Author: Alexander Chudik
Publisher: Emerald Group Publishing
ISBN: 180262063X
Category : Business & Economics
Languages : en
Pages : 316
Book Description
The collection of chapters in Volume 43 Part A of Advances in Econometrics serves as a tribute to one of the most innovative, influential, and productive econometricians of his generation, Professor M. Hashem Pesaran.
Essays in Honor of M. Hashem Pesaran
Essays in Honour of Fabio Canova
Author: Juan J. Dolado
Publisher: Emerald Group Publishing
ISBN: 1803828315
Category : Business & Economics
Languages : en
Pages : 203
Book Description
Both parts of Volume 44 of Advances in Econometrics pay tribute to Fabio Canova for his major contributions to economics over the last four decades.
Publisher: Emerald Group Publishing
ISBN: 1803828315
Category : Business & Economics
Languages : en
Pages : 203
Book Description
Both parts of Volume 44 of Advances in Econometrics pay tribute to Fabio Canova for his major contributions to economics over the last four decades.
Essays on Combination of Forecasts
Author: Huiyu Huang
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 278
Book Description
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 278
Book Description
Three Essays on Bayesian Analysis of Korean Economy
Author: Sung Ju Song
Publisher:
ISBN:
Category :
Languages : en
Pages : 352
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 352
Book Description
Essays in Honor of Aman Ullah
Author: R. Carter Hill
Publisher: Emerald Group Publishing
ISBN: 1785607863
Category : Business & Economics
Languages : en
Pages : 680
Book Description
Volume 36 of Advances in Econometrics recognizes Aman Ullah's significant contributions in many areas of econometrics and celebrates his long productive career.
Publisher: Emerald Group Publishing
ISBN: 1785607863
Category : Business & Economics
Languages : en
Pages : 680
Book Description
Volume 36 of Advances in Econometrics recognizes Aman Ullah's significant contributions in many areas of econometrics and celebrates his long productive career.
Model Averaging
Author: David Fletcher
Publisher: Springer
ISBN: 3662585413
Category : Mathematics
Languages : en
Pages : 112
Book Description
This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the methods developed in this area, illustrating many of them with examples from the life sciences involving real-world data. It also includes an extensive list of references and suggestions for further research. Further, it clearly demonstrates the links between the methods developed in statistics, econometrics and machine learning, as well as the connection between the Bayesian and frequentist approaches to model averaging. The book appeals to statisticians and scientists interested in what methods are available, how they differ and what is known about their properties. It is assumed that readers are familiar with the basic concepts of statistical theory and modelling, including probability, likelihood and generalized linear models.
Publisher: Springer
ISBN: 3662585413
Category : Mathematics
Languages : en
Pages : 112
Book Description
This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the methods developed in this area, illustrating many of them with examples from the life sciences involving real-world data. It also includes an extensive list of references and suggestions for further research. Further, it clearly demonstrates the links between the methods developed in statistics, econometrics and machine learning, as well as the connection between the Bayesian and frequentist approaches to model averaging. The book appeals to statisticians and scientists interested in what methods are available, how they differ and what is known about their properties. It is assumed that readers are familiar with the basic concepts of statistical theory and modelling, including probability, likelihood and generalized linear models.
Bayesian Model Averaging and Exchange Rate Forecasts
Author: Jonathan H. Wright
Publisher:
ISBN:
Category : Foreign exchange
Languages : en
Pages : 38
Book Description
Publisher:
ISBN:
Category : Foreign exchange
Languages : en
Pages : 38
Book Description
Three Essays on Macroeconometrics
Author: Pablo Matias Pincheira Brown
Publisher:
ISBN:
Category :
Languages : en
Pages : 204
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 204
Book Description
Essays in Honor of Cheng Hsiao
Author: Dek Terrell
Publisher: Emerald Group Publishing
ISBN: 1789739594
Category : Business & Economics
Languages : en
Pages : 427
Book Description
Including contributions spanning a variety of theoretical and applied topics in econometrics, this volume of Advances in Econometrics is published in honour of Cheng Hsiao.
Publisher: Emerald Group Publishing
ISBN: 1789739594
Category : Business & Economics
Languages : en
Pages : 427
Book Description
Including contributions spanning a variety of theoretical and applied topics in econometrics, this volume of Advances in Econometrics is published in honour of Cheng Hsiao.
Macroeconomic Forecasting in the Era of Big Data
Author: Peter Fuleky
Publisher: Springer Nature
ISBN: 3030311503
Category : Business & Economics
Languages : en
Pages : 716
Book Description
This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.
Publisher: Springer Nature
ISBN: 3030311503
Category : Business & Economics
Languages : en
Pages : 716
Book Description
This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.