A new iterative algorithm for a rank-deficient adjustment model with inequality constraints
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Geodesy"
DOI: 10.1007/s00190-019-01324-z
Abstract: This paper is concerned with the rank-deficient problem of least squares adjustment models with inequality constraints. First, the problem under study is transformed into a linear complementarity problem (LCP) with a P0-matrix (P0-LCP), which is… read more here.
Keywords: adjustment; rank deficient; algorithm; inequality constraints ... See more keywords
Quantifying the spatial resolution of the maximum a posteriori estimate in linear, rank-deficient, Bayesian hard field tomography
Sign Up to like & getrecommendations! Published in 2021 at "Measurement Science and Technology"
DOI: 10.26083/tuprints-00019337
Abstract: Image based diagnostics are interpreted in the context of spatial resolution. The same is true for tomographic image reconstruction. Current empirically driven approaches to quantify spatial resolution in chemical species tomography rely on a deterministic… read more here.
Keywords: rank deficient; resolution; tomography; spatial resolution ... See more keywords
Asymptotic Theory for Cointegration Analysis When the Cointegration Rank Is Deficient
Sign Up to like & getrecommendations! Published in 2019 at "Econometrics"
DOI: 10.3390/econometrics7010006
Abstract: We consider cointegration tests in the situation where the cointegration rank is deficient. This situation is of interest in finite sample analysis and in relation to recent work on identification robust cointegration inference. We derive… read more here.
Keywords: rank deficient; cointegration rank; cointegration; asymptotic theory ... See more keywords