<--- Back to Details
First PageDocument Content
Science / Knowledge / Decision field theory / Neural networks / Econometrics / Artificial neural network / Preference / Stochastic differential equation / Neuroeconomics / Statistics / Computational neuroscience / Cognitive science
Date: 2013-12-29 09:37:44
Science
Knowledge
Decision field theory
Neural networks
Econometrics
Artificial neural network
Preference
Stochastic differential equation
Neuroeconomics
Statistics
Computational neuroscience
Cognitive science

doi:[removed]j.neunet[removed]

Add to Reading List

Source URL: mypage.iu.edu

Download Document from Source Website

File Size: 760,27 KB

Share Document on Facebook

Similar Documents

Why Hammerstein-Type Block Models Are So Efficient: Case Study of Financial Econometrics Thongchai Dumrongpokaphan, Afshin Gholamy, Vladik Kreinovich, and Hoang Phuong Nguyen Abstract In the first approximation, many ec

DocID: 1vs8z - View Document

HeiKaMEtrics-Seminar Joint Heidelberg, Karlsruhe and Mannheim research seminar in Econometrics The Macroeconomic Impact of Money Market Freezes Marie Hoerova European Central Bank

DocID: 1vjYB - View Document

Literature for „Econometrics of Evaluation“ A) Experiments: 1. Angrist, Joshua D. and Jörn-Steffen Pischke. 2009. „Mostly Harmless Econometrics – An Empiricist’s Companion“. Princeton University Press. Chapt

DocID: 1vjgW - View Document

Reading list for the talk “Gender inequality, measurement and evidence” Winter School on Inequality and Social Welfare Theory 2017 Elena Bárcena-Martín. Applied Economics. Statistics and Econometrics Deparment. Uni

DocID: 1v5Hi - View Document

Automatic Synthesis Using Genetic Programming of an Improved General-Purpose Controller for Industrially Representative Plants Martin A. Keane Econometrics Inc. Chicago, Illinois

DocID: 1v2q1 - View Document