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Journal of Econometrics, ISSN 0304-4076, 12/2019, Volume 213, Issue 2, pp. 434 - 458
This paper develops a nondegenerate likelihood-ratio test for model selection between two competitive spatial econometrics models. It generalizes the test of... 
Likelihood ratio | Matrix exponential spatial specification | Spatial autoregressive model | Near-epoch dependence | Model selection | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | AUTOREGRESSIVE MODELS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | SPECIFICATION | Analysis | Econometric models | Models
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 1/2014, Volume 76, Issue 1, pp. 29 - 46
Journal Article
The Annals of Statistics, ISSN 0090-5364, 6/2013, Volume 41, Issue 3, pp. 1085 - 1110
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2014, Volume 109, Issue 507, pp. 991 - 1007
Journal Article
Journal Article
Engineering Applications of Artificial Intelligence, ISSN 0952-1976, 11/2017, Volume 66, pp. 49 - 59
Over the past few decades, a large literature has evolved to forecast time series using various linear, nonlinear and hybrid linear–nonlinear models. Recently,... 
Exponential smoothing | Time series forecasting | ANN | Hybrid model | ETS | DECOMPOSITION | STATE | OF-THE-ART | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | ENGINEERING, MULTIDISCIPLINARY | ARIMA | NEURAL-NETWORK | AUTOMATION & CONTROL SYSTEMS | Neural networks | Analysis | Models
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 02/2014, Volume 22, Issue 1, pp. 153 - 163
Journal Article
Journal of Statistical Mechanics: Theory and Experiment, ISSN 1742-5468, 2014, Volume 2014, Issue 5, pp. P05007 - 20
The proliferation of models for networks raises challenging problems of model selection: the data are sparse and globally dependent, and models are typically... 
EXPONENTIAL FAMILY | PROBABILITY-DISTRIBUTIONS | DIRECTED-GRAPHS | MECHANICS | clustering techniques | STOCHASTIC BLOCKMODELS | random graphs | statistical inference | networks | PHYSICS, MATHEMATICAL | message-passing algorithms | PREDICTION | Networks | Approximation | Communities | Blocking | Graphs | Mathematical models | Stochasticity | Standards
Journal Article
Social Networks, ISSN 0378-8733, 05/2013, Volume 35, Issue 2, pp. 211 - 222
In this paper, we review the development of dependence structures for exponential random graph models for bipartite networks, and propose a hierarchy of... 
Exponential random graph models | Bipartite networks | Edge-cycles | Dependence hierarchy | P-ASTERISK MODELS | ANTHROPOLOGY | SOCIOLOGY
Journal Article
Annual Review of Sociology, ISSN 0360-0572, 1/2011, Volume 37, Issue 1, pp. 131 - 153
Journal Article
1998, Lecture notes in statistics, ISBN 9813083298, Volume 130, ix, 230
Book
Social Networks, ISSN 0378-8733, 2009, Volume 31, Issue 1, pp. 12 - 25
Recent advances in Exponential Random Graph Models (ERGMs), or models, include new specifications that give a much better chance of model convergence for large... 
MCMC MLE | Partial conditional dependence assumption | Exponential random graph ( [formula omitted]) models | Affiliation networks | Exponential random graph (p ) models | LOGIT-MODELS | Exponential random graph (p) models | LOGISTIC REGRESSIONS | SOCIAL NETWORKS | ANTHROPOLOGY | MARKOV GRAPHS | FAMILY MODELS | SOCIOLOGY | Markov processes | Analysis | Models
Journal Article