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Identifiability and Regression Analysis of Biological Systems Models: Statistical and Mathematical Foundations and R Scripts, Lecca Paola


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Автор: Lecca Paola
Название:  Identifiability and Regression Analysis of Biological Systems Models: Statistical and Mathematical Foundations and R Scripts
ISBN: 9783030412548
Издательство: Springer
Классификация:



ISBN-10: 3030412547
Обложка/Формат: Paperback
Страницы: 82
Вес: 0.15 кг.
Дата издания: 06.03.2020
Серия: Springerbriefs in statistics
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 8 illustrations, color; 5 illustrations, black and white; x, 82 p. 13 illus., 8 illus. in color.; 8 illustrations, color; 5 illustrations, black and w
Размер: 23.39 x 15.60 x 0.48 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Statistical and mathematical foundations and r scripts
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression analysis of complex dynamical models.


Mathematical foundations of infinite-dimensional statistical models

Автор: Gine, Evarist Nickl, Richard (university Of Cambridge)
Название: Mathematical foundations of infinite-dimensional statistical models
ISBN: 110899413X ISBN-13(EAN): 9781108994132
Издательство: Cambridge Academ
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Цена: 7286.00 р.
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Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples or from Gaussian regression/signal in white noise problems.

Spectral Analysis for Univariate Time Series

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 14573.00 р.
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Introduction to Malliavin Calculus

Автор: David Nualart, Eulalia Nualart
Название: Introduction to Malliavin Calculus
ISBN: 1107039126 ISBN-13(EAN): 9781107039124
Издательство: Cambridge Academ
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Цена: 17424.00 р.
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Описание: This textbook offers a compact introduction to Malliavin calculus. It covers recent applications, and includes a self-contained presentation of preliminary material on Brownian motion and stochastic calculus. Accessible to non-experts, graduate students and researchers can use this book to master the core techniques necessary for further study.

Institute of mathematical statistics textbooks

Автор: Nualart, David (university Of Kansas) Nualart, Eul...lia (universitat Pompeu Fabra, Barcelona)
Название: Institute of mathematical statistics textbooks
ISBN: 1107611989 ISBN-13(EAN): 9781107611986
Издательство: Cambridge Academ
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Цена: 6019.00 р.
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Описание: This textbook offers a compact introduction to Malliavin calculus. It covers recent applications, and includes a self-contained presentation of preliminary material on Brownian motion and stochastic calculus. Accessible to non-experts, graduate students and researchers can use this book to master the core techniques necessary for further study.

Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications

Автор: Luis L. Bonilla; Efthimios Kaxiras; Roderick Melni
Название: Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications
ISBN: 3030095304 ISBN-13(EAN): 9783030095307
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume gathers selected contributions from the participants of the Banff International Research Station (BIRS) workshop Coupled Mathematical Models for Physical and Biological Nanoscale Systems and their Applications, who explore various aspects of the analysis, modeling and applications of nanoscale systems, with a particular focus on low dimensional nanostructures and coupled mathematical models for their description.Due to the vastness, novelty and complexity of the interfaces between mathematical modeling and nanoscience and nanotechnology, many important areas in these disciplines remain largely unexplored. In their efforts to move forward, multidisciplinary research communities have come to a clear understanding that, along with experimental techniques, mathematical modeling and analysis have become crucial to the study, development and application of systems at the nanoscale.The conference, held at BIRS in autumn 2016, brought together experts from three different communities working in fields where coupled mathematical models for nanoscale and biosystems are especially relevant: mathematicians, physicists (both theorists and experimentalists), and computational scientists, including those dealing with biological nanostructures. Its objectives: summarize the state-of-the-art; identify and prioritize critical problems of major importance that require solutions; analyze existing methodologies; and explore promising approaches to addressing the challenges identified.The contributions offer up-to-date introductions to a range of topics in nano and biosystems, identify important challenges, assess current methodologies and explore promising approaches. As such, this book will benefit researchers in applied mathematics, as well as physicists and biologists interested in coupled mathematical models and their analysis for physical and biological nanoscale systems that concern applications in biotechnology and medicine, quantum information processing and optoelectronics.

