Theory and applications of time series analysis: selected contributions from ITISE 2019
Gespeichert in:
| Körperschaft: | |
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| Weitere Verfasser: | , , , , |
| Format: | Tagungsbericht Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2020]
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| Schriftenreihe: | Contributions to statistics
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xiv, 460 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030562182 |
| ISSN: | 1431-1968 |
Internformat
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| 245 | 1 | 0 | |a Theory and applications of time series analysis |b selected contributions from ITISE 2019 |c Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas (editors) |
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| 490 | 0 | |a Contributions to statistics |x 1431-1968 | |
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| 700 | 1 | |a Valenzuela, Olga |0 (DE-588)1229843698 |4 edt | |
| 700 | 1 | |a Rojas, Fernando |0 (DE-588)1229844074 |4 edt | |
| 700 | 1 | |a Herrera, Luis Javier |0 (DE-588)1229844198 |4 edt | |
| 700 | 1 | |a Pomares, Héctor |0 (DE-588)1229845739 |4 edt | |
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Datensatz im Suchindex
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Contents Advanced Statistical and Mathematical Methods for Time Series Analysis Random Forest Variable Selection for Sparse Vector Autoregressive Models. Dmitry Pavlyuk 3 Covariance Functions for Gaussian Laplacian Fields in Higher Dimension . György H. Tcaiik 19 The Correspondence Between Stochastic Linear Difference and Differential Flquations. D. Stephen G. Pollock 31 New Test for a Random Walk Detection Based on the Arcsine Law՛ Marcin Dudziński. Konrad l·’urmanc/ук. and Arkadiusz Orłowski . . 51 On the Automatic Identification of Cnobserved Components Models. . . Diego J. Pedregal and Juan R. Trapero 65 Econometric Models and Forecasting Spatial Integration of Pig Meat Markets in the EC: Complex Network Analysis of Non-linear Price Relationships . Christos J. Emmanouilides and Alexej Proskynitopoulos 81 Comparative Study of Models for Forecasting Nigerian Stock Exchange Market Capitalization . Isah Nura. Sani I. S. Doguua. and Yusuf Basini 99 Industry Specifics of Models Predicting Financia) Distress. Dagmar Camska 113 xi
xii Stochastic Volatility Models Predictive Relevance for Euuity Markets. Per Bjarte Solibakke I “iitcnls 125 Empirical Test of the Balassa-Samuelson Effect in Selected African Countries. 145 Joel Hinaunye Eita, Zitsile Zamantungua Khuinalu, and been Ctmg.i Energy Time Series Forecasting End of Charge Detection by Processing Impedance Spectra of Batteries. It՝'՝ Andre Loechte. Ole Gebert, and Peter Gloesekoeiicr The Effect of DayHght Saving l ime on Spanish Electrical Consumption. 1 ~՜՜ Eduardo Caro, Jesús Juan. Marta Maña, Jesús Rupere/. Carlos кічіпеис/. Ana Rodrigue/, and Juan José Abelkin Wind Speed Forecasting Using Kernel Ridge Regression with Different Time Horizons. I'M Mohammad Amjad Alakunk Maher Maaloul. and karėk H M El l ouh Applying a 1D-CNN Network to Electricity LoadForecasting Christian Lang. Florian Steinbom. Oliver Stellens, and Elmar W. Lang Long- and Short-Term Approaches for Power Consumption Prediction Using Neural Networks Juan Carlos Morales. Sah ador Moreno. Carlos Bailón, Hector Pomares, Ignacio Rojas, and Luis Javier Herrera 2։ 5 2 ll) Forecasting Complex/Big Data Problems Freedman’s Paradox: A Solution Based onNormalized Entropy Pedro Macedo Mining News Data for the Measurement and Prediction of Inflation Expectations. Diana Gabrielyan, Jaan Masso, and Lenno Uusküla 2 ՝Հ 25՝ Big Data: Forecasting and
Control for Tourism Demand Miguel Ángel Rui/, Reina 2՜՜.՝ Traffic Networks via Neural Networks: Description and Evolution Alexandras Sopasakis 2S~
