Articles with "structural inference" as a keyword



Photo from archive.org

Structural inference from reduced forms with many instruments

Sign Up to like & get
recommendations!
Published in 2017 at "Journal of Econometrics"

DOI: 10.1016/j.jeconom.2017.05.003

Abstract: This paper develops exact finite sample and asymptotic distributions for structural equation tests based on partially restricted reduced form estimates. Particular attention is given to models with large numbers of instruments, wherein the use of… read more here.

Keywords: many instruments; reduced forms; forms many; structural inference ... See more keywords
Photo by npi from unsplash

Structural inference in sparse high-dimensional vector autoregressions

Sign Up to like & get
recommendations!
Published in 2022 at "Journal of Econometrics"

DOI: 10.1016/j.jeconom.2022.01.003

Abstract: We consider statistical inference for impulse responses in sparse, structural high-dimensional vector autoregressive (SVAR) systems. We introduce consistent estimators of impulse responses in the high-dimensional setting and suggest valid inference procedures for the same parameters.… read more here.

Keywords: structural inference; inference; dimensional vector; impulse responses ... See more keywords
Photo from wikipedia

Fast scene labeling via structural inference

Sign Up to like & get
recommendations!
Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.12.134

Abstract: Abstract Scene labeling or parsing aims to assign pixelwise semantic labels for an input image. Existing CNN-based models cannot leverage the label dependencies, while RNN-based models predict labels within the local context. In this paper,… read more here.

Keywords: based models; scene; structural inference; scene labeling ... See more keywords
Photo from wikipedia

Structural Inference of Networked Dynamical Systems with Universal Differential Equations

Sign Up to like & get
recommendations!
Published in 2022 at "Chaos"

DOI: 10.1063/5.0109093

Abstract: Networked dynamical systems are common throughout science in engineering; e.g., biological networks, reaction networks, power systems, and the like. For many such systems, nonlinearity drives populations of identical (or near-identical) units to exhibit a wide… read more here.

Keywords: structural inference; physics; universal differential; networked dynamical ... See more keywords