Statistical Methods For Imbalanced Data In Ecological And Biological Studies
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Statistical Methods for Imbalanced Data in Ecological and Biological Studies
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
Author: Anna Fitri Hindriana
language: en
Publisher: European Alliance for Innovation
Release Date: 2022-08-18
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
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