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Titlebook: Mixture and Hidden Markov Models with R; Ingmar Visser,Maarten Speekenbrink Textbook 2022 Springer Science+Business Media, LLC, part of Sp

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發(fā)表于 2025-3-21 18:58:06 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mixture and Hidden Markov Models with R
編輯Ingmar Visser,Maarten Speekenbrink
視頻videohttp://file.papertrans.cn/636/635248/635248.mp4
概述Provides a unified and comprehensive treatment of mixture and hidden Markov models.Provides many practical R examples on applications in the behavioral and social sciences.Suitable for advanced studen
叢書名稱Use R!
圖書封面Titlebook: Mixture and Hidden Markov Models with R;  Ingmar Visser,Maarten Speekenbrink Textbook 2022 Springer Science+Business Media, LLC, part of Sp
描述.This book discusses mixture and hidden Markov models for modeling behavioral data.?Mixture and hidden Markov models are statistical models which are useful when an observed system occupies a number of distinct “regimes” or unobserved (hidden) states. These models are widely used in a variety of fields, including artificial intelligence, biology, finance, and psychology. Hidden Markov models can be viewed as an extension of mixture models, to model transitions between states over time. Covering both mixture and hidden Markov models in a single book allows main concepts and issues to be introduced in the relatively simpler context of mixture models. After a thorough treatment of the theory and practice of mixture modeling, the conceptual leap towards hidden Markov models is relatively straightforward.?.This book provides many practical examples?illustrating?the wide variety of uses of the models. These examples are drawn from our own work in psychology, as well as other areas such as financial time series and climate data. Most examples illustrate the use of the authors’ depmixS4 package, which provides a flexible framework to construct and estimate mixture and hidden Markov models.
出版日期Textbook 2022
關(guān)鍵詞maximum likelihood estimation; statistical theory; R programming; univariate; multivariate; time series; B
版次1
doihttps://doi.org/10.1007/978-3-031-01440-6
isbn_ebook978-3-031-01440-6Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2022
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2197-5736 such as financial time series and climate data. Most examples illustrate the use of the authors’ depmixS4 package, which provides a flexible framework to construct and estimate mixture and hidden Markov models.978-3-031-01440-6Series ISSN 2197-5736 Series E-ISSN 2197-5744
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Springer Science+Business Media, LLC, part of Springer Nature 2022
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Use R!http://image.papertrans.cn/m/image/635248.jpg
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Textbook 2022useful when an observed system occupies a number of distinct “regimes” or unobserved (hidden) states. These models are widely used in a variety of fields, including artificial intelligence, biology, finance, and psychology. Hidden Markov models can be viewed as an extension of mixture models, to mod
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Aflatoxin Biosynthesis,omplicated process involving a chain of reactions which are catalyzed by various enzymes encoded by genes present on aflatoxin cluster. The genetic variations among different fungal strains can impact the final compound being produced. This chapter focuses on the biosynthetic pathway for aflatoxin p
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