{"product_id":"the-analysis-of-time-series-9781041085867","title":"The Analysis of Time Series: An Introduction with R","description":"The field of time series analysis has undergone a remarkable transformation since the publication of the seventh edition of this book. While classical statistical models such as autoregressive integrated moving average (ARIMA), state-space models, and spectral methods remain essential, the rise of artificial intelligence (AI) has introduced groundbreaking approaches to modelling, forecasting, and generating time-dependent data. This eighth edition of The Analysis of Time Series: An Introduction with R reflects these advancements with the addition of two new chapters: Predictive AI for Time Series and Generative AI for Time Series. These chapters bridge the gap between traditional time series methods and cutting-edge AI techniques, offering readers a comprehensive and integrated perspective on the field.   FeaturesComprehensive coverage of classical time series models including ARIMA, state-space models, and spectral methodsTwo new chapters on predictive and generative AI, introducing cutting-edge methods like transformers, variational autoencoders, and diffusion modelsPractical examples and illustrations using R, demonstrating the application of both classical and AI-based approaches to real-world time series dataEmphasis on the integration of classical statistical rigor with the flexibility and scalability of AI methodsClear explanations and intuitive insights, making advanced concepts accessible to a broad audienceUpdated content reflecting the latest developments in time series analysis, with a focus on modern, high-dimensional, and nonlinear data challengesThe Analysis of Time Series: An Introduction with R, Eighth Edition is designed for students, researchers, and practitioners in statistics, as well as in finance, economics, climate science, health, and engineering. It serves as both a foundational text for those new to time series analysis and a valuable resource for experienced analysts seeking to engage with the rapidly evolving landscape of predictive and generative AI. With its balance of theory, practical implementation, and real-world examples, the book is ideal for use in academic courses, professional training, and self-study.\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublication date:\u003c\/strong\u003e 16 August 2026\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePage count:\u003c\/strong\u003e 402\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e Height 234 mm; Width 156 mm\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublisher:\u003c\/strong\u003e Taylor \u0026amp; Francis Ltd\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e Hardback\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eISBN-13:\u003c\/strong\u003e 9781041085867\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Chris Chatfield","offers":[{"title":"Hardback","offer_id":50169817989370,"sku":"9781041085867","price":177.46,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/9781041085867.jpg?v=1787611337","url":"https:\/\/shulphink.com\/products\/the-analysis-of-time-series-9781041085867","provider":"Shulph Ink","version":"1.0","type":"link"}