Frontiers In Statistics

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Frontiers in Statistics

Jianqing Fan,Hira L Koul
Frontiers in Statistics Book PDF

Author : Jianqing Fan,Hira L Koul
Publisher : World Scientific
Page : 552 pages
File Size : 54,9 Mb
Release : 2006-07-17
Category : Computers
ISBN : 9781908979766

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Frontiers in Statistics by Jianqing Fan,Hira L Koul Pdf

During the last two decades, many areas of statistical inference have experienced phenomenal growth. This book presents a timely analysis and overview of some of these new developments and a contemporary outlook on the various frontiers of statistics. Eminent leaders in the field have contributed 16 review articles and 6 research articles covering areas including semi-parametric models, data analytical nonparametric methods, statistical learning, network tomography, longitudinal data analysis, financial econometrics, time series, bootstrap and other re-sampling methodologies, statistical computing, generalized nonlinear regression and mixed effects models, martingale transform tests for model diagnostics, robust multivariate analysis, single index models and wavelets. This volume is dedicated to Prof. Peter J Bickel in honor of his 65th birthday. The first article of this volume summarizes some of Prof. Bickel's distinguished contributions. Contents:Our Steps on the Bickel Way (K Doksum & Y Ritov)Semiparametric Models: A Review of Progress since BKRW (1993) (J A Wellner et al.)Efficient Estimator for Time Series (A Schick & W Wefelmeyer)On the Efficiency of Estimation for a Single-Index Model (Y Xia & H Tong)Estimating Function Based Cross-Validation (M J Van der Laan & D Rubin)Powerful Choices: Tuning Parameter Selection Based on Power (K Doksum & C Schafer)Nonparametric Assessment of Atypicality (P Hall & J W Kay)Selective Review on Wavelets in Statistics (Y Wang)Model Diagnostics via Martingale Transforms: A Brief Review (H L Koul)Boosting Algorithms: With an Application to Bootstrapping Multivariate Time Series (P Bühlmann & R W Lutz)Bootstrap Methods: A Review (S N Lahiri)An Expansion for a Discrete Non-Lattice Distribution (F Götze & W R van Zwet)An Overview on Nonparametric and Semiparametric Techniques for Longitudinal Data (J Fan & R Li)Regressing Longitudinal Response Trajectories on a Covariate (H-G Müller & F Yao)Statistical Physics and Statistical Computing: A Critical Link (J D Servidea & X-L Meng)Network Tomography: A Review and Recent Developments (E Lawrence et al.)Likelihood Inference for Diffusions: A Survey (Y Aït-Sahalia)Nonparametric Estimation of Production Efficiency (B U Park et al.)Convergence and Consistency of Newton's Algorithm for Estimating Mixing Distribution (J K Ghosh & S T Tokdar)Mixed Models: An Overview (J Jiang & Z Ge)Robust Location and Scatter Estimators in Multivariate Analysis (Y Zuo)Estimation of the Loss of an Estimate (W H Wong) Readership: Advanced graduate students and researchers in statistics. Keywords:Semiparametrics;Financial Econometrics;Longitudinal Data;Efficient Estimation;Single Index;Atypicality;Martingale Transforms;Boosting;Non-Lattice Distributions;Longitudinal Data;Network Tomography;Mixed ModelsKey Features:Gathers contributions from renowned researchers such as Kjell Doksum and Peter HallA must-have volume for researchers in statistics

Artificial Intelligence Frontiers in Statistics

David J. Hand
Artificial Intelligence Frontiers in Statistics Book PDF

Author : David J. Hand
Publisher : CRC Press
Page : 431 pages
File Size : 49,5 Mb
Release : 2020-11-26
Category : Business & Economics
ISBN : 9781000152913

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Artificial Intelligence Frontiers in Statistics by David J. Hand Pdf

This book presents a summary of recent work on the interface between artificial intelligence and statistics. It does this through a series of papers by different authors working in different areas of this interface. These papers are a selected and referenced subset of papers presented at the 3rd Interntional Workshop on Artificial Intelligence and Statistics, Florida, January 1991.

Frontiers in Data Science

Matthias Dehmer,Frank Emmert-Streib
Frontiers in Data Science Book PDF

Author : Matthias Dehmer,Frank Emmert-Streib
Publisher : CRC Press
Page : 395 pages
File Size : 53,7 Mb
Release : 2017-10-16
Category : Business & Economics
ISBN : 9781498799331

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Frontiers in Data Science by Matthias Dehmer,Frank Emmert-Streib Pdf

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.

