Efficient Parameterization And Estimation Of Spatio Temporal Dynamic Models

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Efficient Parameterization and Estimation of Spatio-temporal Dynamic Models

Author : (Bill) Ke Xu
Publisher :
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4.:/5 (575 download)

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Book Synopsis Efficient Parameterization and Estimation of Spatio-temporal Dynamic Models by : (Bill) Ke Xu

Download or read book Efficient Parameterization and Estimation of Spatio-temporal Dynamic Models written by (Bill) Ke Xu and published by . This book was released on 2004 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation consists of two separate but related topics in spatio-temporal modeling. In the first part we investigate the problem of GEM (General EM) estimation of spatio-temporal models. We propose a spatio-temporal dynamic model formulation with parameter matrices further specified based on science and/or common spatial models. Several parame-terization strategies are proposed and analytical or computational closed form GEM update equations are derived for each. We apply the methodology to a diffusion space-time model in a simulation study and also apply a dimension-reduced model to a U.S. Palmer Drought Severity Index (PDSI) data set. In the second part we look at a convolution kernel approach to modeling diffusive propagation in the framework of Bayesian hierarchical spatio-temporal dynamic models. The diffusive propagation is modeled through the displacement of the convolution kernel. Computation efficiency is achieved by using the FFT and spectral dimension reduction. The method is applied to a thunderstorm nowcasting problem in Sydney, Australia.

Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems

Author : Han-Xiong Li
Publisher : Springer Science & Business Media
ISBN 13 : 940070741X
Total Pages : 175 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems by : Han-Xiong Li

Download or read book Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems written by Han-Xiong Li and published by Springer Science & Business Media. This book was released on 2011-02-24 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approaches. In this book, a systematic overview and classifi cation on the modeling of DPS is presented fi rst, which includes model reduction, parameter estimation and system identifi cation. Next, a class of block-oriented nonlinear systems in traditional lumped parameter systems (LPS) is extended to DPS, which results in the spatio-temporal Wiener and Hammerstein systems and their identifi cation methods. Then, the traditional Volterra model is extended to DPS, which results in the spatio-temporal Volterra model and its identification algorithm. All these methods are based on linear time/space separation. Sometimes, the nonlinear time/space separation can play a better role in modeling of very complex processes. Thus, a nonlinear time/space separation based neural modeling is also presented for a class of DPS with more complicated dynamics. Finally, all these modeling approaches are successfully applied to industrial thermal processes, including a catalytic rod, a packed-bed reactor and a snap curing oven. The work is presented giving a unifi ed view from time/space separation. The book also illustrates applications to thermal processes in the electronics packaging and chemical industry. This volume assumes a basic knowledge about distributed parameter systems, system modeling and identifi cation. It is intended for researchers, graduate students and engineers interested in distributed parameter systems, nonlinear systems, and process modeling and control.

Spatio-Temporal Models for Ecologists

Author : James Thorson
Publisher : CRC Press
ISBN 13 : 1003851835
Total Pages : 294 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Spatio-Temporal Models for Ecologists by : James Thorson

Download or read book Spatio-Temporal Models for Ecologists written by James Thorson and published by CRC Press. This book was released on 2024-02-27 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. However, spatio-temporal statistics is often presented using a set of principles that may seem very distant from ecological theory or practice. This book seeks to introduce a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics. We provide a step-by-step illustration of techniques that combine core spatial-analysis packages in R with low-level computation using Template Model Builder. Techniques are showcased using real-world data from varied ecological systems, providing a toolset for hierarchical modelling of spatio-temporal processes. Spatio-Temporal Models for Ecologists is meant for graduate level students, alongside applied and academic ecologists. Key Features: Foundational ecological principles and analyses Thoughtful and thorough ecological examples Analyses conducted using a minimal toolbox and fast computation Code using R and TMB included in the book and available online

Dissertation Abstracts International

Author :
Publisher :
ISBN 13 :
Total Pages : 924 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Dissertation Abstracts International by :

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2007 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Spatio-temporal Design

Author : Jorge Mateu
Publisher : John Wiley & Sons
ISBN 13 : 1118441885
Total Pages : 320 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Spatio-temporal Design by : Jorge Mateu

Download or read book Spatio-temporal Design written by Jorge Mateu and published by John Wiley & Sons. This book was released on 2012-11-05 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. A common problem set is interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to the problem at hand. Motivated by the high demand for statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to discuss optimum spatio-temporal sampling design. Spatio-temporal Design: Advances in Efficient Data Acquisition: Provides an up-to-date account of how to collect space-time data for monitoring, with a focus on statistical aspects and the latest computational methods Discusses basic methods and distinguishes between design and model-based approaches to collecting space-time data. Features model-based frequentist design for univariate and multivariate geostatistics, and second-phase spatial sampling. Integrates common data examples and case studies throughout the book in order to demonstrate the different approaches and their integration. Includes real data sets, data generating mechanisms and simulation scenarios. Accompanied by a supporting website featuring R code. Spatio-temporal Design presents an excellent book for graduate level students as well as a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.

