Search Results

AN OVERVIEW OF TECHNIQUES FOR GENETIC EVOLUTION OF FUZZY SYSTEMS,
J. Lambert, M. Schneider and A. Kandel, in Fuzzy Economic Review (2003)
Keywords: Fuzzy Techniques, Genetic Evolution, Integrated Fuzzy Systems, Imprecise Decision Making

MULTIOBJECTIVE EVOLUTIONARY OPTIMIZATION FOR ELMAN RECURRENT NEURAL NETWORKS, APPLIED TO TIME SERIES PREDICTION,
M. P. Cuellar, M. Delgado and M. C. Pegalajar, in Fuzzy Economic Review (2005)
Keywords: Recurrent Neural Networks, multiobjective, time series prediction

Evaluation of Fuzzy Rules Extracted from Data,
Adam Schenker, Mark Last and Abraham Kandel, in Fuzzy Economic Review (2001)
Keywords: Fuzzy hypothesis testing, fuzzy rule evaluation, data mining, approximate reasoning, sampling

Voluntary Participation as a Determinant of Social Capital in France Allowing for Parameter Heterogeneity,
Marie Lebreton and Katia Melnik, in European Journal of Economic and Social Systems (2006)
Keywords: Social Capital; Parameter Heterogeneity; Neural network Models

Artificial Neural Networks for Energy Management System Applicability and Limitations of the Main Paradigms,
Gonzalo Joya, Francisco Garcìa-Lagos, Miguel A. Atencia and Francisco Sandoval, in European Journal of Economic and Social Systems (2004)
Keywords: Artificial Neuronal Network; Energy Management System; Neural Paradigms Applicability; Input Selection

Multi-Step-Ahead Prediction with Neural Networks,
Romuald Boné and Michel Crucianu, in European Journal of Economic and Social Systems (2004)
Keywords: Time Series Prediction; Neural Networks; Multi-step-ahead Prediction; Longrange Dependencies

Design of Artificial Neural Networks using Evolutionary Computation,
Francisco Sandoval, Francisco Garcìa-Lagos and Gonzalo Joya, in European Journal of Economic and Social Systems (2004)
Keywords: Genetic Algorithms; Evolutionary Computation; Artificial Neural Networks

No-linealidades en la demanda de efectivo en Colombia: las redes neuronales como herramienta de pronóstico,
Martha Misas, Enrique López, Carlos Alberto Arango and uan Nicolás Hernández A., in Revista ESPE - Ensayos Sobre Política Económica (2004)
Keywords: DEMAND FOR MONEY

Neural networks. Editorial,
Patrice Gaubert, in European Journal of Economic and Social Systems (2004)
Keywords: Neural Network; Pseudo Panels; Financial Data

Recurrent neural network based parameter estimation of Hawkes model on high-frequency financial data,
Kyungsub Lee, in Finance Research Letters (2023)
Keywords: High-frequency stock price; Hawkes model; Neural network; Estimation; Volatility;

Development of an Ensemble of Models for Predicting Socio-Economic Indicators of the Russian Federation using IRT-Theory and Bagging Methods,
Olga Kitova and Victoria Savinova, from University Library of Munich, Germany (2021)
Keywords: Socio-economic Indicators of the Russian Federation, Forecasting, Bagging, Multiple Linear Regression, Neural Networks, Item Response Theory

Neural Networks. A General Framework for Non-Linear Function Approximation,
Manfred Fischer, from University Library of Munich, Germany (2006)
Keywords: n.a.

Learning in Neural Spatial Interaction Models: A Statistical Perspective,
Manfred Fischer, from University Library of Munich, Germany (2002)
Keywords: Maximum likelihood learning, local search, global search, backpropagation of gradient descents, Alopex procedure, origin constrained neural spatial interaction model

A Methodology for Neural Spatial Interaction Modeling,
Manfred Fischer and Martin Reismann, from University Library of Munich, Germany (2002)
Keywords: n.a.

