analyze Discrete-Time Series Irregularly Observed César Ojeda, Wilfredo Palma, Susana Eyheramendy, and Felipe Elorrieta 65 79 91 xi
xii Part II Contents Econometrie and Forecasting Using Natural Language Processing to Measure COVID-19-Induced Economic Policy Uncertainty for Canada and the USA . Shafiullah Qureshi, Ba Chu, Fanny S. Demers, and Michel Demers Asymptotic Expansions for Market Risk Assessment: Evidence in Energy and Commodity Indices. Daniel Velásquez-Gav'iria, Andrés Mora-Valencia, and Javier Perote 107 123 Predicting Housing Prices for Spanish Regions. Paloma Taltavull de La Paz 143 Optimal Combination Forecast for Bitcoin Dollars Time Series. Marwan Abdid«Hameed Ashour and Iman A. H. Aldahhan 161 The Impact of the Hungarian Retail Debt Program. 175 Bianka Bíró, Dávid Tran, András Stark, and András Bebes Predicting the Exchange Rate Path: The Importance of Using Up-to-Date Observations in the Forecasts. Håvard Hungnes Part HI 195 Time Series Prediction Applications Development of Algorithm for Forecasting System Software. Mostafa Abotaleb and Tatiana Makarovskikh 213 Forecasting High-Frequency Electricity Demand in Uruguay. 227 Bibiana Lanzilotta and Silvia Rodriguez-Collazo Day-Ahead Electricity Load Prediction Based on Calendar Features and Temporal Convolutional Networks. 243 Lucas Richter, Fabian Bauer, Stefan Klaiber, and Peter
Bretschneider Network Security Situation Awareness Forecasting Based on Neural Networks. 255 Richard Stana, Patrik Pekarčík, Andrej Gajdoš, and Pavol Sokol Part TV Advanced Applications in Time Series Analysis Modeling Covid-19 Contagion Dynamics: Time-Series Analysis Across Different Countries and Subperiods. 273 Zorica Mladenovič, Lenka Glavaš, and Pavle Mladenovič Diffusion of Renewable Energy for Electricity: An Analysis for Leading Countries. 291 Alessandro Bessi, Mariangela Guidolin, and Piero Manfredi
Contents xiii The State and Perspectives of Employment in the Water Transport System of the Republic of Croatia. ;. 307 Drago Pupavac, Ljudevit Krpan, and Robert Maršanić Reversed STIRPAT Modeling: The Role of ՇՕշ Emissions, Population, and Technology for a Growing Affluence. . 321 Johannes Lohwasser, Axel Schaffer, and Tom Brökel |
| adam_txt |
Contents Part I Theoretical Aspects of Time Series An Improved Forecasting and Detection of Structural Breaks in Time Series Using Fuzzy Techniques Thi Thanh Phuong Truong and Vilém Novák 3 Anomaly Detection Algorithm Using a Hybrid Modelling Approach for Energy Consumption Time Series. Florian Rippstein, Steve Lenk, Andre Kummerow, Lucas Richter, Stefan Klaiber, and Peter Bretschneider 19 Unit Root Test Combination via Random Forests. Luca Nocciola, Daniel Ollech, and Karsten Webel 31 Probabilistic Forecasting of Seasonal Time Series . Colin Leverger, Thomas Guyet, Simon Malinowski, Vincent Lemaire, Alexis Bondu, Laurence Rozé, Alexandre Termier, and Régis Marguerie 47 Nonstatistical Methods for Analysis, Forecasting, and Mining Time Series. Vilém Novák and Irina Perfilieva . PMF Forecasting for Count Processes: A Comprehensive Performance Analysis. Annika Homburg, Christian H. Weiß, Layth C. Alwan, Gabriel Frahm, and Rainer Göb A Novel First-Order Autoregressive Moving Average Model to Analyze Discrete-Time Series Irregularly Observed César Ojeda, Wilfredo Palma, Susana Eyheramendy, and Felipe Elorrieta 65 79 91 xi
xii Part II Contents Econometrie and Forecasting Using Natural Language Processing to Measure COVID-19-Induced Economic Policy Uncertainty for Canada and the USA . Shafiullah Qureshi, Ba Chu, Fanny S. Demers, and Michel Demers Asymptotic Expansions for Market Risk Assessment: Evidence in Energy and Commodity Indices. Daniel Velásquez-Gav'iria, Andrés Mora-Valencia, and Javier Perote 107 123 Predicting Housing Prices for Spanish Regions. Paloma Taltavull de La Paz 143 Optimal Combination Forecast for Bitcoin Dollars Time Series. Marwan Abdid«Hameed Ashour and Iman A. H. Aldahhan 161 The Impact of the Hungarian Retail Debt Program. 175 Bianka Bíró, Dávid Tran, András Stark, and András Bebes Predicting the Exchange Rate Path: The Importance of Using Up-to-Date Observations in the Forecasts. Håvard Hungnes Part HI 195 Time Series Prediction Applications Development of Algorithm for Forecasting System Software. Mostafa Abotaleb and Tatiana Makarovskikh 213 Forecasting High-Frequency Electricity Demand in Uruguay. 227 Bibiana Lanzilotta and Silvia Rodriguez-Collazo Day-Ahead Electricity Load Prediction Based on Calendar Features and Temporal Convolutional Networks. 243 Lucas Richter, Fabian Bauer, Stefan Klaiber, and Peter
