Statistical Methods For Imbalanced Data In Ecological And Biological Studies
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Statistical Methods For Imbalanced Data In Ecological And Biological Studies
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Author : Osamu Komori
language : en
Publisher: Springer
Release Date : 2019-07-02
Statistical Methods For Imbalanced Data In Ecological And Biological Studies written by Osamu Komori and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-02 with Medical categories.
This book presents a fresh, new approach in that it provides a comprehensive recent review of challenging problems caused by imbalanced data in prediction and classification, and also in that it introduces several of the latest statistical methods of dealing with these problems. The book discusses the property of the imbalance of data from two points of view. The first is quantitative imbalance, meaning that the sample size in one population highly outnumbers that in another population. It includes presence-only data as an extreme case, where the presence of a species is confirmed, whereas the information on its absence is uncertain, which is especially common in ecology in predicting habitat distribution. The second is qualitative imbalance, meaning that the data distribution of one population can be well specified whereas that of the other one shows a highly heterogeneous property. A typical case is the existence of outliers commonly observed in gene expression data, and another is heterogeneous characteristics often observed in a case group in case-control studies. The extension of the logistic regression model, maxent, and AdaBoost for imbalanced data is discussed, providing a new framework for improvement of prediction, classification, and performance of variable selection. Weights functions introduced in the methods play an important role in alleviating the imbalance of data. This book also furnishes a new perspective on these problem and shows some applications of the recently developed statistical methods to real data sets.
Uniset 2021
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Author : Anna Fitri Hindriana
language : en
Publisher: European Alliance for Innovation
Release Date : 2022-08-18
Uniset 2021 written by Anna Fitri Hindriana and has been published by European Alliance for Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-18 with Science categories.
The 2nd Universitas Kuningan International Conference on System, Engineering, and Technology (UNISET) will be an annual event hosted by Universitas Kuningan. This year (2021), will be the second UNISET will be held on 2 December 2021 at Universitas Kuningan, Kuningan, West Java, Indonesia. “Opportunity and challenge in environmental, social science and humanity research during the pandemic Covid-19 era and afterward” has been chosen at the main theme for the conference, with a focus on the latest research and trends, as well as future outlook of the field of Call for paper fields to be included in UNISET 2021 are: natural science, education, social science and humanity, environmental science, and technology. The conference invites delegates from across Indonesian and South East Asian region and beyond, and is usually attended by more than 100 participants from university academics, researchers, practitioners, and professionals across a wide range of industries.
Information Geometry
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Author :
language : en
Publisher: Elsevier
Release Date : 2021-09-26
Information Geometry written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-26 with Mathematics categories.
The subject of information geometry blends several areas of statistics, computer science, physics, and mathematics. The subject evolved from the groundbreaking article published by legendary statistician C.R. Rao in 1945. His works led to the creation of Cramer-Rao bounds, Rao distance, and Rao-Blackawellization. Fisher-Rao metrics and Rao distances play a very important role in geodesics, econometric analysis to modern-day business analytics. The chapters of the book are written by experts in the field who have been promoting the field of information geometry and its applications. - Written by experts for users of information geometry - Basics to advanced readers are equally taken care - Origins and Clarity on Foundations
Minimum Gamma Divergence For Regression And Classification Problems
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Author : Shinto Eguchi
language : en
Publisher: Springer Nature
Release Date : 2025-03-11
Minimum Gamma Divergence For Regression And Classification Problems written by Shinto Eguchi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Mathematics categories.
This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008. The gamma-divergence has been extensively explored to provide robust estimation when the power index γ is positive. The gamma-divergence can be defined even when the power index γ is negative, as long as the condition of integrability is satisfied. Thus, the authors consider the gamma-divergence defined on a set of discrete distributions. The arithmetic, geometric, and harmonic means for the distribution ratios are closely connected with the gamma-divergence with a negative γ. In particular, the authors call the geometric-mean (GM) divergence the gamma-divergence when γ is equal to -1. The book begins by providing an overview of the gamma-divergence and its properties. It then goes on to discuss the applications of the gamma-divergence in various areas, including machine learning, statistics, and ecology. Bernoulli, categorical, Poisson, negative binomial, and Boltzmann distributions are discussed as typical examples. Furthermore, regression analysis models that explicitly or implicitly assume these distributions as the dependent variable in generalized linear models are discussed to apply the minimum gamma-divergence method. In ensemble learning, AdaBoost is derived by the exponential loss function in the weighted majority vote manner. It is pointed out that the exponential loss function is deeply connected to the GM divergence. In the Boltzmann machine, the maximum likelihood has to use approximation methods such as mean field approximation because of the intractable computation of the partition function. However, by considering the GM divergence and the exponential loss, it is shown that the calculation of the partition function is not necessary, and it can be executed without variational inference.