Optimization in an Error Backpropagation Neural Network Environment with a Performance Test on a Pattern Classification Problem,
Manfred Fischer and Petra Staufer, from University Library of Munich, Germany (1998)
Keywords: Feedforward Neural Network Training, Numerical Optimization Techniques, Error Backpropagation, Cross-Entropy Error Function, Multispectral Pixel-by-Pixel Classification.

Evaluation of Neural Pattern Classifiers for a Remote Sensing Application,
Manfred Fischer, Sucharita Gopal, Petra Staufer and Klaus Steinnocher, from University Library of Munich, Germany (1995)
Keywords: Neural Classifiers, Classification of Multispectral Image Data, Pixel-by-Pixel Classification, Backpropagation, Sensitivity Analysis

Expert Systems and Artificial Neural Networks for Spatial Analysis and Modelling. Essential Components for Knowledge-Based Geographical Information Systems,
Manfred Fischer, from University Library of Munich, Germany (1992)
Keywords: n.a.

Artificial Neural Networks. A New Approach to Modelling Interregional Telecommunication Flows,
Manfred Fischer and Sucharita Gopal, from University Library of Munich, Germany (1994)
Keywords: n.a.

A review of Knowledge Graph and Graph Neural Network application,
Elda Xhumari, Suela Maxhelaku and Endrit Xhina, from International Institute of Social and Economic Sciences (2022)
Keywords: Knowledge Graph, Graph Neural Network, DeepWalk, Node2Vec, Structural Deep Network Embedding

Artificial Stupidity: A Reply,
Jens Carsten Jackwerth, from University Library of Munich, Germany (1997)
Keywords: Artifical; Stupidity; Neural Networks

Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks,
Andreas S. Andreou, George Zombanakis, E. F. Georgopoulos and S. D. Likothanassis, from University Library of Munich, Germany (1998)
Keywords: Key Words: Exchange Rates, Forecasting, Neural Networks

Case Study in Banking Using Neural Networks,
Alisa Bilal Zorić, from IRENET - Society for Advancing Innovation and Research in Economy, Zagreb (2015)
Keywords: data mining, neural network, banking, alyuda

Domestic Investment and the Cost of Capital in the Caribbean,
Shaun K. Roache, in Applied Econometrics and International Development (2006)

Usage of artificial neural networks in data classification,
Elda Xhumari and Julian Fejzaj, from International Institute of Social and Economic Sciences (2019)
Keywords: Artificial Neural Networks, Data Classification, Naïve Bayes, Discriminant Analysis, Nearest Neighbor

Augmenting Pre-Analysis Plans with Machine Learning,
Jens Ludwig, Sendhil Mullainathan and Jann Spiess, in AEA Papers and Proceedings (2019)

Management of Early Failure Detection of Production Process: The Case of the Clutch Shaft Alignment using LSTM Deep Learning Algorithm,
Bartosz Przysucha, Tomasz Rymarczyk, Dariusz Wojcik, Marcin Kowalski and Ryszard Bialek, in European Research Studies Journal (2021)
Keywords: LSTM deep learning, predictive maintenance, ANN artificial neutral network.

Existence and Global Attractivity of Stable Solutions in Neural Networks,
Patrick Leoni and Pietro Senesi, from Institute for Empirical Research in Economics - University of Zurich
Keywords: Neural Networks, Stable Value

Financial Computational Intelligence,
Chiu-Che Tseng and Yu-Chieh Lin, from Society for Computational Economics (2005)
Keywords: Artificial intelligence, neural network, decision tree, bayesian network

Machine learning in supply chain: prediction of real-time e-order arrivals using ANFIS,
Ihab K. A. Hamdan, Wulamu Aziguli, Dezheng Zhang and Eli Sumarliah, in International Journal of System Assurance Engineering and Management (2023)
Keywords: Machine learning, E-commerce, Supply chain management, Third-party logistics, Real-time demand prediction

Stratified/Pca: A data and variable processing method for the construction of neural network models,
Gerardo A. Colmenares L., in Economía (2000)
Keywords: Modelos de redes neuronales, estratificación, análisis de componentes principales, reducción de datos, reducción de variables, preprocesamiento de datos.