Frontiers in Statistics

Jianqing Fan
Frontiers in Statistics Book PDF

Author : Jianqing Fan
Publisher : World Scientific
Page : 552 pages
File Size : 52,5 Mb
Release : 2006
Category : Mathematics
ISBN : 9781860946707

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Frontiers in Statistics by Jianqing Fan Pdf

During the last two decades, many areas of statistical inference have experienced phenomenal growth. This book presents a timely analysis and overview of some of these new developments and a contemporary outlook on the various frontiers of statistics.Eminent leaders in the field have contributed 16 review articles and 6 research articles covering areas including semi-parametric models, data analytical nonparametric methods, statistical learning, network tomography, longitudinal data analysis, financial econometrics, time series, bootstrap and other re-sampling methodologies, statistical computing, generalized nonlinear regression and mixed effects models, martingale transform tests for model diagnostics, robust multivariate analysis, single index models and wavelets.This volume is dedicated to Prof. Peter J Bickel in honor of his 65th birthday. The first article of this volume summarizes some of Prof. Bickel's distinguished contributions.

Frontiers in Statistical Quality Control 9

Hans-Joachim Lenz,Peter-Theodor Wilrich,Wolfgang Schmid
Frontiers in Statistical Quality Control 9 Book PDF

Author : Hans-Joachim Lenz,Peter-Theodor Wilrich,Wolfgang Schmid
Publisher : Springer Science & Business Media
Page : 367 pages
File Size : 51,9 Mb
Release : 2010-03-10
Category : Mathematics
ISBN : 9783790823806

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Frontiers in Statistical Quality Control 9 by Hans-Joachim Lenz,Peter-Theodor Wilrich,Wolfgang Schmid Pdf

The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "On-line Control" with subchapters 1.1 "Control Charts" and 1.2 "Surveillance Sampling and Sampling Plans" and Part 2:"Off-line Control".

Frontiers of Statistical Decision Making and Bayesian Analysis

Ming-Hui Chen,Peter Müller,Dongchu Sun,Keying Ye,Dipak K. Dey
Frontiers of Statistical Decision Making and Bayesian Analysis Book PDF

Author : Ming-Hui Chen,Peter Müller,Dongchu Sun,Keying Ye,Dipak K. Dey
Publisher : Springer Science & Business Media
Page : 631 pages
File Size : 53,6 Mb
Release : 2010-07-24
Category : Mathematics
ISBN : 9781441969446

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Frontiers of Statistical Decision Making and Bayesian Analysis by Ming-Hui Chen,Peter Müller,Dongchu Sun,Keying Ye,Dipak K. Dey Pdf

Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.

Frontiers in Massive Data Analysis

National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics,Committee on the Analysis of Massive Data
Frontiers in Massive Data Analysis Book PDF

Author : National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics,Committee on the Analysis of Massive Data
Publisher : National Academies Press
Page : 190 pages
File Size : 47,7 Mb
Release : 2013-09-03
Category : Mathematics
ISBN : 9780309287814

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Frontiers in Massive Data Analysis by National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics,Committee on the Analysis of Massive Data Pdf

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data.

Statistical Analysis of Next Generation Sequencing Data

Somnath Datta,Dan Nettleton
Statistical Analysis of Next Generation Sequencing Data Book PDF

Author : Somnath Datta,Dan Nettleton
Publisher : Springer
Page : 438 pages
File Size : 52,9 Mb
Release : 2014-07-03
Category : Medical
ISBN : 9783319072128

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Statistical Analysis of Next Generation Sequencing Data by Somnath Datta,Dan Nettleton Pdf

Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book contains 20 chapters written by prominent statisticians working with NGS data. The topics range from basic preprocessing and analysis with NGS data to more complex genomic applications such as copy number variation and isoform expression detection. Research statisticians who want to learn about this growing and exciting area will find this book useful. In addition, many chapters from this book could be included in graduate-level classes in statistical bioinformatics for training future biostatisticians who will be expected to deal with genomic data in basic biomedical research, genomic clinical trials and personalized medicine. About the editors: Somnath Datta is Professor and Vice Chair of Bioinformatics and Biostatistics at the University of Louisville. He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics and Elected Member of the International Statistical Institute. He has contributed to numerous research areas in Statistics, Biostatistics and Bioinformatics. Dan Nettleton is Professor and Laurence H. Baker Endowed Chair of Biological Statistics in the Department of Statistics at Iowa State University. He is Fellow of the American Statistical Association and has published research on a variety of topics in statistics, biology and bioinformatics.

Statistical Methods for Ranking Data

Mayer Alvo,Philip L.H. Yu
Statistical Methods for Ranking Data Book PDF

Author : Mayer Alvo,Philip L.H. Yu
Publisher : Springer
Page : 273 pages
File Size : 46,8 Mb
Release : 2014-09-02
Category : Mathematics
ISBN : 9781493914715

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Statistical Methods for Ranking Data by Mayer Alvo,Philip L.H. Yu Pdf

This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website.

Statistical Techniques for Neuroscientists

Young K. Truong,Mechelle M. Lewis
Statistical Techniques for Neuroscientists Book PDF

Author : Young K. Truong,Mechelle M. Lewis
Publisher : CRC Press
Page : 349 pages
File Size : 47,7 Mb
Release : 2016-10-04
Category : Mathematics
ISBN : 9781315356754

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Statistical Techniques for Neuroscientists by Young K. Truong,Mechelle M. Lewis Pdf

Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein. The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods. The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.

