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Cavieres J, Ibacache-Pulgar G, Contreras-Reyes JE. Thin plate spline model under skew-normal random errors: estimation and diagnostic analysis for spatial data. J STAT COMPUT SIM 2022. [DOI: 10.1080/00949655.2022.2090564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Joaquin Cavieres
- Instituto de Estadística, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile
| | - German Ibacache-Pulgar
- Instituto de Estadística, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile
- Centro Interdisciplinario de Estudios Atmosféricos y Astroestadística, Universidad de Valparaíso, Valparaíso, Chile
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Abstract
The software for spatial econometrics available in the R system for statistical computing is reviewed. The methods are illustrated in a historical perspective, highlighting the main lines of development and employing historically relevant datasets in the examples. Estimators and tests for spatial cross-sectional and panel models based either on maximum likelihood or on generalized moments methods are presented. The paper is concluded reviewing some current active lines of research in spatial econometric software methods.
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Lebacher M, Thurner PW, Kauermann G. Censored regression for modelling small arms trade volumes and its ‘Forensic’ use for exploring unreported trades. J R Stat Soc Ser C Appl Stat 2021. [DOI: 10.1111/rssc.12491] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Michael Lebacher
- Department of Statistics Ludwig‐Maximilians Universität München Munich Germany
| | - Paul W. Thurner
- Department of Political Science Ludwig‐Maximilians Universität München Munich Germany
| | - Göran Kauermann
- Department of Statistics Ludwig‐Maximilians Universität München Munich Germany
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IPW-based robust estimation of the SAR model with missing data. Stat Probab Lett 2021. [DOI: 10.1016/j.spl.2021.109065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Benedetti R, Suesse T, Piersimoni F. Spatial auto‐correlation and auto‐regressive models estimation from sample survey data. Biom J 2020; 62:1494-1507. [DOI: 10.1002/bimj.201800225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Revised: 09/27/2019] [Accepted: 01/23/2020] [Indexed: 11/10/2022]
Affiliation(s)
- Roberto Benedetti
- Department of Economic Studies (DEc) “G. d'Annunzio” University Pescara Italy
| | - Thomas Suesse
- National Institute of Applied Statistics Reseearch Australia School of Mathematics and Applied Statistics, University of Wollongong Wollongong NSW 2522 Australia
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Suesse T, Zammit‐Mangion A. Marginal maximum likelihood estimation of conditional autoregressive models with missing data. Stat (Int Stat Inst) 2019. [DOI: 10.1002/sta4.226] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Thomas Suesse
- National Institute for Applied Statistics Research Australia, School of Mathematics and Applied Statistics University of Wollongong Wollongong NSW 2522 Australia
| | - Andrew Zammit‐Mangion
- National Institute for Applied Statistics Research Australia, School of Mathematics and Applied Statistics University of Wollongong Wollongong NSW 2522 Australia
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