Journal of the American Statistical Association

Author :
Publisher :
ISBN 13 :
Total Pages : 898 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis Journal of the American Statistical Association by :

Download or read book Journal of the American Statistical Association written by and published by . This book was released on 2009 with total page 898 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hierarchical Modelling for the Environmental Sciences

Author : James Samuel Clark
Publisher : Oxford University Press, USA
ISBN 13 : 019856967X
Total Pages : 216 pages
Book Rating : 4.1/5 (985 download)

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Book Synopsis Hierarchical Modelling for the Environmental Sciences by : James Samuel Clark

Download or read book Hierarchical Modelling for the Environmental Sciences written by James Samuel Clark and published by Oxford University Press, USA. This book was released on 2006 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: New statistical tools are changing the ways in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirement for a clear exposition of the methodology through to application for a range of environmental challenges.

Hierarchical Modeling and Analysis for Spatial Data, Second Edition

Author : Sudipto Banerjee
Publisher : CRC Press
ISBN 13 : 1439819173
Total Pages : 587 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Hierarchical Modeling and Analysis for Spatial Data, Second Edition by : Sudipto Banerjee

Download or read book Hierarchical Modeling and Analysis for Spatial Data, Second Edition written by Sudipto Banerjee and published by CRC Press. This book was released on 2014-09-12 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflects the major growth in spatial statistics as both a research area and an area of application. New to the Second Edition New chapter on spatial point patterns developed primarily from a modeling perspective New chapter on big data that shows how the predictive process handles reasonably large datasets New chapter on spatial and spatiotemporal gradient modeling that incorporates recent developments in spatial boundary analysis and wombling New chapter on the theoretical aspects of geostatistical (point-referenced) modeling Greatly expanded chapters on methods for multivariate and spatiotemporal modeling New special topics sections on data fusion/assimilation and spatial analysis for data on extremes Double the number of exercises Many more color figures integrated throughout the text Updated computational aspects, including the latest version of WinBUGS, the new flexible spBayes software, and assorted R packages The Only Comprehensive Treatment of the Theory, Methods, and Software This second edition continues to provide a complete treatment of the theory, methods, and application of hierarchical modeling for spatial and spatiotemporal data. It tackles current challenges in handling this type of data, with increased emphasis on observational data, big data, and the upsurge of associated software tools. The authors also explore important application domains, including environmental science, forestry, public health, and real estate.

City of Charlestown. Address on Washington by Edward Everett, at the Winthrop Church, on Wednesday Evening, April 30, 1856. At 8 O'clock

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (191 download)

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Book Synopsis City of Charlestown. Address on Washington by Edward Everett, at the Winthrop Church, on Wednesday Evening, April 30, 1856. At 8 O'clock by :

Download or read book City of Charlestown. Address on Washington by Edward Everett, at the Winthrop Church, on Wednesday Evening, April 30, 1856. At 8 O'clock written by and published by . This book was released on 1856 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Dynamic Data Driven Applications Systems

Author : Erik Blasch
Publisher : Springer
ISBN 13 : 3319955047
Total Pages : 734 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Erik Blasch

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Erik Blasch and published by Springer. This book was released on 2018-11-13 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in10 application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: Earth and Space Data Assimilation Aircraft Systems Processing Structures Health Monitoring Biological Data Assessment Object and Activity Tracking Embedded Control and Coordination Energy-Aware Optimization Image and Video Computing Security and Policy Coding Systems Design The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.

