About the book: Although geometry has always aided intuition in econometrics, more recently Differential Geometry has become a standard tool in the analysis of statistical models, offering a deeper appreciation of existing methodologies and highlighting the essential issues which can be hidden in an algebraic development of a problem. Originally published in 2000, this volume was an early example of the application of these techniques to econometrics. An introductory chapter provides a brief tutorial for those unfamiliar with the tools of Differential Geometry. The topics covered in the following chapters demonstrate the power of the geometric method to provide practical solutions and insight into problems of econometric inference
Publisher: SAGE Publications LtdAre we cautious enough when using linear models? After the 1970s lin...
We show how information geometry throws new light on the interplay between goodness-of-fit and estim...
The advantage of the geometric approach to linear model and its applications is known to many author...
Differential geometry has found fruitful application in statistical interence. In particular, Amari...
In this introductory chapter we seek to cover sufficient differential geometry in order to understan...
A brief synopsis of progress in differential geometry in statistics is followed by a note of some po...
Chapters 1 and 2 are both surveys of the current work in applying geometry to statistics. Chapter 1...
This book covers topics of Informational Geometry, a field which deals with the differential geometr...
This thesis will take a look at the roots of modern-day information geometry and some applications i...
Abstract. A brief synopsis of progress in differential geometry in statistics is followed by a note ...
Thesis: Ph. D. in Economics and Statistics, Massachusetts Institute of Technology, Department of Eco...
Esta dissertação procura mostrar como a Geometria pode ser usada para auxiliar na compreensão de mui...
"The purpose of this primer is to impart a real understanding of the most commonly used statistical ...
A new preferred point geometric structure for statistical analysis, closely related to Amari's alpha...
When dealing with a parametric statistical model, a Riemannian manifold can naturally appear by endo...
Publisher: SAGE Publications LtdAre we cautious enough when using linear models? After the 1970s lin...
We show how information geometry throws new light on the interplay between goodness-of-fit and estim...
The advantage of the geometric approach to linear model and its applications is known to many author...
Differential geometry has found fruitful application in statistical interence. In particular, Amari...
In this introductory chapter we seek to cover sufficient differential geometry in order to understan...
A brief synopsis of progress in differential geometry in statistics is followed by a note of some po...
Chapters 1 and 2 are both surveys of the current work in applying geometry to statistics. Chapter 1...
This book covers topics of Informational Geometry, a field which deals with the differential geometr...
This thesis will take a look at the roots of modern-day information geometry and some applications i...
Abstract. A brief synopsis of progress in differential geometry in statistics is followed by a note ...
Thesis: Ph. D. in Economics and Statistics, Massachusetts Institute of Technology, Department of Eco...
Esta dissertação procura mostrar como a Geometria pode ser usada para auxiliar na compreensão de mui...
"The purpose of this primer is to impart a real understanding of the most commonly used statistical ...
A new preferred point geometric structure for statistical analysis, closely related to Amari's alpha...
When dealing with a parametric statistical model, a Riemannian manifold can naturally appear by endo...
Publisher: SAGE Publications LtdAre we cautious enough when using linear models? After the 1970s lin...
We show how information geometry throws new light on the interplay between goodness-of-fit and estim...
The advantage of the geometric approach to linear model and its applications is known to many author...