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11 produkter

  1. Yury A. Kutoyants - Identification of Dynamical Systems with Small Noise, Inbunden. Tillgänglighet: Lägg i varukorg

    Identification of Dynamical Systems with Small Noise

    Av Yury A. Kutoyants

    Inbunden, 1994

    1096 kr

    Lägg i varukorg

    Small noise is a good noise. In this work, we are interested in the problems of estimation theory concerned with observations of the diffusion-type process Xo = Xo, 0 ~ t ~ T, (0. 1) where W is a standard Wiener process and St(') is some nonanticipative smooth t function. By the observations X = {X …

  2. Yury A. Kutoyants - Statistical Inference for Ergodic Diffusion Processes, E-bok. Tillgänglighet: Lägg i varukorg

    Statistical Inference for Ergodic Diffusion Processes

    Av Yury A. Kutoyants

    E-bok, 2013

    1570 kr

    Lägg i varukorg

    Statistical Inference for Ergodic Diffusion Processes encompasses a wealth of results from over ten years of mathematical literature. It provides a comprehensive overview of existing techniques, and presents - for the first time in book form - many new techniques and approaches. An elementary …

  3. Yury A. Kutoyants - Statistical Inference for Ergodic Diffusion Processes, Häftad. Tillgänglighet: Lägg i varukorg

    Statistical Inference for Ergodic Diffusion Processes

    Av Yury A. Kutoyants

    Häftad, 2010

    1259 kr

    Lägg i varukorg

    Statistical Inference for Ergodic Diffusion Processes encompasses a wealth of results from over ten years of mathematical literature. It provides a comprehensive overview of existing techniques, and presents - for the first time in book form - many new techniques and approaches. An elementary …

  4. Yury A. Kutoyants - Statistical Inference for Ergodic Diffusion Processes, Inbunden. Tillgänglighet: Lägg i varukorg

    Statistical Inference for Ergodic Diffusion Processes

    Av Yury A. Kutoyants

    Inbunden, 2003

    1749 kr

    Lägg i varukorg

    Statistical Inference for Ergodic Diffusion Processes encompasses a wealth of results from over ten years of mathematical literature. It provides a comprehensive overview of existing techniques, and presents - for the first time in book form - many new techniques and approaches. An elementary …

  5. Yury A. Kutoyants - Introduction to the Statistics of Poisson Processes and Applications, Inbunden. Tillgänglighet: Lägg i varukorg

    Introduction to the Statistics of Poisson Processes and Applications

    Av Yury A. Kutoyants

    Inbunden, 2023

    1858 kr

    Lägg i varukorg

    This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identification, i.e. the solution of certain estimation or hypothesis testing problems based on the given dataset. These processes are mathematically easy-to-handle and appear in numerous …

  6. Yury A. Kutoyants - Introduction to the Statistics of Poisson Processes and Applications, E-bok. Tillgänglighet: Lägg i varukorg

    Introduction to the Statistics of Poisson Processes and Applications

    Av Yury A. Kutoyants

    E-bok, 2023

    2437 kr

    Lägg i varukorg

    This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identification, i.e. the solution of certain estimation or hypothesis testing problems based on the given dataset. These processes are mathematically easy-to-handle and appear in numerous …

  7. Yury A. Kutoyants - Introduction to the Statistics of Poisson Processes and Applications, Häftad. Tillgänglighet: Lägg i varukorg

    Introduction to the Statistics of Poisson Processes and Applications

    Av Yury A. Kutoyants

    Häftad, 2024

    1858 kr

    Lägg i varukorg

    This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identification, i.e. the solution of certain estimation or hypothesis testing problems based on the given dataset. These processes are mathematically easy-to-handle and appear in numerous …

  8. Yury A. Kutoyants - Hidden Markov Processes and Adaptive Filtering, Inbunden. Tillgänglighet: Lägg i varukorg

    Hidden Markov Processes and Adaptive Filtering

    Av Yury A. Kutoyants

    Inbunden, 2025

    1967 kr

    Lägg i varukorg

    This book is devoted to the problem of adaptive filtering for partially observed systems depending on unknown parameters. Adaptive filters are proposed for a wide variety of models: Gaussian and conditionally Gaussian linear models of diffusion processes; some nonlinear models; telegraph signals in …

  9. Yury A. Kutoyants - Hidden Markov Processes and Adaptive Filtering, E-bok. Tillgänglighet: Lägg i varukorg

    Hidden Markov Processes and Adaptive Filtering

    Av Yury A. Kutoyants

    E-bok, 2025

    2599 kr

    Lägg i varukorg

    This book is devoted to the problem of adaptive filtering for partially observed systems depending on unknown parameters. Adaptive filters are proposed for a wide variety of models: Gaussian and conditionally Gaussian linear models of diffusion processes; some nonlinear models; telegraph signals in …

  10. Yury A. Kutoyants - Identification of Dynamical Systems with Small Noise, Häftad. Tillgänglighet: Lägg i varukorg

    Identification of Dynamical Systems with Small Noise

    Av Yury A. Kutoyants

    Häftad, 2012

    1096 kr

    Lägg i varukorg

    Small noise is a good noise. In this work, we are interested in the problems of estimation theory concerned with observations of the diffusion-type process Xo = Xo, 0 ~ t ~ T, (0. 1) where W is a standard Wiener process and St(') is some nonanticipative smooth t function. By the observations X = {X …

  11. Yury A. Kutoyants - Identification of Dynamical Systems with Small Noise, E-bok. Tillgänglighet: Lägg i varukorg

    Identification of Dynamical Systems with Small Noise

    Av Yury A. Kutoyants

    E-bok, 2012

    1459 kr

    Lägg i varukorg

    Small noise is a good noise. In this work, we are interested in the problems of estimation theory concerned with observations of the diffusion-type process Xo = Xo, 0 ~ t ~ T, (0. 1) where W is a standard Wiener process and St('') is some nonanticipative smooth t function. By the observations X = …