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Author: Kaitai Fang
Publisher: World Scientific
ISBN: 9812567763
Category : Mathematics
Languages : en
Pages : 470
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Book Description
Index. Subject index -- Author index
Author: Kaitai Fang
Publisher: World Scientific
ISBN: 9812567763
Category : Mathematics
Languages : en
Pages : 470
Get Book
Book Description
Index. Subject index -- Author index
Author: Jianqing Fan
Publisher: World Scientific
ISBN: 9814481203
Category : Mathematics
Languages : en
Pages : 469
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Book Description
This book furthers new and exciting developments in experimental designs, multivariate analysis, biostatistics, model selection and related subjects. It features articles contributed by many prominent and active figures in their fields. These articles cover a wide array of important issues in modern statistical theory, methods and their applications. Distinctive features of the collections of articles are their coherence and advance in knowledge discoveries.
Author: Wenqing He
Publisher: Springer Nature
ISBN: 3031083296
Category : Science
Languages : en
Pages : 339
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Book Description
This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.
Author: Manish Bhattacharjee
Publisher: World Scientific
ISBN: 981446242X
Category : Medical
Languages : en
Pages : 312
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Book Description
This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications. It includes state-of-the-art reviews and original contributions. The articles included in this volume are based on a careful selection of peer-reviewed papers, authored by eminent experts in the field, representing a well balanced mix of researchers from the academia, R&D sectors of government and the pharmaceutical industry. The book is also intended to give advanced graduate students and new researchers a scholarly overview of several research frontiers in biostatistics, which they can use to further advance the field through development of new techniques and results. Contents:False Discovery Rates:A New Adaptive Method to Control the False Discovery Rate (F Liu & S K Sarkar)Adaptive Multiple Testing Procedures Under Positive Dependence (W-G Guo et al.)A False Discovery Rate Procedure for Categorical Data (J F Heyse)Survival Analysis:Conditional Nelson-Aalen and Kaplan-Meier Estimators with the Müller–Wang Boundary Kernel (X-D Luo & W-Y Tsai)Regression Analysis in Failure Time Mixture Models with Change Points According to Thresholds of a Covariate (J-M Lee et al.)Modeling Survival Data Using the Piecewise Exponential Model with Random Time Grid (F N Demarqui et al.)Proportional Rate Models for Recurrent Time Event Data Under Dependent Censoring: A Comparative Study (L D A F Amorim et al.)Efficient Algorithms for Bayesian Binary Regression Model with Skew-Probit Link (R B A Farias & M D Branco)M-Estimation Methods in Heteroscedastic Nonlinear Regression Models (C Lim et al.)The Inverse Censoring Weighted Approach for Estimation of Survival Functions from Left and Right Censored Data (S Subramanian & P-X Zhang)Analysis and Design of Competing Risks Data in Clinical Research (H T Kimn)Related Topics: Genomics/Bioinformatics, Medical Imaging and Diagnosis, Clinical Trials:Comparative Genomic Analysis Using Information Theory (S N Fatakia et al.)Statistical Modeling for Data of Positron Emission Tomography in Depression (C Chang & R T Ogden)The Use of Latent Class Analysis in Medical Diagnosis (D Rindskopf)Subset Selection in Comparative Selection Trials (C-S Leu et al.) Readership: Advanced Graduate students; active researchers in universities, research labs in government and industry engaged in and concerned with modeling and data analysis in biostatistics; R&D managers and directors of biostatistics / public health research in government and industry. Keywords:False Discovery Rate;Adaptive Multiple Testing;Survival Analysis;Censoring;NelsonâAalen Estimator;KaplanâMeier Estimator;Recurrent Time-to-Event Data Under Dependent Censoring;Bayesian Binary Regression;M-Estimation;Heteroscedastic Nonlinear Regression;Failure Time Mixture Models with Change Points;Genomic Analysis Using Information Theory;Modeling Positron Emission Tomography;Competing Risks;Latent Class Analysis;Comparative Selection TrialsKey Features:Includes a treatment of current research on “False Discovery Methods”, a topic of high relevance and interest in gene-expression/microarray studiesIncludes new methods for regression analysis of recurrent and censored time-to-event data with dependent censoring, innovative estimation methods for unconditional and conditional survival distributions from censored data including double censoring, novel applications in medical imaging and diagnosis, information theory and comparative genomicsContributors are prominent experts in their fields
Author:
Publisher:
ISBN: 9814476617
Category :
Languages : en
Pages :
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Author: Christos P. Kitsos
Publisher: Springer Nature
ISBN: 3031398645
Category : Mathematics
Languages : en
Pages : 230
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Book Description
This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, Italy, May 2022, detail a wide variety of daily risks, building on ideas presented at previous ICRA conferences. Working within a strong theoretical framework, supporting applications, the material describes a modern extension of the traditional research of the 1980s. This book is intended for graduate students in Mathematics, Statistics, Biology, Toxicology, Medicine, Management, and Economics, as well as quantitative researchers in Risk Analysis.
Author: Vijay Nair
Publisher:
ISBN: 9789812561206
Category : Inference
Languages : en
Pages : 673
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Author: Riccardo Zoppoli
Publisher: Springer Nature
ISBN: 3030296938
Category : Technology & Engineering
Languages : en
Pages : 532
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Book Description
Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc. Features of the text include: • a general functional optimization framework; • thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization problems; • comparison of classical and neural-network based methods of approximate solution; • bounds to the errors of approximate solutions; • solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect or imperfect state measurements over a finite or infinite time horizon and with one decision maker or several; • applications of current interest: routing in communications networks, traffic control, water resource management, etc.; and • numerous, numerically detailed examples. The authors’ diverse backgrounds in systems and control theory, approximation theory, machine learning, and operations research lend the book a range of expertise and subject matter appealing to academics and graduate students in any of those disciplines together with computer science and other areas of engineering.
Author: Jianqing Fan
Publisher: Springer Nature
ISBN: 3030461610
Category : Mathematics
Languages : en
Pages : 384
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Book Description
The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easily collect data characterised by massive dimensions and complexity. In celebration of Professor Kai-Tai Fang’s 80th birthday, we present this book, which furthers new and exciting developments in modern statistical theories, methods and applications. The book features four review papers on Professor Fang’s numerous contributions to the fields of experimental design, multivariate analysis, data mining and education. It also contains twenty research articles contributed by prominent and active figures in their fields. The articles cover a wide range of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models.
Author: Theodore Wilbur Anderson
Publisher: IMS
ISBN: 9780940600355
Category : Multivariate analysis
Languages : en
Pages : 502
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Book Description
