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1. Journal of time series analysis
: a journal sponsored by the Bernoulli Society for Mathematical Statistics and Probability
Bernoulli Society for Mathematical Statistics and Probability
Journal of time series analysis, ISSN 0143-9782, 1980
Periodicals | Time-series analysis
Journal
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2. Time series analysis
: with applications in R
by Cryer, Jonathan D and Chan, Kung-sik
2008, 2nd ed., Springer texts in statistics., ISBN 0387759581, xiii, 491
Data processing | Time-series analysis | R (Computer program language)
Book
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3. Full Text Time-series data mining
by Esling, Philippe and Agon, Carlos
ACM computing surveys, ISSN 0360-0300, 11/2012, Volume 45, Issue 1, pp. 1 - 34
similarity measures | data indexing | data mining | stream analysis | sequence matching | time series | query by content | temporal analysis | Distance measures | Computer Science, Theory & Methods | Technology | Computer Science | Science & Technology | Data processing. List processing. Character string processing | Inference from stochastic processes; time series analysis | Memory organisation. Data processing | Exact sciences and technology | Applied sciences | Mathematics | Probability and statistics | Software | Statistics | Sciences and techniques of general use | Computer science; control theory; systems | Information storage and retrieval | Algorithms | Data mining | Analysis | Studies | Data collection | Research methodology | Time series | Collection
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4. Time series
: modeling, computation, and inference
by Prado, Raquel and West, Mike, 1959
2010, Chapman & Hall/CRC texts in statistical science series, ISBN 1420093363, xx, 353
Time-series analysis
Book
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5. Statistical inference for stochastic processes
Université de Paris. Institut de Statistique
Statistical inference for stochastic processes, ISSN 1387-0874, 1998
Mathematical statistics | Stochastic processes
Journal
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6. Full Text Stochastic Models for Time Series
by Doukhan, Paul
2018, Mathematiques et Applications, ISBN 9783319769370, Volume 80, 322
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7. Time series
: theory and methods
by Brockwell, Peter J and Davis, Richard A
1991, 2nd ed. --, Springer series in statistics., ISBN 0387974296, xvi, 577
Time-series analysis
Book
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8. An introduction to time series and forecasting
by Brockwell, Peter J and Davis, Richard A
1996, Springer texts in statistics., ISBN 9780387947198, xiii, 420
Time-series analysis
Book
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9. Spectral analysis and time series
by Priestley, M. B
1981, ISBN 0125649029, 2 v.
Time-series analysis | Spectral theory (Mathematics)
Book
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10. Time series analysis
: identification and adaptive filtering
by Graupe, Daniel
1989, 2nd ed., ISBN 0898463150, xvii, 420
Filters (mathematics) | Time-series analysis
Book
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11. Full Text Forecasting economic time series using targeted predictors
by Bai, Jushan and Ng, Serena
Journal of econometrics, ISSN 0304-4076, 2008, Volume 146, Issue 2, pp. 304 - 317
Diffusion index | Factor models | LARS | Hard thresholding | LASSO | Inference from stochastic processes; time series analysis | Applications | Global analysis, analysis on manifolds | Insurance, economics, finance | Exact sciences and technology | Mathematics | Topology. Manifolds and cell complexes. Global analysis and analysis on manifolds | Probability and statistics | Multivariate analysis | Statistics | Sciences and techniques of general use | Diffusion index Factor models LASSO LARS Hard thresholding | Studies | Inflation | Housing starts | Time series | Economic forecasting | Estimating techniques
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12. Statistics for long-memory processes
by Beran, Jan, 1959
1994, 1, Monographs on statistics and applied probability (Series), ISBN 0412049015, Volume 61, x, 315
Mathematical statistics | Stochastic processes | Statistical Theory & Methods
Book
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13. Full Text Regularly varying multivariate time series
by Basrak, Bojan and Segers, Johan
Stochastic processes and their applications, ISSN 0304-4149, 2009, Volume 119, Issue 4, pp. 1055 - 1080
Mixing | Stable random vector | Heavy tails | Vague convergence | Weak convergence | Point processes | Clusters of extremes | Stochastic recurrence equation | Stationary time series | Autoregressive process | Extremal index | Multivariate regular variation | Tail process | Factor GARCH model | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Stochastic analysis | Inference from stochastic processes; time series analysis | Stochastic processes | Exact sciences and technology | Probability theory and stochastic processes | Nonparametric inference | Probability and statistics | Statistics | Sciences and techniques of general use | Autoregressive process Clusters of extremes Extremal index Factor GARCH model Heavy tails Mixing Multivariate regular variation Point processes Stable random vector Stationary time series Stochastic recurrence equation Tail process Vague convergence Weak convergence | Analysis | Algorithms
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14. Full Text Neural network ensemble operators for time series forecasting
by Kourentzes, Nikolaos and Barrow, Devon K and Crone, Sven F
Expert systems with applications, ISSN 0957-4174, 07/2014, Volume 41, Issue 9, pp. 4235 - 4244
Mean | Neural networks | Combination | Time series | Mode estimation | Median | Kernel density estimation | Forecasting | Ensembles | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology | Inference from stochastic processes; time series analysis | Exact sciences and technology | Nonparametric inference | Applied sciences | Connectionism. Neural networks | Mathematics | Probability and statistics | Sampling theory, sample surveys | Statistics | Artificial intelligence | Sciences and techniques of general use | Computer science; control theory; systems | Operators | Automation | Mathematical models | Deviation | Density
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15. Time series analysis
: univariate and multivariate methods
by Wei, William W. S
1990, ISBN 0201166593, xv, 479
Time-series analysis
Book
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16. Full Text Time Series Analysis and Forecasting
: Selected Contributions from ITISE 2017
by Rojas, Ignacio and Pomares, Héctor and Valenzuela, Olga
2018, Contributions to Statistics, ISBN 9783319969435, 332
Time-series analysis-Congresses
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17. Full Text Quasi-Maximum-Likelihood Estimation in Conditionally Heteroscedastic Time Series: A Stochastic Recurrence Equations Approach
by Daniel Straumann and Thomas Mikosch
The Annals of statistics, ISSN 0090-5364, 10/2006, Volume 34, Issue 5, pp. 2449 - 2495
Ergodic theory | Economic models | Time series models | Mathematical theorems | Estimation and Prediction in Time Series | Time series | Invertibility | Uniqueness | Random variables | Consistent estimators | Estimators | Stochastic recurrence equation | Asymptotic normality | Exponential GARCH | Consistency | Stationarity | Conditionally heteroscedastic time series | GARCH | EGARCH | Quasi-maximum-likelihood estimation | Asymmetric GARCH | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Probability and statistics | Inference from stochastic processes; time series analysis | Statistics | Exact sciences and technology | Sciences and techniques of general use | Studies | Mathematical models | Estimating techniques | invertibility | 62M10 | exponential GARCH | conditionally heteroscedastic time series | quasi-maximum-likelihood estimation | 62M05 | asymmetric GARCH | consistency | asymptotic normality | 62F10 | 62F12 | 91B84 | stationarity | 60H25
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18. Full Text Mathematical Foundations of Time Series Analysis
: A Concise Introduction
by Beran, Jan
2018, ISBN 9783319743783, 309
Time-series analysis-Mathematics | Time-series analysis
eBook
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19. Full Text Recursive estimation and time-series analysis
: an introduction for the student and practitioner
by Young, Peter C
2011, 2nd ed., ISBN 3642219802, xvii, 504
Time-series analysis | Estimation theory
eBook
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