Frontiers in Statistical Quality Control 13

Sven Knoth,Wolfgang Schmid
Frontiers in Statistical Quality Control 13 Book PDF

Author : Sven Knoth,Wolfgang Schmid
Publisher : Springer Nature
Page : 410 pages
File Size : 41,7 Mb
Release : 2021-05-15
Category : Mathematics
ISBN : 9783030678562

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Frontiers in Statistical Quality Control 13 by Sven Knoth,Wolfgang Schmid Pdf

This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.

Exploring Research Frontiers in Contemporary Statistics and Econometrics

Ingrid Van Keilegom,Paul W. Wilson
Exploring Research Frontiers in Contemporary Statistics and Econometrics Book PDF

Author : Ingrid Van Keilegom,Paul W. Wilson
Publisher : Springer Science & Business Media
Page : 276 pages
File Size : 50,6 Mb
Release : 2011-09-15
Category : Mathematics
ISBN : 9783790823493

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Exploring Research Frontiers in Contemporary Statistics and Econometrics by Ingrid Van Keilegom,Paul W. Wilson Pdf

This book collects contributions written by well-known statisticians and econometricians to acknowledge Léopold Simar’s far-reaching scientific impact on Statistics and Econometrics throughout his career. The papers contained herein were presented at a conference in Louvain-la-Neuve in May 2009 in honor of his retirement. The contributions cover a broad variety of issues surrounding frontier estimation, which Léopold Simar has contributed much to over the past two decades, as well as related issues such as semiparametric regression and models for censored data. This book collects contributions written by well-known statisticians and econometricians to acknowledge Léopold Simar’s far-reaching scientific impact on Statistics and Econometrics throughout his career. The papers contained herein were presented at a conference in Louvain-la-Neuve in May 2009 in honor of his retirement. The contributions cover a broad variety of issues surrounding frontier estimation, which Léopold Simar has contributed much to over the past two decades, as well as related issues such as semiparametric regression and models for censored data.

Frontiers in Statistical Quality Control 11

Sven Knoth,Wolfgang Schmid
Frontiers in Statistical Quality Control 11 Book PDF

Author : Sven Knoth,Wolfgang Schmid
Publisher : Springer
Page : 393 pages
File Size : 41,7 Mb
Release : 2015-04-24
Category : Computers
ISBN : 9783319123554

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Frontiers in Statistical Quality Control 11 by Sven Knoth,Wolfgang Schmid Pdf

The main focus of this edited volume is on three major areas of statistical quality control: statistical process control (SPC), acceptance sampling and design of experiments. The majority of the papers deal with statistical process control, while acceptance sampling and design of experiments are also treated to a lesser extent. The book is organized into four thematic parts, with Part I addressing statistical process control. Part II is devoted to acceptance sampling. Part III covers the design of experiments, while Part IV discusses related fields. The twenty-three papers in this volume stem from The 11th International Workshop on Intelligent Statistical Quality Control, which was held in Sydney, Australia from August 20 to August 23, 2013. The event was hosted by Professor Ross Sparks, CSIRO Mathematics, Informatics and Statistics, North Ryde, Australia and was jointly organized by Professors S. Knoth, W. Schmid and Ross Sparks. The papers presented here were carefully selected and reviewed by the scientific program committee, before being revised and adapted for this volume.

Multivariate Statistical Methods

György Terdik
Multivariate Statistical Methods Book PDF

Author : György Terdik
Publisher : Springer Nature
Page : 424 pages
File Size : 42,9 Mb
Release : 2021-10-26
Category : Mathematics
ISBN : 9783030813925

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Multivariate Statistical Methods by György Terdik Pdf

This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual calculations. Multivariate nonlinear statistical models require the study of higher-order moments and cumulants. The main tool used for the definitions is the tensor derivative, leading to several useful expressions concerning Hermite polynomials, moments, cumulants, skewness, and kurtosis. A general test of multivariate skewness and kurtosis is obtained from this treatment. Exercises are provided for each chapter to help the readers understand the methods. Lastly, the book includes a comprehensive list of references, equipping readers to explore further on their own.

Data Assimilation and Control: Theory and Applications in Life Sciences

Axel Hutt,Wilhelm Stannat,Roland Potthast
Data Assimilation and Control Theory and Applications in Life Sciences Book PDF

Author : Axel Hutt,Wilhelm Stannat,Roland Potthast
Publisher : Frontiers Media SA
Page : 116 pages
File Size : 44,5 Mb
Release : 2019-08-16
Category : Electronic
ISBN : 9782889459858

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Data Assimilation and Control: Theory and Applications in Life Sciences by Axel Hutt,Wilhelm Stannat,Roland Potthast Pdf

The understanding of complex systems is a key element to predict and control the system’s dynamics. To gain deeper insights into the underlying actions of complex systems today, more and more data of diverse types are analyzed that mirror the systems dynamics, whereas system models are still hard to derive. Data assimilation merges both data and model to an optimal description of complex systems’ dynamics. The present eBook brings together both recent theoretical work in data assimilation and control and demonstrates applications in diverse research fields.