Autocalibration and Tweedie-dominance for insurance pricing with machine learning,
Michel Denuit, Arthur Charpentier and Julien Trufin, in Insurance: Mathematics and Economics (2021)
Keywords: Risk classification; Method of marginal totals; Tweedie distribution family; Convex order; Autocalibration;

Wicked Problems Might Inspire Greater Data Sharing,
Susan Aaronson, from The George Washington University, Institute for International Economic Policy (2022)
Keywords: data, AI, public good, wicked problems, data-sharing

Enhancing the Usability of European Digital Cultural Library Using Web Architectures and Deep Learning,
Octavian Machidon, Dragoș Stoica and Aleš Tavčar, from Springer (2020)
Keywords: Digital cultural library, Semantic web, Deep learning

The Carnegie Conjecture: Some Empirical Evidence,
Douglas Holtz-Eakin, David Joulfaian and Harvey Rosen, from Princeton University, Department of Economics, Industrial Relations Section. (1992)
Keywords: inheritance, estate, labor supply

The application of clustering analysis to international private indebtedness,
André Monteiro D'Almeida Monteiro, Dionísio Dias Carneiro and Carlos Pedreira, from Department of Economics PUC-Rio (Brazil) (1999)

Reti Neurali Artificiali: Teoria ed Applicazioni Finanziarie,
Crescenzio Gallo, from Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia (2007)
Keywords: reti neurali artificiali; modellizzazione.

Behaviour of Humans and Behaviour of Models in Dynamic Space,
Peter Nijkamp, from Tinbergen Institute (2011)
Keywords: Quantitative geography, spatial interaction models, neural networks

Analysis of ROBECO data by neural networks,
Wojtek Kowalczyk and Rafał Weron, from Hugo Steinhaus Center, Wroclaw University of Science and Technology (1995)
Keywords: Neural network; Classification; Client satisfaction;

Social Networking Sites: A premise on enhancement,
Maninderpal Singh Saini and Gyewon Moon, in Journal of Internet Banking and Commerce (2013)
Keywords: Social Networking Sites; Decision Making; Leadership; User feedback

No More Cost in Translation: Validating Open-Source Machine Translation for Quantitative Text Analysis,
Hauke Licht, Ronja Sczepanski, Moritz Laurer and Ayjeren Bekmuratovna, from University of Bonn and University of Cologne, Germany (2024)
Keywords: machine translation, multilingual topic modeling, multilingual Transformers

Who are They Talking About? Detecting Mentions of Social Groups in Political Texts with Supervised Learning,
Hauke Licht and Ronja Sczepanksi, from University of Bonn and University of Cologne, Germany (2024)
Keywords: social groups, political rhetoric, computational text analysis, supervised classification

Lisrel ile Yapisal Esitlik Modelleri: Tuketici Sikayetlerine Uygulanmasi,
Veysel Yilmaz, in Anadolu University Journal of Social Sciences (2004)
Keywords: Stuructural equation modeling, Latent variables, Consumer complaints.

SERV‹CE QUAL‹TY MEASUREMENTIN THE TURKISH HIGHER EDUCATION SYSTEM W‹TH SERVQUAL METHOD,
Veysel Yilmaz, Zeynep Filiz and Betul Yaprak, in Anadolu University Journal of Social Sciences (2007)
Keywords: SERVQUAL, Quality in higher education, Service quality

Validation of SERVQUAL Model in Relation to Customer Loyalty: Evidence from FMCGs in Pakistan,
Ammar Ahmed, Faiz Muhammad Khuwaja, Ismail Bin Lebai Othman, Muhammad Asif Qureshi and Rao Akmal Ali, in Sukkur IBA Journal of Management and Business (2017)
Keywords: SERVQUAL; Service Quality; Customer Loyalty; Fast Moving Consumer Goods; PLS-SEM.