Mathematical Foundations of Infinite-Dimensional Statistical Models

Автор: Gin?
Название: Mathematical Foundations of Infinite-Dimensional Statistical Models
ISBN: 1107043166 ISBN-13(EAN): 9781107043169
Издательство: Cambridge Academ
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Цена: 14890.00 р.
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Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.

Mathematical Modeling of Biological Systems, Volume I Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis

Автор: Deutsch, A.; Brusch, L.; Byrne, H.; de Vries, G.; Herzel, H. (Eds.)
Название: Mathematical Modeling of Biological Systems, Volume I Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis
ISBN: 0817645578 ISBN-13(EAN): 9780817645571
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This edited volume contains a selection of chapters that are an outgrowth of the - ropean Conference on Mathematical and Theoretical Biology (ECMTB05, Dresden, Germany, July 2005). The peer-reviewed contributions show that mathematical and computational approaches are absolutely essential for solving central problems in the life sciences, ranging from the organizational level of individual cells to the dynamics of whole populations. The contributions indicate that theoretical and mathematical biology is a diverse and interdisciplinary ?eld, ranging from experimental research linked to mathema- cal modeling to the development of more abstract mathematical frameworks in which observations about the real world can be interpreted, and with which new hypotheses for testing can be generated. Today, much attention is also paid to the development of ef?cient algorithms for complex computation and visualisation, notably in molecular biology and genetics. The ?eld of theoretical and mathematical biology and medicine has profound connections to many current problems of great relevance to society. The medical, industrial, and social interests in its development are in fact indisputable.

Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications

Автор: Bonilla
Название: Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications
ISBN: 3319765981 ISBN-13(EAN): 9783319765983
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

Preface.- Part A. Charge and Spin Transport in Low-Dimensional Structures: Nonlinear Quantum Mechanics: Bjцrn Birnir.- Chaotic Current Self-Oscillations in Doped, Weakly Coupled Semiconductor Superlattices for True Random Number Generation: Yaohui Zhang et al.- Transport out of Locally Broken Detailed Balance: Rafael Sбnchez.- Non-Perturbative Approaches in Nanoscience and Corrections to Finite-Size Scaling: J. Kaupuzs et a.- Continuum Model for Coupled Acousto-Optical Phonons in Piezoelectric Materials: Morten Willatzen et al.- Part B. Modeling Biological Phenomena from Nano to Macro Scales: Stochastic Models of Tumor Induced Angiogenesis: L.L. Bonilla et al.- Biofilm Mechanics and Patterns: A. Carpio et al.- Modelling the Unfolding Pathway of Biomolecules: Theoretical Approach and Experimental Prospect: Carlos A. Plata et al.- The Geometry of Most Probable Trajectories in Noise-Driven Dynamical Systems: John C. Neu et al.- Part C. Mathematics for 2D Materials and Properties of Confined Nanostructures: Classical Density-Functional Theory Studies of Fluid Adsorption on Nanopatterned Planar Surfaces: Peter Yatsyshin et al.- Modeling Metastability in CdTe Solar Cells Due to Cu Migration: Da Guo et al.- A Multiscale Molecular Dynamics and Coupling with Nonlinear Finite Element Method: S. Urata et al.- Modeling Electronic Properties of Twisted 2D Atomic Heterostructures: Stephen Carr et al.- Molecular Dynamics and Related Computational Methods with Applications to Drug Discovery: Jordane Preto et al.- Macroscopic Models for the Bioelectronic Interface of Engineered Artificial Membranes: William Hoiles et al.

Mathematical Foundations of Quantum Statistical Mechanics

Автор: D.Y. Petrina
Название: Mathematical Foundations of Quantum Statistical Mechanics
ISBN: 079233258X ISBN-13(EAN): 9780792332589
Издательство: Springer
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Цена: 16979.00 р.
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Описание: For infinite systems, the solutions of the equations of state are constructed by using the thermodynamic limit procedure, accord- ing to which we first find a solution for a system of finitely many particles and then let the number of particles and the volume of a region tend to infinity keeping the density of particles constant.


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