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  • Search: subject:"Complete bipartite graph"
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Year of publication
Subject
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complete bipartite graph 4 group interaction 3 maximum likelihood estimation 3 networks 3 spatial autoregression 3 Autocorrelation 2 Autokorrelation 2 Estimation theory 2 Maximum likelihood estimation 2 Maximum-Likelihood-Schätzung 2 Regional economics 2 Regionalökonomik 2 Räumliche Interaktion 2 Schätztheorie 2 Spatial interaction 2 Bottleneck 1 Complete bipartite graph 1 Computer network 1 Computernetz 1 Engpass 1 Graph theory 1 Graphentheorie 1 Group interaction 1 Saddlepoint 1 Social network 1 Social networks 1 Soziales Netzwerk 1 Spatial autoregression 1 Traffic congestion 1 Verkehrsstau 1 congestion 1 cylinder 1 edge isoperimetric problem 1 embedding 1 grid 1
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Online availability
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Free 3 Undetermined 1
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 4 Undetermined 1
Author
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Martellosio, Federico 4 Hillier, Grant 2 Hillier, Grant H. 2 Greeni, A. Berin 1 Rajasingh, Indra 1
Institution
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Centre for Microdata Methods and Practice (CEMMAP) 1
Published in...
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CEMMAP working papers / Centre for Microdata Methods and Practice 1 CeMMAP working papers 1 International journal of networking and virtual organisations : IJNVO 1 Journal of econometrics 1 cemmap working paper 1
Source
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ECONIS (ZBW) 3 EconStor 1 RePEc 1
Showing 1 - 5 of 5
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Properties of the maximum likelihood estimator in spatial autoregressive models
Hillier, Grant; Martellosio, Federico - 2013
The (quasi-) maximum likelihood estimator (MLE) for the autoregressive parameter in a spatial autoregressive model cannot in general be written explicitly in terms of the data. The only known properties of the estimator have hitherto been its first-order asymptotic properties (Lee, 2004,...
Persistent link: https://www.econbiz.de/10010368228
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Properties of the maximum likelihood estimator in spacial autoregressive models
Hillier, Grant; Martellosio, Federico - Centre for Microdata Methods and Practice (CEMMAP) - 2013
The (quasi-) maximum likelihood estimator (MLE) for the autoregressive parameter in a spatial autoregressive model cannot in general be written explicitly in terms of the data. The only known properties of the estimator have hitherto been its first-order asymptotic properties (Lee, 2004,...
Persistent link: https://www.econbiz.de/10010827538
Saved in:
Cover Image
Properties of the maximum likelihood estimator in spatial autoregressive models
Hillier, Grant H.; Martellosio, Federico - 2013
The (quasi-) maximum likelihood estimator (MLE) for the autoregressive parameter in a spatial autoregressive model cannot in general be written explicitly in terms of the data. The only known properties of the estimator have hitherto been its first-order asymptotic properties (Lee, 2004,...
Persistent link: https://www.econbiz.de/10010126876
Saved in:
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Exact and higher-order properties of the MLE in spatial autoregressive models, with applications to inference
Hillier, Grant H.; Martellosio, Federico - In: Journal of econometrics 205 (2018) 2, pp. 402-422
Persistent link: https://www.econbiz.de/10012110309
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Embedding complete bipartite graph into grid with optimum congestion and wirelength
Greeni, A. Berin; Rajasingh, Indra - In: International journal of networking and virtual … 17 (2017) 1, pp. 64-75
Persistent link: https://www.econbiz.de/10011774807
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