Bretschneider Network Security Situation Awareness Forecasting Based on Neural Networks. 255 Richard Stana, Patrik Pekarčík, Andrej Gajdoš, and Pavol Sokol Part TV Advanced Applications in Time Series Analysis Modeling Covid-19 Contagion Dynamics: Time-Series Analysis Across Different Countries and Subperiods. 273 Zorica Mladenovič, Lenka Glavaš, and Pavle Mladenovič Diffusion of Renewable Energy for Electricity: An Analysis for Leading Countries. 291 Alessandro Bessi, Mariangela Guidolin, and Piero Manfredi
Contents xiii The State and Perspectives of Employment in the Water Transport System of the Republic of Croatia. ;. 307 Drago Pupavac, Ljudevit Krpan, and Robert Maršanić Reversed STIRPAT Modeling: The Role of ՇՕշ Emissions, Population, and Technology for a Growing Affluence. . 321 Johannes Lohwasser, Axel Schaffer, and Tom Brökel |
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| spelling | ITISE 2021 Gran Canaria Verfasser (DE-588)1292068752 aut Theory and applications of time series analysis and forecasting selected contributions from ITISE 2021 Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas (editors) Cham Springer [2023] xiii, 333 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Contributions to statistics 1431-1968 Time Series Analysis Statistics in Business, Management, Economics, Finance, Insurance Econometrics Probability and Statistics in Computer Science Mathematics in Business, Economics and Finance Data Mining and Knowledge Discovery Time-series analysis Statistics Computer science—Mathematics Mathematical statistics Social sciences—Mathematics Data mining (DE-588)1071861417 Konferenzschrift 2021 Gran Canaria gnd-content Valenzuela, Olga (DE-588)1229843698 edt Rojas, Fernando (DE-588)1229844074 edt Herrera, Luis Javier (DE-588)1229844198 edt Pomares, Héctor (DE-588)1229845739 edt Rojas, Ignacio 1969- (DE-588)107192530X edt Erscheint auch als Online-Ausgabe 978-3-031-14197-3 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034200491&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Theory and applications of time series analysis and forecasting selected contributions from ITISE 2021 Time Series Analysis Statistics in Business, Management, Economics, Finance, Insurance Econometrics Probability and Statistics in Computer Science Mathematics in Business, Economics and Finance Data Mining and Knowledge Discovery Time-series analysis Statistics Computer science—Mathematics Mathematical statistics Social sciences—Mathematics Data mining |
| subject_GND | (DE-588)1071861417 |
| title | Theory and applications of time series analysis and forecasting selected contributions from ITISE 2021 |
| title_auth | Theory and applications of time series analysis and forecasting selected contributions from ITISE 2021 |
| title_exact_search | Theory and applications of time series analysis and forecasting selected contributions from ITISE 2021 |
| title_exact_search_txtP | Theory and applications of time series analysis and forecasting selected contributions from ITISE 2021 |
| title_full | Theory and applications of time series analysis and forecasting selected contributions from ITISE 2021 Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas (editors) |
| title_fullStr | Theory and applications of time series analysis and forecasting selected contributions from ITISE 2021 Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas (editors) |
| title_full_unstemmed | Theory and applications of time series analysis and forecasting selected contributions from ITISE 2021 Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas (editors) |
| title_short | Theory and applications of time series analysis and forecasting |
| title_sort | theory and applications of time series analysis and forecasting selected contributions from itise 2021 |
| title_sub | selected contributions from ITISE 2021 |
| topic | Time Series Analysis Statistics in Business, Management, Economics, Finance, Insurance Econometrics Probability and Statistics in Computer Science Mathematics in Business, Economics and Finance Data Mining and Knowledge Discovery Time-series analysis Statistics Computer science—Mathematics Mathematical statistics Social sciences—Mathematics Data mining |
| topic_facet | Time Series Analysis Statistics in Business, Management, Economics, Finance, Insurance Econometrics Probability and Statistics in Computer Science Mathematics in Business, Economics and Finance Data Mining and Knowledge Discovery Time-series analysis Statistics Computer science—Mathematics Mathematical statistics Social sciences—Mathematics Data mining Konferenzschrift 2021 Gran Canaria |
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