الصفحة 5
الصفحة 5
Probability, Statistics and Modelling in Public Health
This book includes models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.
Probability and Risk Analysis : An Introduction for Engineers
This book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently used in that area, hence a reasonable proportion of the presentation is devoted to such approaches. Modern statistical tools, namely Poisson regression, analysis of deviance, extreme-value theory and threshold methods are also used to identify and solve practical problems. The knowledge of such tools facilitates the understanding of the role of probability in risk analysis and proper use of outputs given by software packages.
Privacy-Preserving Data Mining : Models and Algorithms
Privacy Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited volume also contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy.
Principal Manifolds for Data Visualization and Dimension Reduction
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimensional Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps (SOM), etc. The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering algorithms, principal manifolds and SOM. New approaches to NLPCA, principal manifolds, branching principal components and topology preserving mappings are described as well. Presentation of algorithms is supplemented by case studies, from engineering to astronomy, but mostly of biological data: analysis of microarray and metabolite data.
Practical Fruits of Econophysics ; Proceedings of The 3rd Nikkei Econophysics Symposium
Some economic phenomena are predictable and controllable, and some are impos sible to foresee. Existing economic theories do not provide satisfactory answers as to what degree economic phenomena can be predicted and controlled, and in what situations. Against this background, people working on the financial front lines in real life have to rely on empirical rules based on experiments that often lack a solid foundation. "Econophysics" is a new science that analyzes economic phenomena empirically from a physical point of view, and it is being studied mainly to offer scientific, objective and significant answers to such problems. This book is the proceedings of the third Nikkei symposium on ''Practical Fruits of Econophysics
Practical Bioinformatics
The book is unique in that it bridges the gap between bioinformaticists and molecular biologists, i.e. the developers and the users of computational methods for biological data analysis and in that it presents examples of practical applications of the bioinformatics tools in the "daily practice" of an experimental research scientist.The book starts with reviews on computational methods for protein sequence-structure-function analysis (sequence studies, structure prediction), followed by methods that explicitly utilize experimental data routinely obtained in the laboratory to improve the functional predictions. The second part comprises a series of examples on how particular applications of different types of bioinformatics methods in combination with experimental studies to validate the hypotheses have led to important scientific discoveries.Therefore, the book is a guide to application of bioinformatics methods in molecular biology, addressed mainly to research scientists, postdocs, and advanced graduate students.
Polycomb group proteins : Methods and protocols
Explores the latest technologies used in the Polycomb Group of proteins field and helps scientists--working on PcG proteins--investigate all functions of PcG proteins in diverse cellular contexts. The chapters in this book cover topics such the distribution of histone marks by CUT&Tag in Drosophila embryos; Co-IP in mammalian cells; replication timing of gene loci in different cell cycle phases; STORM and electronmicroscopy and relative data analysis; and polycomb mediated epigenetic modification in spheroids.
Plant Systems Biology
This volume aims to provide a timely view of the "state of the art" in systems biology. The editors take the opportunity to define systems biology as they and the contributing authors see it, and this will lay the groundwork for future studies. The volume is well-suited to both students and researchers interested in the methods of systems biology. Although the focus is on plant systems biology, the proposed material could be suitably applied to any organism.
Phase Resetting in Medicine and Biology : Stochastic Modelling and Data Analysis
Presents a new theoretical approach to phase resetting and stimulation-induced synchronization and desynchronization in a population of oscillators. The author uses stochastic methods from statistical mechanics and applies his theory to models of practical importance in physiology and neuroscience. He makes the book accessible to readers not familiar with the mathematical formalism. The results are presented and additionally explained without formulae, particularly with a view to the interests of neuroscientists. The author also proposes improvements to stimulation techniques as used by neurologists and neurosurgeons in the context of Parkinson's disease and MEG/EEG data analysis. The book is written for researchers and graduate students but it can also benefit medical practitioners.
Pharmaceutical Quality by Design : A Practical Approach
Outlines a new and proven approach to pharmaceutical product development which is now being rolled out across the pharmaceutical industry internationally. Written by experts in the field, the text explores the QbD approach to product development. This innovative approach is based on the application of product and process understanding underpinned by a systematic methodology which can enable pharmaceutical companies to ensure that quality is built into the product.