Design And Analysis Of Long Term Ecological Monitoring Studies
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Author : Robert A. Gitzen
language : en
Publisher: Cambridge University Press
Release Date : 2012-06-07
Design And Analysis Of Long Term Ecological Monitoring Studies written by Robert A. Gitzen and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-07 with Nature categories.
To provide useful and meaningful information, long-term ecological programs need to implement solid and efficient statistical approaches for collecting and analyzing data. This volume provides rigorous guidance on quantitative issues in monitoring, with contributions from world experts in the field. These experts have extensive experience in teaching fundamental and advanced ideas and methods to natural resource managers, scientists and students. The chapters present a range of tools and approaches, including detailed coverage of variance component estimation and quantitative selection among alternative designs; spatially balanced sampling; sampling strategies integrating design- and model-based approaches; and advanced analytical approaches such as hierarchical and structural equation modelling. Making these tools more accessible to ecologists and other monitoring practitioners across numerous disciplines, this is a valuable resource for any professional whose work deals with ecological monitoring. Supplementary example software code is available online at www.cambridge.org/9780521191548.
Detection Methods In Precision Medicine
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Author : Mengsu (Michael) Yang
language : en
Publisher: Royal Society of Chemistry
Release Date : 2020-12-10
Detection Methods In Precision Medicine written by Mengsu (Michael) Yang and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-10 with Science categories.
Precision medicine is a topical subject that attracts tremendous attention from scientific and medical communities, being set to transform health care in the future. This book will be among the first to cover the detection methods for precision medicine. The first section provides an overview of the biomarkers used for precision medicine, such as proteins, nucleic acids, and metabolites. The coverage then turns to sequencing techniques and their applications, and other bioanalytical techniques, including mass spectrometry for proteome and phosphoproteome analysis, immunological methods and droplet technologies. The final sections include biosensors applied to precision medicine and clinical applications. This book provides a reference for researchers and students interested and working in the development of bioanalytical techniques for clinical applications. It provides a useful introduction for physicians and medical laboratory technologists to the recent advances in detection methods for precision medicine.
Research Paper Rmrs
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Author :
language : en
Publisher:
Release Date : 1998
Research Paper Rmrs written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Forests and forestry categories.
Toward Gleasonian Landscape Ecology
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Author :
language : en
Publisher:
Release Date : 2010
Toward Gleasonian Landscape Ecology written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Forests and forestry categories.
The fusion of individualistic community ecology with the Hutchinsonian niche concept enabled a broad integration of ecological theory, spanning all the way from the niche characteristics of individual species, to the composition, structure, and dynamics of ecological communities. Landscape ecology has been variously described as the study of the structure, function, and management of large heterogeneous land areas. Any reading of the published landscape ecology literature shows near uniformity in the adoption of a categorical patch-mosaic paradigm. However, if biological communities are multivariate gradients of species composition, with each species responding individualistically to particular combinations of limiting factors, is a categorical patch-based representation appropriate? We evaluate the sufficiency of several patch-based representations of vegetation at the landscape level to explain the composition of the plant community. Classified vegetation maps all performed poorly in explaining the composition and structure of forest trees among plots. Different categorical vegetation maps provided largely independent explanations of species variability. Individual species models based on spectral, topographic, and climatic variables vastly out-performed those produced using the classified maps. By moving from a landscape ecological paradigm based on categorical patches to one based on quantitative species and environmental responses across continuous space, it will be possible to both produce much more effective predictions of species distributions and ecological processes and remove much of the disjunction between landscape ecology and mainstream community ecology theory.
Industrial Data Analytics For Diagnosis And Prognosis
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Author : Shiyu Zhou
language : en
Publisher: John Wiley & Sons
Release Date : 2021-07-21
Industrial Data Analytics For Diagnosis And Prognosis written by Shiyu Zhou 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 2021-07-21 with Mathematics categories.
Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book’s two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems. In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers: A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.
Applied Artificial Intelligence 4 Medicine Biology Chemistry Financial Games Engineering
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Author : Nenad Filipović
language : en
Publisher: Springer Nature
Release Date : 2025-07-17
Applied Artificial Intelligence 4 Medicine Biology Chemistry Financial Games Engineering written by Nenad Filipović and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-17 with Computers categories.
The book covers the state-of-the-art research knowledge and results on the innovative theories, methodology and applications of artificial intelligence and its sub-domain like deep learning in different areas such as medicine, economy, education, law, smart city, government, industry etc. Moreover, the book aims to provide a platform for researchers and practitioners for both academia and industry to share the information about cutting-edge developments in the field of artificial intelligence. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law and engineering. Real examples from academia and industry give beyond state of the art for application of AI in different areas. These chapters are extended papers from the Third Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 23–24, 2024.