gaussian process

gaussian processの商品一覧です。「Stochastic Analysis of Mixed Fractional Gaussian Processes【電子書籍】[ Yuliya Mishura ]」(￥12,852)や「Gaussian Processes on Trees From Spin Glasses to Branching Brownian Motion【電子書籍】[ Anton Bovier ]」(￥8,118)、「Nonlinear System Identification From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes【電子書籍】[ Oliver Nelles ]」(￥12,154)など

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gaussian process

Nonlinear System Identification From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes【電子書籍】 Oliver Nelles

Bayesian Reasoning and Gaussian Processes for Machine Learning Applications【電子書籍】

Stable Non-Gaussian Random Processes Stochastic Models with Infinite Variance【電子書籍】 Gennady Samoradnitsky

Modelling and Control of Dynamic Systems Using Gaussian Process Models【電子書籍】 Ju Kocijan

（出版社）The MIT Press Gaussian Processes for Machine Learning 1冊 978-0-262-18253-9

Stable Non-Gaussian Self-Similar Processes with Stationary Increments【電子書籍】 Murad S. Taqqu

Asymptotic Properties of Permanental Sequences Related to Birth and Death Processes and Autoregressive Gaussian Sequences【電子書籍】 Michael B. Marcus

【中古】【輸入品未使用】Stochastic Analysis for Gaussian Random Processes and Fields: With Applications (Chapman Hall/CRC Monographs on Statistics and Applie

洋書 Paperback, Modelling and Control of Dynamic Systems Using Gaussian Process Models (Advances in Industrial Control)

Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in DETECTION ESTIMATION MODULAT Harry L. Van Trees

Lectures on Gaussian Processes【電子書籍】 Mikhail Lifshits

Non-Gaussian Selfsimilar Stochastic Processes【電子書籍】 Ciprian Tudor

Surrogates Gaussian Process Modeling, Design, and Optimization for the Applied Sciences【電子書籍】 Robert B. Gramacy

Stochastic Analysis of Mixed Fractional Gaussian Processes【電子書籍】[ Yuliya Mishura ]

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価格￥12,852

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＜p＞＜em＞Stochastic Analysis of Mixed Fractional Gaussian Processes＜/em＞ presents the main tools necessary to characterize Gaussian processes. The book focuses on the particular case of the linear combination of independent fractional and sub-fractional Brownian motions with different Hurst indices. Stochastic integration with respect to these processes is considered, as is the study of the existence and uniqueness of solutions of related SDE's. Applications in finance and statistics are also explored, with each chapter supplying a number of exercises to illustrate key concepts.＜/p＞＜ul＞＜li＞Presents both mixed fractional and sub-fractional Brownian motions＜/li＞＜li＞Provides an accessible description for mixed fractional gaussian processes that is ideal for Master's and PhD students＜/li＞＜li＞Includes different Hurst indices＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらを...

Gaussian Processes on Trees From Spin Glasses to Branching Brownian Motion【電子書籍】[ Anton Bovier ]

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価格￥8,118

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＜p＞Branching Brownian motion (BBM) is a classical object in probability theory with deep connections to partial differential equations. This book highlights the connection to classical extreme value theory and to the theory of mean-field spin glasses in statistical mechanics. Starting with a concise review of classical extreme value statistics and a basic introduction to mean-field spin glasses, the author then focuses on branching Brownian motion. Here, the classical results of Bramson on the asymptotics of solutions of the F-KPP equation are reviewed in detail and applied to the recent construction of the extremal process of BBM. The extension of these results to branching Brownian motion with variable speed are then explained. As a self-contained exposition that is accessible to graduate students with some background in probability theory, this book makes a good introduction for anyone interested in accessing this exciting field of mathematics.＜/p＞画面が切り替わりますので、し...

Nonlinear System Identification From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes【電子書籍】[ Oliver Nelles ]

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価格￥12,154

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＜p＞This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems with confidence, while also making them aware of potential difficulties that may arise in practice.＜/p＞＜p＞Moreover, the book is self-contained, requiring only a basic grasp of matrix algebra, signals and systems, and statistics. Accordingly, it can also serve as an introduction to linear system identification, and provides a practical overview of the major optimization methods used in engineering. The focus is on gaining an intuitive understanding of the subject and the practical application of the techniques discussed. The book is not written in a theorem/proof style; instead, the mathematics is kept to a minimum, and the ideas covered are illustrated with numerous figures, examples, and real-world applications.＜/p＞＜p＞In the past, no...

