This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications.
The estimation and the validation of the Basel II risk parameters PD (default probability), LGD (loss given fault), and EAD (exposure at default) is an important problem in banking practice.
This is a practical guide to solutions for a case study of forecasting demand for services and products in international markets - and so much more than just another listing of dry theoretical methods.
provide models that could be used by do-it-yourselfers and also can be used toprovideunderstandingofthebackgroundissuessothatonecandoabetter job of working with the (proprietary) algorithms of the software vendors.
A Short History of Economics offers a compelling journey through the evolution of economic thought, from ancient trade systems to the complexities of modern global markets.
This compendium collects advances and reflections on the teaching of econometrics from internationally well-known econometricians, including a number of accomplished textbook writers.
This compendium collects advances and reflections on the teaching of econometrics from internationally well-known econometricians, including a number of accomplished textbook writers.
This book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels and dynamic spatial panel data models.
Causal Inference and Machine Learning in Economics, Social, and Health Sciences bridges the gap between modern machine learning methods and the applied needs of economists, public health researchers, and social scientists.
This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas.
Causal Inference and Machine Learning in Economics, Social, and Health Sciences bridges the gap between modern machine learning methods and the applied needs of economists, public health researchers, and social scientists.
Business Analytics is an emerging area which encompasses various technical understanding, essential for both engineering and management fields of study.
Business Analytics is an emerging area which encompasses various technical understanding, essential for both engineering and management fields of study.