Discrete multivariate distributions,
Oleg Yu. Vorobyev, from University Library of Munich, Germany (2008)
Keywords: multivariate discrete distribution; multivariate Binomial distribution; multivariate Poisson distribution; eventology; dependence of events

A Monte Carlo study on two methods of calculating the MLEs covariance matrix in a seemingly unrelated nonlinear regression,
Mark Jensen, from University Library of Munich, Germany (1995)
Keywords: nonlinear SURE models, covariance estimates, hypothesis testing of neoclassical theory

Conjugate Gradient methods for solving sparse Simultaneous Equations Models,
Paolo Foschi and Erricos Kontoghiorghes, from Society for Computational Economics (2002)
Keywords: Simultaneous Equations Models, 3SLS, Conjugate Gradient methods

A Model of Energy Demand in the U.S. Commercial Sector with Declining Rate Schedules,
Frank Denton, Dean Mountain and Byron Spencer, from McMaster University (2000)
Keywords: energy demand; declining rate schedules

An Alternative Approach to Obtaining Nagar-Type Moment Approximations in Sumultaneous Equation Models,
Garry Phillips, from University of Exeter, Department of Economics (1999)
Keywords: REGRESSION ANALYSIS ; ECONOMETRICS

Simultaneous Equation Econometrics: The Missing Example,
Dennis Epple and Bennett McCallum, in Economic Inquiry (2006)

Denis Sargan: some perspectives,
Peter M. Robinson, from London School of Economics and Political Science, LSE Library (2002)
Keywords: Denis Sargan; Tooke Chair of Economic Science and Statistics; asymptotic theory and large models; semiparametric econometrics.

Inference in partially identified heteroskedastic simultaneous equations models,
Helmut Lütkepohl, George Milunovich and Minxian Yang, in Journal of Econometrics (2020)
Keywords: Heteroskedasticity; Simultaneous equations models; Testing for identification; Davies’ problem;

A Mean Probability Event for a Set of Events,
Oleg Yu. Vorobyev and Natalia A. Lukyanova, from University Library of Munich, Germany (2013)
Keywords: eventology, probability, universal probability space, universal elementary outcome, universal event, set of universal events, mean measure set, mean probability event, mean probability terrace partition.

An econometric analysis of volatility discovery,
Gustavo Fruet Dias, Fotis Papailias and Cristina Scherrer, from London School of Economics and Political Science, LSE Library (2023)
Keywords: double asymptotics; fractionally cointegrated vector autoregressive model; high-frequency data; long memory; market microstructure; price discovery; realized measures

Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments,
Joshua Angrist and Alan Krueger, in Journal of Economic Perspectives (2001)

Split Sample Instrumental Variables,
Joshua Angrist and Alan Krueger, from National Bureau of Economic Research, Inc (1995)

Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left,
Jerry Hausman, in Journal of Economic Perspectives (2001)

A note on the double k-class estimator in simultaneous equations,
Kajal Lahiri and Chuanming Gao, from University Library of Munich, Germany (2002)
Keywords: Limited Information; Simultaneous Equations; Finite Sample; Mean Squared Error.