Bayesian Reasoning and Gaussian Processes for Machine Learning Applications【電子書籍】

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価格￥8,945

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＜p＞This book introduces Bayesian reasoning and Gaussian processes into machine learning applications. Bayesian methods are applied in many areas, such as game development, decision making, and drug discovery. It is very effective for machine learning algorithms in handling missing data and extracting information from small datasets. ＜strong＞Bayesian Reasoning and Gaussian Processes for Machine Learning Applications＜/strong＞ uses a statistical background to understand continuous distributions and how learning can be viewed from a probabilistic framework. The chapters progress into such machine learning topics as belief network and Bayesian reinforcement learning, which is followed by Gaussian process introduction, classification, regression, covariance, and performance analysis of Gaussian processes with other models.＜/p＞＜p＞FEATURES＜/p＞＜ul＞＜li＞＜/li＞＜li＞Contains recent advancements in machine learning＜/li＞＜li＞＜/li＞＜li＞Highlights applications of machin...

Stable Non-Gaussian Random Processes Stochastic Models with Infinite Variance【電子書籍】[ Gennady Samoradnitsky ]

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価格￥32,047

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＜p＞This book serves as a standard reference, making this area accessible not only to researchers in probability and statistics, but also to graduate students and practitioners. The book assumes only a first-year graduate course in probability. Each chapter begins with a brief overview and concludes with a wide range of exercises at varying levels of difficulty. The authors supply detailed hints for the more challenging problems, and cover many advances made in recent years.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。

Modelling and Control of Dynamic Systems Using Gaussian Process Models【電子書籍】[ Ju? Kocijan ]

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価格￥17,016

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＜p＞This monograph opens up new horizons for engineers and researchers in academia and in industry dealing with or interested in new developments in the field of system identification and control. It emphasizes guidelines for working solutions and practical advice for their implementation rather than the theoretical background of Gaussian process (GP) models. The book demonstrates the potential of this recent development in probabilistic machine-learning methods and gives the reader an intuitive understanding of the topic. The current state of the art is treated along with possible future directions for research.＜/p＞＜p＞Systems control design relies on mathematical models and these may be developed from measurement data. This process of system identification, when based on GP models, can play an integral part of control design in data-based control and its description as such is an essential aspect of the text. The background of GP regression is introduced first with system ide...

（出版社）The MIT Press Gaussian Processes for Machine Learning 1冊 978-0-262-18253-9

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価格￥10,511

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（出版社）The　MIT　Press Gaussian Processes for Machine Learning 1冊●著者：Rasmussen, Carl Edward/Williams, Christopher K I●頁数他：272 p.●装丁：Hard●出版社：The MIT Press●発行日：2006/1/10

Stable Non-Gaussian Self-Similar Processes with Stationary Increments【電子書籍】[ Murad S. Taqqu ]

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価格￥2,430

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＜p＞This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The authors present a way to describe and classify these processes by relating them to so-called deterministic flows. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity. In-depth appendices are also included.＜/p＞＜p＞This book is aimed at graduate students and researchers working in probability theory and statistics.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。

Asymptotic Properties of Permanental Sequences Related to Birth and Death Processes and Autoregressive Gaussian Sequences【電子書籍】[ Michael B. Marcus ]

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価格￥3,208

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＜p＞This SpringerBriefs employs a novel approach to obtain the precise asymptotic behavior at infinity of a large class of permanental sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes and Markov chains.＜/p＞＜p＞The authors study alpha-permanental processes that are positive infinitely divisible processes determined by the potential density of a transient Markov process. When the Markov process is symmetric, a 1/2-permanental process is the square of a Gaussian process. Permanental processes are related by the Dynkin isomorphism theorem to the total accumulated local time of the Markov process when the potential density is symmetric, and by a generalization of the Dynkin theorem by Eisenbaum and Kaspi without requiring symmetry. Permanental processes are also related to chi square processes and loop soups.＜/p＞＜p＞The book appeals to researchers and advanced graduate students interested ...