Peptidomics : Methods and strategies
Explores essential techniques and newly emerged applications used in the expanding field of peptidomics. The opening chapters describe sample preparation and basic techniques. Subsequent chapters delve into quantitative peptidomics, bioinformatics, deep learning approaches, non-human model organisms, and peptide toxins. The last section includes multiple chapters on applications of peptidomics for human clinical specimens. Written for the highly successful Methods in Molecular Biology series, chapters include overviews and introductions to their respective topics, lists of the necessary materials, reagents, and instrumentation, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors
A comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR.
Pattern Recognition in Bioinformatics ; International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings
Presents the proceedings of Workshop PRIB 2006 held in Hong Kong, China, on August 20, 2006. It includes 19 technical contributions that were selected by the Program Committee from 43 submissions. We give a brief introduction to pattern recognition in bioinformatics in the first paper. The rest of the volume consists of three parts. Part 1: signal and motif detection, and gene selection. Part 2: models of DNA, RNA, and protein structures. Part 3: biological databases and imaging.
Pattern Recognition ; Vol. 4174 ; 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings
Constitutes the refereed proceedings of the 28th Symposium of the German Association for Pattern Recognition, DAGM 2006, held in Berlin, Germany in September 2006. The 32 revised full papers and 44 revised poster papers presented together with 5 invited papers were carefully reviewed and selected from 171 submissions. The papers are organized in topical sections on image filtering, restoration and segmentation, shape analysis and representation, recognition, categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, motion analysis and tracking, pose recognition, stereo and structure from motion, multi-view image and geometric processing, as well as 3D view registration and surface modelling.
Pattern Recognition ; 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings
Contains sections on image filtering, restoration and segmentation, shape analysis and representation, and recognition. This book also covers categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, motion analysis and tracking, and pose recognition.
Pandemics : Insurance and Social Protection
Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing in the presence of low probability events, group testing, compositional data analysis for detecting data inconsistencies, behaviouristic aspects in fighting a pandemic, and insurers’ legal problems, amongst others.
On the move to meaningful internet systems 2005 : OTM 2005 Workshops ; OTM Confederated International Workshops and Posters, AWeSOMe, CAMS, GADA. MIOS+INTEROP, ORM, PhDS, SeBGIS. SWWS. and WOSE 2005, Agia Napa, Cyprus, October 31 - November 4, 2005, Proceedings
This book constitutes the joint refereed proceedings of nine international workshops held as part of OTM 2005 in Agia Napa, Cyprus in October/November 2005.The 145 revised full papers presented were carefully reviewed and selected from a total of 268 submissions. Topics addressed are agents, Web services and ontologies merging (AWeSOMe 2005), context-aware mobile systems (CAMS 2005), grid computing and its application to data analysis (GADA 2005), inter-organizational systems and interoperability of enterprise software and applications (MIOS+INTEROP 2005), object-role modeling (ORM 2005), a PHD symposium (PhDS 2005), semantic-based geographical information systems (SeBGIS 2005), Web semantics (SWWS 2005), and ontologies, semantics and e-learning (WOSE 2005)
Numerical Methods Using Java : For Data Science, Analysis, and Engineering
Covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started. You will: Program in Java using a high-performance numerical library / Learn the mathematics for a wide range of numerical computing algorithms / Convert ideas and equations into code / Put together algorithms/ and classes to build your own engineering solution / Build solvers for industrial optimization problems / Do data analysis using basic and advanced statistics
Numerical computation, data analysis and software in mathematics and engineering
Include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed.
Nonparametric Functional Data Analysis : Theory and Practice
Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. This book starts from theoretical foundations including functional nonparametric modeling, description of the mathematical framework, construction of the statistical methods, and statements of their asymptotic behaviors. It proceeds to computational issues including R and S-PLUS routines. Several functional datasets in chemometrics, econometrics, and pattern recognition are used to emphasize the wide scope of nonparametric functional data analysis in applied sciences. The companion Web site includes R and S-PLUS routines, command lines for reproducing examples presented in the book, and the functional datasets. Rather than set application against theory, this book is really an interface of these two features of statistics. A special effort has been made in writing this book to accommodate several levels of reading.
