{"product_id":"the-analysis-of-time-series-haipeng-xing-9781041026334","title":"The Analysis of Time Series: An Introduction with R","description":"\u003cp\u003eThe 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 \u003cstrong\u003eThe Analysis of Time Series: An Introduction with R \u003c\/strong\u003ereflects 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eComprehensive coverage of classical time series models including ARIMA, state-space models, and spectral methods\u003c\/li\u003e \u003cli\u003eTwo new chapters on predictive and generative AI, introducing cutting-edge methods like transformers, variational autoencoders, and diffusion models\u003c\/li\u003e \u003cli\u003ePractical examples and illustrations using R, demonstrating the application of both classical and AI-based approaches to real-world time series data\u003c\/li\u003e \u003cli\u003eEmphasis on the integration of classical statistical rigor with the flexibility and scalability of AI methods\u003c\/li\u003e \u003cli\u003eClear explanations and intuitive insights, making advanced concepts accessible to a broad audience\u003c\/li\u003e \u003cli\u003eUpdated content reflecting the latest developments in time series analysis, with a focus on modern, high-dimensional, and nonlinear data challenges\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eThe Analysis of Time Series: An Introduction with R, Eighth Edition\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Haipeng Xing,Chris Chatfield\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1041026331\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781041026334\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/17\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 402\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.29lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.86d","brand":"Haipeng Xing","offers":[{"title":"Paperback","offer_id":48997466996991,"sku":"9781041026334","price":84.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/the-analysis-of-time-series-haipeng-xing-9781041026334","provider":"WR Book House","version":"1.0","type":"link"}