Estimation of partially specified spatial panel data models with fixed-effects
Sign Up to like & getrecommendations! Published in 2017 at "Econometric Reviews"
DOI: 10.1080/07474938.2015.1113641
Abstract: ABSTRACT This article extends the spatial panel data regression with fixed-effects to the case where the regression function is partially linear and some regressors may be endogenous or predetermined. Under the assumption that the spatial… read more here.
Keywords: panel data; partially specified; estimation partially; fixed effects ... See more keywords
Identifiability and Estimation of Partially Observed Influence Models
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DOI: 10.1109/lcsys.2022.3184958
Abstract: The influence model (IM) is a discrete-time stochastic model that captures the spatiotemporal dynamics of networked Markov chains. Partially-observed IM (POIM) is an IM in which the statuses for some sites are unobserved. Identifiability and… read more here.
Keywords: estimation partially; influence; estimation; identifiability estimation ... See more keywords
Factorized Estimation of Partially Shared Parameters in Diffusion Networks
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DOI: 10.1109/tsp.2017.2725226
Abstract: Collaborative estimation of partially common parameters over ad hoc diffusion networks where the nodes directly communicate with their neighbors is a challenging task. The problem complexity is significantly high under the lack of knowledge which… read more here.
Keywords: estimation; factorized estimation; shared parameters; estimation partially ... See more keywords
>Efficient Estimation of Partially Linear Models for Data on Complicated Domains by Bivariate Penalized Splines over Triangulations
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DOI: 10.5705/ss.202017.0243
Abstract: In this paper, we study the estimation of partially linear models for spatial data distributed over complex domains. We use bivariate splines over triangulations to represent the nonparametric component on an irregular two-dimensional domain. The… read more here.
Keywords: splines triangulations; estimation partially; efficient estimation; linear models ... See more keywords