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Mathematical Finance
Rigorous in style, yet easy to use, this comprehensive textbook offers a systematic, self-sufficient yet concise presentation of the main topics and related parts of Stochastic Analysis and statistical finance covered in most degree courses.
Architecture and the Unconscious
There are a number of recent texts that draw on psychoanalytic theory as an interpretative approach for understanding architecture, or that use the formal and social logics of architecture for understanding the psyche. But there remains work to be done in bringing what largely amounts to a series of independent voices, into a discourse that is greater than the sum of its parts, in the way that, say, the architect Peter Eisenman was able to do with the architecture of deconstruction or that the historian Manfredo Tafuri was able to do with the Marxist critique of architecture. The discourse of the present volume focuses specifically for the first time on the subject of the unconscious in rela...
Nonparametric Econometric Methods and Application
The present Special Issue collects a number of new contributions both at the theoretical level and in terms of applications in the areas of nonparametric and semiparametric econometric methods. In particular, this collection of papers that cover areas such as developments in local smoothing techniques, splines, series estimators, and wavelets will add to the existing rich literature on these subjects and enhance our ability to use data to test economic hypotheses in a variety of fields, such as financial economics, microeconomics, macroeconomics, labor economics, and economic growth, to name a few.
Focus on Probability Theory
Probability theory is the mathematical theory of random (non-deterministic) phenomena. This book presents the latest research in the field.
Operations Research and Enterprise Systems
This book includes extended and revised versions of selected papers from the 9th and 10th edition of the International Conference on Operations Research and Enterprise Systems (ICORES 2020 and ICORES 2021). ICORES 2020 was held in Valletta, Malta from 22 – 24 of February 2020, and ICORES 2021 was held as an online event due to the Covid-19 pandemic, from 4 – 6 of February 2021. The 11 full papers included in this book were carefully reviewed and selected from 132 submissions. The ICORES 2020 and 2021 book contains extended and revised version of proceedings papers dealing with operations research and enterprise systems.
Essentials of Advanced Macroeconomic Theory
Trying to summarize the essentials of macroeconomic theory in the wake of the financial crisis that has shaken not only Western economies but also the macroeconomic profession is no easy task. In particular, the notion that markets are self-correcting and always in equilibrium appears to have taken a heavy blow. However, the jury is still out on which areas should be considered as failures and what which constitute the future of research. The overall aim of this text is to provide a compact overview of the contributions that are currently regarded as the most important for macroeconomic analysis and to equip the reader with the essential theoretical knowledge that all advanced students in macroeconomics should be acquainted with. The result is a compact text that should act as the perfect complement to further study of macroeconomics: an introduction to the key concepts discussed in the journal literature and suitable for students from upper undergraduate level through to PhD courses.
Applied Health Economics
The first edition of Applied Health Economics did an expert job of showing how the availability of large scale data sets and the rapid advancement of advanced econometric techniques can help health economists and health professionals make sense of information better than ever before. This second edition has been revised and updated throughout and includes a new chapter on the description and modelling of individual health care costs, thus broadening the book’s readership to those working on risk adjustment and health technology appraisal. The text also fully reflects the very latest advances in the health economics field and the key journal literature. Large-scale survey datasets, in parti...
Introduction to Estimating Economic Models
The book's comprehensive coverage on the application of econometric methods to empirical analysis of economic issues is impressive. It uncovers the missing link between textbooks on economic theory and econometrics and highlights the powerful connection between economic theory and empirical analysis perfectly through examples on rigorous experimental design. The use of data sets for estimation derived with the Monte Carlo method helps facilitate the understanding of the role of hypothesis testing applied to economic models. Topics covered in the book are: consumer behavior, producer behavior, market equilibrium, macroeconomic models, qualitative-response models, panel data analysis and time-series analysis. Key econometric models are introduced, specified, estimated and evaluated. The treatment on methods of estimation in econometrics and the discipline of hypothesis testing makes it a must-have for graduate students of economics and econometrics and aids their understanding on how to estimate economic models and evaluate the results in terms of policy implications.
Computational Economics
Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a mathematical model and to solve it computationally is becoming a crucial and distinctive competence for most economists. This vital textbook is organized around static and dynamic models, covering both macro and microeconomic topics, exploring the numerical techniques required to solve those models. A key aim of the book is to enable students to develop the ability to modify the models themselves so that, ...
MSEA 2023
The 2nd International Conference on Mathematical Statistics and Economic Analysis (MSEA 2023) was held virtually from 26-28 May 2023 in Nanjing, China. The conference was attended by researchers, teachers, students and engineers in the field of mathematical statistics and economic analysis. Through data statistics and analysis, we can quickly understand the pattern of economic development. This conference combines mathematical statistics and economic analysis, explores the relationship between the two, and provides a platform for experts and scholars in the fields of mathematical statistics and economic analysis to discuss related issues and exchange ideas. Therefore, we hope to create a forum for sharing research results and exploring future research directions, so that participants can learn about the latest research directions, contents and results of mathematical statistics and economic analysis; secondly, we hope that the conference can provide solutions to the major problems facing mathematical statistics and economic analysis, and create a space that encourages discussion and joint development of research, technological development and innovation.