Stima delle equazioni simultanee non-lineari: una rassegna,
Giorgio Calzolari, from University Library of Munich, Germany (1992)
Keywords: Econometric models; simultaneous equations; nonlinear models; estimation methods; survey

Combining cluster analysis with synthetic control for evaluating economic impacts of the dam breach in Mariana, Brazil,
Leonardo Biazoli, Ednilson Sebastião Ávila and Izabela Regina Cardoso Oliveira, in Empirical Economics (2024)
Keywords: Causal inference, Dynamic time warping, Sociotechnical disasters, Cluster analysis

Central and east European social policy and European union accession - time for reflections,
Noemi Lendvai, in Financial Theory and Practice (2005)
Keywords: European Union Accession, social policy, institutionalism

Threshold Effects of Institutional Quality in the Infrastructure-Growth Nexus,
Eyitayo O. Ogbaro, in Journal of Quantitative Methods (2019)
Keywords: infrastructure; institutions and growth; sub-Saharan Africa; principal components; threshold regression model; first-differenced General Method of Moments

Testing of a Structures Covariance Matrix for Three-Level Repeated Measures Data,
Anuradha Roy and Ricardo Leiva, from College of Business, University of Texas at San Antonio (2008)
Keywords: Kronecker product covariance structure, maximum likelihood estimates, equicorrelated partitioned matrix, three-level multivariate data.

An Extension of the Traditional Classi cation Rules: the Case of Non-Random Samples,
Anuradha Roy and Ricardo Leiva, from College of Business, University of Texas at San Antonio (2008)
Keywords: Classi cation rules; Non-random samples; Jointly equicorrelated training vectors

The Poisson random effect model for experience ratemaking: Limitations and alternative solutions,
Woojoo Lee, Jeonghwan Kim and Jae Youn Ahn, in Insurance: Mathematics and Economics (2020)
Keywords: Poisson random-effect model; Claim frequency; Dependence; Experience ratemaking; Negative binomial distribution;

Double-counting problem of the bonus–malus system,
Rosy Oh, Kyung Suk Lee, Sojung C. Park and Jae Youn Ahn, in Insurance: Mathematics and Economics (2020)
Keywords: Bonus–malus system; Ratemaking; Double counting; Optimization; Auto insurance;

On the ordering of credibility factors,
Jae Youn Ahn, Himchan Jeong and Yang Lu, in Insurance: Mathematics and Economics (2021)
Keywords: Dependence; Posterior ratemaking; Credibility; Auto insurance; Time series; Dynamic random effects;

Exact Distribution Theory in Structural Estimation with an Identity,
Peter Phillips, from Cowles Foundation for Research in Economics, Yale University (2007)
Keywords: Exact distribution, Identity, IV estimation, LIML, Structural equation, Uniform asymptotic expansion

A Remark on Bimodality and Weak Instrumentation in Structural Equation Estimation,
Peter Phillips, from Cowles Foundation for Research in Economics, Yale University (2005)
Keywords: Attraction, Bimodality, Concentration parameter, Identity, Inverse normal, Point of compression, Structural Equation, Weak instrumentation

Inference in Partially Identified Heteroskedastic Simultaneous Equations Models,
Helmut Lütkepohl, George Milunivich and Minxian Yang, from DIW Berlin, German Institute for Economic Research (2016)
Keywords: Heteroskedasticity, simultaneous equations models, testing for identification, Davies' problem

The Properties of Procedures Dealing with Uncertainty about Intercept and Deterministic Trend in Unit Root Testing,
R Scott Hacker and Abdulnasser Hatemi-J, from Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies (2010)
Keywords: Unit Roots; Deterministic Components; Model Selection

Measuring Income-Related Health Inequalities in Sweden,
Ulf-G. Gerdtham and Gun Sundberg, from Stockholm School of Economics (1996)
Keywords: Equity; distribution; inequalities; health

Tournaments with prize-setting agents,
Kristoffer W. Eriksen, Ola Kvaløy and Trond Olsen, from Norwegian School of Economics, Department of Business and Management Science (2008)
Keywords: Rank-order tournament; prize spread; ability-difference

Exact Small Sample Properties of the Instrumental Variable Estimator. A View From a Different Angle,
Halvor Mehlum, from Oslo University, Department of Economics (2004)
Keywords: Instrument; variable; estimator

A polar confidence curve applied to Fieller’s ratios,
Halvor Mehlum, from Oslo University, Department of Economics (2017)
Keywords: Confidence curve; Fieller solution; test