【中古】【輸入品・未使用】Stochastic Analysis for Gaussian Random Processes and Fields: With Applications (Chapman & Hall/CRC Monographs on Statistics and Applie

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価格￥46,729

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【中古】【輸入品・未使用】Stochastic Analysis for Gaussian Random Processes and Fields: With Applications (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)【メーカー名】Chapman and Hall/CRC【メーカー型番】【ブランド名】Chapman and Hall/CRC【商品説明】Stochastic Analysis for Gaussian Random Processes and Fields: With Applications (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)当店では初期不良に限り、商品到着から7日間は返品を受付けております。こちらは海外販売用に買取り致しました未使用品です。買取り致しました為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承下さい。速やかにご返金させて頂きます。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、配送⇒当店海外倉庫から取り寄せの場合は10〜30日程度でのお届けとなります。国内到着後、発送の際に通知にてご連絡致します。国内倉庫からの場合は3〜7日でのお届けとなります。　※離島、北海道、九州、沖縄は...

洋書 Paperback, Modelling and Control of Dynamic Systems Using Gaussian Process Models (Advances in Industrial Control)

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価格￥28,741

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in DETECTION ESTIMATION & MODULAT [ Harry L. Van Trees ]

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価格￥44,792

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DETECTION ESTIMATION & MODULAT Harry L. Van Trees KRIEGER PUB CO2011 Hardcover English ISBN：9780894647482 洋書 Computers & Science（コンピューター＆科学） Technology

Lectures on Gaussian Processes【電子書籍】[ Mikhail Lifshits ]

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価格￥8,507

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＜p＞Gaussian processes can be viewed as a far-reaching infinite-dimensional extension of classical normal random variables. Their theory presents a powerful range of tools for probabilistic modelling in various academic and technical domains such as Statistics, Forecasting, Finance, Information Transmission, Machine Learning - to mention just a few. The objective of these Briefs is to present a quick and condensed treatment of the core theory that a reader must understand in order to make his own independent contributions. The primary intended readership are PhD/Masters students and researchers working in pure or applied mathematics. The first chapters introduce essentials of the classical theory of Gaussian processes and measures with the core notions of reproducing kernel, integral representation, isoperimetric property, large deviation principle. The brevity being a priority for teaching and learning purposes, certain technical details and proofs are omitted. The later chapters ...

Non-Gaussian Selfsimilar Stochastic Processes【電子書籍】[ Ciprian Tudor ]

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価格￥6,076

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＜p＞This book offers an introduction to the field of stochastic analysis of Hermite processes. These selfsimilar stochastic processes with stationary increments live in a Wiener chaos and include the fractional Brownian motion, the only Gaussian process in this class.＜/p＞＜p＞Using the Wiener chaos theory and multiple stochastic integrals, the book covers the main properties of Hermite processes and their multiparameter counterparts, the Hermite sheets. It delves into the probability distribution of these stochastic processes and their sample paths, while also presenting the basics of stochastic integration theory with respect to Hermite processes and sheets.＜/p＞＜p＞The book goes beyond theory and provides a thorough analysis of physical models driven by Hermite noise, including the Hermite Ornstein-Uhlenbeck process and the solution to the stochastic heat equation driven by such a random perturbation. Moreover, it explores up-to-date topics central to current research in st...

Surrogates Gaussian Process Modeling, Design, and Optimization for the Applied Sciences【電子書籍】[ Robert B. Gramacy ]

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価格￥7,343

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＜p＞Computer simulation experiments are essential to modern scientific discovery, whether that be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are meta-models of computer simulations, used to solve mathematical models that are too intricate to be worked by hand. Gaussian process (GP) regression is a supremely flexible tool for the analysis of computer simulation experiments. This book presents an applied introduction to GP regression for modelling and optimization of computer simulation experiments.＜/p＞＜p＞Features:＜br /＞ ? Emphasis on methods, applications, and reproducibility.＜br /＞ ? R code is integrated throughout for application of the methods.＜br /＞ ? Includes more than 200 full colour figures.＜br /＞ ? Includes many exercises to supplement understanding, with separate solutions available from the author.＜br /＞ ? Supported by a website with full code available to reproduce all methods and examples.＜/p＞＜p＞The book is pri...

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