Contents xiii Time Series Analysis with Computational Intelligence A Comparative Study on Machine Learning Techniques for Intense Convective Rainfall Events Forecasting. Matteo Sangiorgio, Stefano Barindelli, Valerio Guglieri, Riccardo Biondi, Enrico Solazzo, Eugenio Realini, Giovanna Venuti, and Giorgio Guariso 305 Long Short-Term Memory Networks for the Prediction of Transformer Temperature for Energy Distribution Smart Grids. . 319 F. J. Martinez-Murcia, J. Ramirez, F. Segovia, A. Ortiz, S. Carrillo, J. Leiva, J. Rodriguez-Rivero, and J. M. Gorriz Deep Multilayer Perceptron for Knowledge Extraction: Understanding the Gardon de Mialet Flash Floods Modeling. Bob E. Saint Fleur, Guillaume Artigue, Anne Johannet, and Severin Pistre 333 Forecasting Short-Term and Medium-Term Time Series: A Comparison of Artificial Neural Networks and Fuzzy Models. T. V. Afanasieva and P. V. Platov 349 Infiation Rate Forecasting: Extreme Learning Machine as a Model Combination Method. Jeronymo Marcondes Pinto and Emerson Fernandes Marçal 365 Time Series Analysis and Prediction in Other Real Problems Load Forecast by Multi-Task Learning Models: Designed for a New Collaborative World. Leontina Pinto. Jacques Szczupak, and Robinson Semolini Power Transformer Forecasting in Smart Grids Using NARX Neural Networks
. J. Ramirez. F. J. Martinez-Murcia, F. Segovia, A. Ortiz, D. Salas-González. S. Carrillo. J. Leiva. J. Rodriguez-Rivero, and J. M. Gorriz 389 401 Short-Term Forecast of Emergency Departments Visits Through Calendar Selection. 415 Cosimo Lovecchio, Mauro Tucci. Sami Barmada, Andrea Serafini, Luigi Bechi. Mauro Breggia. Simona Dei. and Daniela Matarrese Discordant Observation Modelling. Sons a Leech and Bojan Bozie 427
xiv Applying Diebold-Mariano Test for Performance Evaluation Between Individual and Hybrid Time-Series Models for Modeling Bivariate Time-Series Data and Forecasting the Unemployment Rate in the USA. Chiuchis 44 іţ Firas Ahmmed Mohammed and Moumen Abbas Muusa Author Index. 4şo |
| adam_txt |
Contents Advanced Statistical and Mathematical Methods for Time Series Analysis Random Forest Variable Selection for Sparse Vector Autoregressive Models. Dmitry Pavlyuk 3 Covariance Functions for Gaussian Laplacian Fields in Higher Dimension . György H. Tcaiik 19 The Correspondence Between Stochastic Linear Difference and Differential Flquations. D. Stephen G. Pollock 31 New Test for a Random Walk Detection Based on the Arcsine Law՛ Marcin Dudziński. Konrad l·’urmanc/ук. and Arkadiusz Orłowski . . 51 On the Automatic Identification of Cnobserved Components Models. . . Diego J. Pedregal and Juan R. Trapero 65 Econometric Models and Forecasting Spatial Integration of Pig Meat Markets in the EC: Complex Network Analysis of Non-linear Price Relationships . Christos J. Emmanouilides and Alexej Proskynitopoulos 81 Comparative Study of Models for Forecasting Nigerian Stock Exchange Market Capitalization . Isah Nura. Sani I. S. Doguua. and Yusuf Basini 99 Industry Specifics of Models Predicting Financia) Distress. Dagmar Camska 113 xi
xii Stochastic Volatility Models Predictive Relevance for Euuity Markets. Per Bjarte Solibakke I “iitcnls 125 Empirical Test of the Balassa-Samuelson Effect in Selected African Countries. 145 Joel Hinaunye Eita, Zitsile Zamantungua Khuinalu, and been Ctmg.i Energy Time Series Forecasting End of Charge Detection by Processing Impedance Spectra of Batteries. It՝'՝ Andre Loechte. Ole Gebert, and Peter Gloesekoeiicr The Effect of DayHght Saving l ime on Spanish Electrical Consumption. 1 ~՜՜ Eduardo Caro, Jesús Juan. Marta Maña, Jesús Rupere/. Carlos кічіпеис/. Ana Rodrigue/, and Juan José Abelkin Wind Speed Forecasting Using Kernel Ridge Regression with Different Time Horizons. I'M Mohammad Amjad Alakunk Maher Maaloul. and karėk H M El l ouh Applying a 1D-CNN Network to Electricity LoadForecasting Christian Lang. Florian Steinbom. Oliver Stellens, and Elmar W. Lang Long- and Short-Term Approaches for Power Consumption Prediction Using Neural Networks Juan Carlos Morales. Sah ador Moreno. Carlos Bailón, Hector Pomares, Ignacio Rojas, and Luis Javier Herrera 2։ 5 2 ll) Forecasting Complex/Big Data Problems Freedman’s Paradox: A Solution Based onNormalized Entropy Pedro Macedo Mining News Data for the Measurement and Prediction of Inflation Expectations. Diana Gabrielyan, Jaan Masso, and Lenno Uusküla 2 ՝Հ 25՝ Big Data: Forecasting and
Control for Tourism Demand Miguel Ángel Rui/, Reina 2՜՜.՝ Traffic Networks via Neural Networks: Description and Evolution Alexandras Sopasakis 2S~