A Poisson Ridge Regression Estimator,
Kristofer Månsson and Ghazi Shukur, from HUI Research (2010)
Keywords: Poisson regression; maximum likelihood; ridge regression; MSE; Monte Carlo simulations; Multicollinearity

Modified Ridge Parameters for Seemingly Unrelated Regression Model,
Zangin Zeebari, Ghazi Shukur and B. M. Golam Kibria, from HUI Research (2010)
Keywords: Multicollinearity; modified SUR ridge regression; Monte Carlo simulations; TMSE

A New Asymmetric Interaction Ridge (AIR) Regression Method,
Kristofer Månsson, Ghazi Shukur and Pär Sjölander, from HUI Research (2012)
Keywords: OLS; multicollinearity; regression analysis

Graphical Interpretations of Rank Conditions For Identification of Linear Gaussian Models,
Nikolay Arefiev, from National Research University Higher School of Economics (2016)
Keywords: graphical models, identi cation, rank condition

Understanding Post-War Changes in U.S. Household Production: A Full-Income Demand-System Perspective,
Wallace Huffman, from Iowa State University, Department of Economics (2006)
Keywords: complete-demand system; household production; housework; price elasticities; income elasticities; post-World War II

Estimating Demand Systems when Outcomes Are Correlated Count,
Joseph Herriges, Daniel Phaneuf and Justin Tobias, from Iowa State University, Department of Economics (2008)
Keywords: recreation demand; Demand systems; counts; Bayesian analysis

Bayesian Model Averaging in the Instrumental Variable Regression Model*,
Gary Koop, Roberto Leon-Gonzalez and Rodney Strachan, from University of Strathclyde Business School, Department of Economics (2011)
Keywords: Bayesian, endogeneity, simultaneous equations, reversible jump Markov chain Monte Carlo.

On the Bimodality of the Exact Distribution of the TSLS Estimator,
Giovanni Forchini, from Monash University, Department of Econometrics and Business Statistics (2005)
Keywords: Bimodality, Identification, Structural equation, Two Stage Least Squares.

Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments,
Joshua Angrist and Alan Krueger, from Princeton University, Department of Economics, Industrial Relations Section. (2001)
Keywords: instrumental variables, natural experiment

Outlier Detection and Editing Procedures for Continuous Multivariate Data,
Bonnie Ghosh-Dastider and J. Schafer, from Princeton University, Woodrow Wilson School of Public and International Affairs, Office of Population Research. (2003)
Keywords: Contaminated normal; EM algorithm; outliers; posterior probability

The non-parametric identification of the mixed proportional hazards competing risks model,
Jaap H. Abbring and Gerard J. van den Berg, from VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics (2000)
Keywords: competing risks; mixed proportional hazard; non-parametric identification; frailty; duration model; multiple spells.

GMM Based Inference with Standard Stratified Samples when the Aggregate Shares are Known,
Gautam Tripathi, from University of Connecticut, Department of Economics (2009)
Keywords: Generalized method of moments, GMM, standard stratified sampling.

Inference in Partially Identified Heteroskedastic Simultaneous Equations Models,
Helmut Lütkepohl, George Milunovich and Minxian Yang, from School of Economics, The University of New South Wales (2016)
Keywords: Heteroskedasticity, simultaneous equations models, testing for identification, Davies' problem

On Estimating Multiple Treatment Effects with Regression,
Paul Goldsmith-Pinkham, Peter Hull and Michal Kolesár, from Princeton University. Economics Department. (2021)
Keywords: regressions, treatment effect

Are Nearly “Exogenous Instruments” Reliable?,
Daniel Berkowitz, Mehmet Caner and Ying Fang, from Wang Yanan Institute for Studies in Economics (WISE), Xiamen University (2013)
Keywords: Valid Instruments, Weak Identification, Inference.