Maximum Entropy Econometrics: Robust Estimation with Limited DataISBN: 978-0-471-95311-1
Hardcover
324 pages
May 1996
 Add to Cart
This price is valid for United States. Change location to view local pricing and availability.  This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 5-6 days delivery time. The book is not returnable.
|
The Classical Maximum Entropy Formalism: A Review.
PURE INVERSE PROBLEMS.
Basic Maximum Entropy Principle: Formulation and Extensions.
Formulation and Solution of Pure Inverse Problems.
Generalized Pure Inverse Problems.
LINEAR INVERSE PROBLEMS WITH NOISE.
Generalized Maximum Entropy (GME) and Cross-Entropy (GCE) Formulations.
Finite Sample Extensions of GME-GCE.
GENERAL LINEAR MODEL APPLICATIONS OF GME-GCE.
GME-GCE Solutions to Ill-conditioned Problems.
General Linear Statistical Model with a Non-scalar Identity Covariance Matrix Statistical Model Selection.
A SYSTEM OF ECONOMIC STATISTICAL RELATIONS.
Sets of Linear Statistical Models.
Simultaneous Equations Statistical Model.
LINEAR AND NON-LINEAR DYNAMIC SYSTEMS.
Estimation and Inference of Dynamic Linear Inverse Problems.
Linear and Non-linear Dynamic Systems with Control.
DISCRETE CHOICE-CENSORED PROBLEMS.
Recovering Information from Multinomial Response Data.
Recovering Information from Censored Response Data.
COMPUTATIONAL NOTES.
Computing GME-GCE Solutions.
Epilogue.
Selected Reading.
Index.
PURE INVERSE PROBLEMS.
Basic Maximum Entropy Principle: Formulation and Extensions.
Formulation and Solution of Pure Inverse Problems.
Generalized Pure Inverse Problems.
LINEAR INVERSE PROBLEMS WITH NOISE.
Generalized Maximum Entropy (GME) and Cross-Entropy (GCE) Formulations.
Finite Sample Extensions of GME-GCE.
GENERAL LINEAR MODEL APPLICATIONS OF GME-GCE.
GME-GCE Solutions to Ill-conditioned Problems.
General Linear Statistical Model with a Non-scalar Identity Covariance Matrix Statistical Model Selection.
A SYSTEM OF ECONOMIC STATISTICAL RELATIONS.
Sets of Linear Statistical Models.
Simultaneous Equations Statistical Model.
LINEAR AND NON-LINEAR DYNAMIC SYSTEMS.
Estimation and Inference of Dynamic Linear Inverse Problems.
Linear and Non-linear Dynamic Systems with Control.
DISCRETE CHOICE-CENSORED PROBLEMS.
Recovering Information from Multinomial Response Data.
Recovering Information from Censored Response Data.
COMPUTATIONAL NOTES.
Computing GME-GCE Solutions.
Epilogue.
Selected Reading.
Index.
