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Network Psychometrics with R
A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an...
Cognitive Operations
This book examines how people make decisions under risk and uncertainty in operational settings and opens the black box by specifying the cognitive processes that lead to human behavior. Drawing on economics, psychology and artificial intelligence, the book provides an innovative perspective on behavioral operations. It shows how to build optimization as well as heuristic models for describing human behavior and how to compare such models on various dimensions such as predictive power and transparency, as well as discussing interventions for improving human behavior. This book will be particularly valuable to academics and practitioners who seek to select a modeling approach that suits the operational decision at hand.
Quantitative Psychology
The volume represents presentations given at the 87th annual meeting of the Psychometric Society, held in Bologna, Italy at July 11–15, 2022. The proceedings cover a diverse set of psychometric topics, including item response theory, Bayesian models, reliability, latent variable models, causal inference, and cognitive diagnostic models.
Models for Intensive Longitudinal Data
A new class of longitudinal data has emerged with the use of technological devices for scientific data collection called Intensive Longitudinal Data. This volume features state-of-the-art applied statistical modelling strategies developed by leading statisticians and methodologists.
Modeling and Stochastic Learning for Forecasting in High Dimensions
The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive advances in observational capabilities and measurement procedures. On June 5-7, 2013, an international Workshop on Industry Practices for Forecasting was held in Paris, France, organized and supported by the OSIRIS Department of Electricité de France Research and Development Division. In keeping with tradition, both theoretical statistical results and practical contributions on this active field ...
Advanced Studies in Classification and Data Science
This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines. In addition to sharing theoretical and methodological findings, the book shows how to apply the proposed methods to a variety of problems — e.g. in consumer behavior, decision-making, marketing data and social network structures. Both method...
Instrumentalising Foreign Language Pedagogy in Translator and Interpreter Training
This volume offers a wide array of cutting-edge original research on the implementation of Foreign Language Pedagogy in translator and interpreter training, a still rather unexplored field of research in Translation Studies. It is divided in two distinct sections. The first section focuses on theoretical approaches to this topic. The chapters of this section will offer the reader valuable new knowledge and thoughts on how to update and enrich academic curricula as well as how to make use of cognitive linguistics and to implement a multicultural approach in the demanding domain of translator and interpreter training. The second practical section comprises a series of diverse methods and didac...
Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop
This work contains the proceedings of the Sensor Array and Multichannel Workshop held in the year 2000. It should be useful to researchers, professors, practitioners, students and professionals.
Open Borders
An Economist “Our Books of the Year” Selection Economist Bryan Caplan makes a bold case for unrestricted immigration in this fact-filled graphic nonfiction. American policy-makers have long been locked in a heated battle over whether, how many, and what kind of immigrants to allow to live and work in the country. Those in favor of welcoming more immigrants often cite humanitarian reasons, while those in favor of more restrictive laws argue the need to protect native citizens. But economist Bryan Caplan adds a new, compelling perspective to the immigration debate: He argues that opening all borders could eliminate absolute poverty worldwide and usher in a booming worldwide economy—greatly benefiting humanity. With a clear and conversational tone, exhaustive research, and vibrant illustrations by Zach Weinersmith, Open Borders makes the case for unrestricted immigration easy to follow and hard to deny.
