Recent Developments In Nonparametric Inference And Probability
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Recent Developments In Nonparametric Inference And Probability
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Author :
language : en
Publisher: IMS
Release Date : 2006
Recent Developments In Nonparametric Inference And Probability written by and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Nonparametric statistics categories.
Journal Of Rehabilitation Research Development
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Author :
language : en
Publisher:
Release Date : 2008
Journal Of Rehabilitation Research Development written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Disabled veterans categories.
Journal Of Rehabilitation R D
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Author :
language : en
Publisher:
Release Date : 2008
Journal Of Rehabilitation R D written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Prosthesis categories.
Nonparametric Density Estimation
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Author : Luc Devroye
language : en
Publisher: New York ; Toronto : Wiley
Release Date : 1985-01-18
Nonparametric Density Estimation written by Luc Devroye and has been published by New York ; Toronto : Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-01-18 with Mathematics categories.
This book gives a rigorous, systematic treatment of density estimates, their construction, use and analysis with full proofs. It develops L1 theory, rather than the classical L2, showing how L1 exposes fundamental properties of density estimates masked by L2.
Data Depth
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Author : Regina Y. Liu
language : en
Publisher: American Mathematical Soc.
Release Date :
Data Depth written by Regina Y. Liu and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
The book is a collection of some of the research presented at the workshop of the same name held in May 2003 at Rutgers University. The workshop brought together researchers from two different communities: statisticians and specialists in computational geometry. The main idea unifying these two research areas turned out to be the notion of data depth, which is an important notion both in statistics and in the study of efficiency of algorithms used in computational geometry. Many ofthe articles in the book lay down the foundations for further collaboration and interdisciplinary research. Information for our distributors: Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with theAssociation for Computer Machinery (ACM).
Advances In Therapeutic Engineering
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Author : Wenwei Yu
language : en
Publisher: CRC Press
Release Date : 2012-12-03
Advances In Therapeutic Engineering written by Wenwei Yu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-03 with Medical categories.
Therapeutic Engineering (TE) is a cutting-edge domain in today’s era of medical technology research. Through engineering algorithms that provide technological solutions, it aims to elevate the quality of life of disabled individuals. Advances in Therapeutic Engineering describes various therapeutic processes and mechanisms currently applied to the field of healthcare in a range of areas, including mobility, communications, hearing, vision, and mental health and cognition. The book explores research and advances in the areas of hand-eye coordination, motor function, the biomechanics of lower limbs, and treatment of spinal diseases and neural plasticity. It discusses electrical stimulation methodologies for improving human gait. It also examines prosthetic devices and assistive technology, induction heater-based treatment, and inclusive user modelling and simulation. Additional chapters cover automated asthma detection using clinico–spirometric information, computer-aided diagnostic modules for malaria screening, and various data mining techniques that have been developed and successfully implemented in healthcare management. The contributors also examine semantic interoperability issues in e-health systems and clinical decision support systems (CDSSs) Ranging from prosthetics to sensory substitution and medical robotics, the book will prove enlightening to researchers and practitioners in a host of disciplines who want to understand the recent advances achieved globally in the field of therapeutic engineering.
Recent Advances In Stochastic Modeling And Data Analysis
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Author : Christos H. Skiadas
language : en
Publisher: World Scientific
Release Date : 2007
Recent Advances In Stochastic Modeling And Data Analysis written by Christos H. Skiadas and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different fields are emphasized, especially new optimization and statistical methods, data warehouse, data mining and knowledge systems, neural computing, and bioinformatics.
Financial Statistics And Mathematical Finance
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Author : Ansgar Steland
language : en
Publisher: John Wiley & Sons
Release Date : 2012-06-21
Financial Statistics And Mathematical Finance written by Ansgar Steland and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-21 with Business & Economics categories.
Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance. Explains the use and importance of statistical methods in econometrics and financial engineering. Illustrates the importance of derivatives and calculus to aid understanding in methods and results. Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration. Features examples throughout to illustrate applications in mathematical and statistical finance. Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book.
Data Science And Sdgs
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Author : Bikas Kumar Sinha
language : en
Publisher: Springer Nature
Release Date : 2021-08-13
Data Science And Sdgs written by Bikas Kumar Sinha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-13 with Business & Economics categories.
The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.
Modern Methodology And Applications In Spatial Temporal Modeling
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Author : Gareth William Peters
language : en
Publisher: Springer
Release Date : 2016-01-08
Modern Methodology And Applications In Spatial Temporal Modeling written by Gareth William Peters and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-08 with Mathematics categories.
This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter deals with non-parametric Bayesian inference via a recently developed framework known as kernel mean embedding which has had a significant influence in machine learning disciplines. The second chapter takes up non-parametric statistical methods for spatial field reconstruction and exceedance probability estimation based on Gaussian process-based models in the context of wireless sensor network data. The third chapter presents signal-processing methods applied to acoustic mood analysis based on music signal analysis. The fourth chapter covers models that are applicable to time series modeling in the domain of speech and language processing. This includes aspects of factor analysis, independent component analysis in an unsupervised learning setting. The chapter moves on to include more advanced topics on generalized latent variable topic models based on hierarchical Dirichlet processes which recently have been developed in non-parametric Bayesian literature. The final chapter discusses aspects of dependence modeling, primarily focusing on the role of extreme tail-dependence modeling, copulas, and their role in wireless communications system models.