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Regression for Categorical Data
This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods. The book is accompanied by an R package that contains data sets and code for all the examples.
Empirical Economic and Financial Research
The purpose of this book is to establish a connection between the traditional field of empirical economic research and the emerging area of empirical financial research and to build a bridge between theoretical developments in these areas and their application in practice. Accordingly, it covers broad topics in the theory and application of both empirical economic and financial research, including analysis of time series and the business cycle; different forecasting methods; new models for volatility, correlation and of high-frequency financial data and new approaches to panel regression, as well as a number of case studies. Most of the contributions reflect the state-of-art on the respective subject. The book offers a valuable reference work for researchers, university instructors, practitioners, government officials and graduate and post-graduate students, as well as an important resource for advanced seminars in empirical economic and financial research.
Advances in Data Analysis
This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. Coverage details a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining and reports a host of challenging applications in various fields.
Analysis of Multivariate and High-Dimensional Data
This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.
Explaining Russian-German code-mixing
The study of grammatical variation in language mixing has been at the core of research into bilingual language practices. Although various motivations have been proposed in the literature to account for possible mixing patterns, some of them are either controversial, or remain untested. Little is still known about whether and how frequency of use of linguistic elements can contribute to the patterning of bilingual talk. This book is the first to systematically explore the factor usage frequency in a corpus of bilingual speech. The two aims are (i) to describe and analyze the variation in mixing patterns in the speech of Russia German adolescents and young adults in Germany, and (ii) to propo...
Post-predicate elements in the Western Asian Transition Zone
This volume explores word-order phenomena across a phylogenetically diverse sample of languages covering a region loosely referred to as the Western Asian Transition Zone, approximately corresponding to western Iran, northern Iraq, eastern Turkey and the Caucasus. The sample includes representatives from four branches of Indo-European (Iranian, Hellenic, Armenian, Indo-Aryan) as well as Turkic, Semitic, Kartvelian, Northwest Caucasian and Northeast Caucasian. Methodologically, we apply a corpus-based approach to word-order, building on two purpose-built and fully accessible data-bases of spoken language corpora, WOWA (Word Order in Western Asia), and HamBam (Hamedan-Bamberg Corpus of Contemp...
Innovations in Classification, Data Science, and Information Systems
The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.
High-Dimensional Statistics
A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.