Handbook of Dynamic Data Driven Applications Systems

Author : Erik P. Blasch
Publisher : Springer Nature
ISBN 13 : 3030745686
Total Pages : 753 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Erik P. Blasch

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Erik P. Blasch and published by Springer Nature. This book was released on 2022-05-11 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University

The ISI International Conference on Environmental Statistics and Health

Author : Jorge Mateu
Publisher : Univ Santiago de Compostela
ISBN 13 : 9788497501545
Total Pages : 206 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis The ISI International Conference on Environmental Statistics and Health by : Jorge Mateu

Download or read book The ISI International Conference on Environmental Statistics and Health written by Jorge Mateu and published by Univ Santiago de Compostela. This book was released on 2003-07-10 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced State Space Methods for Neural and Clinical Data

Author : Zhe Chen
Publisher : Cambridge University Press
ISBN 13 : 1316352218
Total Pages : 397 pages
Book Rating : 4.3/5 (163 download)

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Book Synopsis Advanced State Space Methods for Neural and Clinical Data by : Zhe Chen

Download or read book Advanced State Space Methods for Neural and Clinical Data written by Zhe Chen and published by Cambridge University Press. This book was released on 2015-10-15 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.

Semantic Kriging for Spatio-temporal Prediction

Author : Shrutilipi Bhattacharjee
Publisher : Springer
ISBN 13 : 9811386641
Total Pages : 127 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Semantic Kriging for Spatio-temporal Prediction by : Shrutilipi Bhattacharjee

Download or read book Semantic Kriging for Spatio-temporal Prediction written by Shrutilipi Bhattacharjee and published by Springer. This book was released on 2019-07-01 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate. As such, the book also covers the process of deriving the meteorological parameters from raw satellite remote sensing imagery, and helps understanding different prediction method categories and the relation between spatial interpolation methods and other prediction methods. The book is a valuable resource for researchers working in the area of prediction of meteorological parameters, semantic analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.

EEG/MEG Source Reconstruction

Author : Thomas R. Knösche
Publisher : Springer Nature
ISBN 13 : 3030749185
Total Pages : 429 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis EEG/MEG Source Reconstruction by : Thomas R. Knösche

Download or read book EEG/MEG Source Reconstruction written by Thomas R. Knösche and published by Springer Nature. This book was released on 2022-10-01 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive and didactic introduction from the basics to the current state of the art in the field of EEG/MEG source reconstruction. Reconstructing the generators or sources of electroencephalographic and magnetoencephalographic (EEG/MEG) signals is an important problem in basic neuroscience as well as clinical research and practice. Over the past few decades, an entire theory, together with a whole collection of algorithms and techniques, has developed. In this textbook, the authors provide a unified perspective on a broad range of EEG/MEG source reconstruction methods, with particular emphasis on their respective assumptions about sources, data, head tissues, and sensor properties. An introductory chapter highlights the concept of brain imaging and the particular importance of the neuroelectromagnetic inverse problem. This is followed by an in-depth discussion of neural information processing and brain signal generation and an introduction to the practice of data acquisition. Next, the relevant mathematical models for the sources of EEG and MEG are discussed in detail, followed by the neuroelectromagnetic forward problem, that is, the prediction of EEG or MEG signals from those source models, using biophysical descriptions of the head tissues and the sensors. The main part of this textbook is dedicated to the source reconstruction methods. The authors present a theoretical framework of the neuroelectromagnetic inverse problem, centered on Bayes’ theorem, which then serves as the basis for a detailed description of a large variety of techniques, including dipole fit methods, distributed source reconstruction, spatial filters, and dynamic source reconstruction methods. The final two chapters address the important topic of assessment, including verification and validation of source reconstruction methods, and their actual application to real-world scientific and clinical questions. This book is intended as basic reading for anybody who is engaged with EEG/MEG source reconstruction, be it as a method developer or as a user, including advanced undergraduate students, PhD students, and postdocs in neuroscience, biomedical engineering, and related fields.

Agricultural land and environmental risks: Evidence, assessment and conservation transition

Author : Xiangbin Kong
Publisher : Frontiers Media SA
ISBN 13 : 2832543987
Total Pages : 209 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Agricultural land and environmental risks: Evidence, assessment and conservation transition by : Xiangbin Kong

Download or read book Agricultural land and environmental risks: Evidence, assessment and conservation transition written by Xiangbin Kong and published by Frontiers Media SA. This book was released on 2024-02-01 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Photonic Neural Networks with Spatiotemporal Dynamics

Author : Hideyuki Suzuki
Publisher : Springer Nature
ISBN 13 : 9819950724
Total Pages : 277 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Photonic Neural Networks with Spatiotemporal Dynamics by : Hideyuki Suzuki

Download or read book Photonic Neural Networks with Spatiotemporal Dynamics written by Hideyuki Suzuki and published by Springer Nature. This book was released on 2023-10-16 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.