Contents xiii Time Series Analysis with Computational Intelligence A Comparative Study on Machine Learning Techniques for Intense Convective Rainfall Events Forecasting. Matteo Sangiorgio, Stefano Barindelli, Valerio Guglieri, Riccardo Biondi, Enrico Solazzo, Eugenio Realini, Giovanna Venuti, and Giorgio Guariso 305 Long Short-Term Memory Networks for the Prediction of Transformer Temperature for Energy Distribution Smart Grids. . 319 F. J. Martinez-Murcia, J. Ramirez, F. Segovia, A. Ortiz, S. Carrillo, J. Leiva, J. Rodriguez-Rivero, and J. M. Gorriz Deep Multilayer Perceptron for Knowledge Extraction: Understanding the Gardon de Mialet Flash Floods Modeling. Bob E. Saint Fleur, Guillaume Artigue, Anne Johannet, and Severin Pistre 333 Forecasting Short-Term and Medium-Term Time Series: A Comparison of Artificial Neural Networks and Fuzzy Models. T. V. Afanasieva and P. V. Platov 349 Infiation Rate Forecasting: Extreme Learning Machine as a Model Combination Method. Jeronymo Marcondes Pinto and Emerson Fernandes Marçal 365 Time Series Analysis and Prediction in Other Real Problems Load Forecast by Multi-Task Learning Models: Designed for a New Collaborative World. Leontina Pinto. Jacques Szczupak, and Robinson Semolini Power Transformer Forecasting in Smart Grids Using NARX Neural Networks
. J. Ramirez. F. J. Martinez-Murcia, F. Segovia, A. Ortiz, D. Salas-González. S. Carrillo. J. Leiva. J. Rodriguez-Rivero, and J. M. Gorriz 389 401 Short-Term Forecast of Emergency Departments Visits Through Calendar Selection. 415 Cosimo Lovecchio, Mauro Tucci. Sami Barmada, Andrea Serafini, Luigi Bechi. Mauro Breggia. Simona Dei. and Daniela Matarrese Discordant Observation Modelling. Sons a Leech and Bojan Bozie 427
xiv Applying Diebold-Mariano Test for Performance Evaluation Between Individual and Hybrid Time-Series Models for Modeling Bivariate Time-Series Data and Forecasting the Unemployment Rate in the USA. Chiuchis 44 іţ Firas Ahmmed Mohammed and Moumen Abbas Muusa Author Index. 4şo |
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| spelling | ITISE 2019 Granada Verfasser (DE-588)1229842039 aut Theory and applications of time series analysis selected contributions from ITISE 2019 Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas (editors) Cham Springer [2020] xiv, 460 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Contributions to statistics 1431-1968 (DE-588)1071861417 Konferenzschrift 2019 Granada 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 978-3-030-56219-9 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=032519436&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Theory and applications of time series analysis selected contributions from ITISE 2019 |
| subject_GND | (DE-588)1071861417 |
| title | Theory and applications of time series analysis selected contributions from ITISE 2019 |
| title_auth | Theory and applications of time series analysis selected contributions from ITISE 2019 |
| title_exact_search | Theory and applications of time series analysis selected contributions from ITISE 2019 |
| title_exact_search_txtP | Theory and applications of time series analysis selected contributions from ITISE 2019 |
| title_full | Theory and applications of time series analysis selected contributions from ITISE 2019 Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas (editors) |
| title_fullStr | Theory and applications of time series analysis selected contributions from ITISE 2019 Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas (editors) |
| title_full_unstemmed | Theory and applications of time series analysis selected contributions from ITISE 2019 Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas (editors) |
| title_short | Theory and applications of time series analysis |
| title_sort | theory and applications of time series analysis selected contributions from itise 2019 |
| title_sub | selected contributions from ITISE 2019 |
| topic_facet | Konferenzschrift 2019 Granada |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032519436&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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