Results 41 to 50 of about 143,775 (287)
GMM with Nearly-Weak Identification [PDF]
Econometrics and StatisticsA unified framework for the asymptotic distributional theory of GMM with nearly-weak instruments is provided. It generalizes a previously proposed framework in two main directions: first, by allowing instruments’ weakness to be less severe in the sense that some GMM estimators remain consistent, while featuring low precision; and second, by relaxing ...
Bertille Antoine, Eric Renault
openaire +1 more source
Detecting Lack of Identification in GMM [PDF]
International Finance Discussion Papers, 2000 In the standard linear instrumental variables regression model, it must be assumed that the instruments are correlated with the endogenous variables in order to ensure the consistency and asymptotic normality of the usual instrumental variables estimator.
openaire +2 more sources
Real Time Recognition Of Speakers From Internet Audio Stream
Foundations of Computing and Decision Sciences, 2015 In this paper we present an automatic speaker recognition technique with the use of the Internet radio lossy (encoded) speech signal streams. We show an influence of the audio encoder (e.g., bitrate) on the speaker model quality.
Weychan Radoslaw +3 more
doaj +1 more source
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
, 2017 Gaussian mixture models (GMM) are powerful parametric tools with many applications in machine learning and computer vision. Expectation maximization (EM) is the most popular algorithm for estimating the GMM parameters.
Hoffmann, Heiko +2 more
core +1 more source
Advanced Functional Materials, EarlyView.This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner +9 more
wiley +1 more source
Symmetrically normalized instrumental-variable estimation using panel data [PDF]
, 1996 In this paper we discuss the estimation of panel data models with sequential moment restrictions using symmetrically normalized GMM estimators. These estimators are asymptotically equivalent to standard GMM but are invariant to normalization and tend to ...
Alonso-Borrego, César +1 more
core +1 more source
Optimal Decision Rules for Weak GMM
Econometrica, 2022 This paper studies optimal decision rules, including estimators and tests, for weakly identified GMM models. We derive the limit experiment for weakly identified GMM, and propose a theoretically‐motivated class of priors which give rise to quasi‐Bayes decision rules as a limiting case.
Andrews, Isaiah, Mikusheva, Anna
openaire +3 more sources
Advanced Functional Materials, EarlyView.In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Gut microbial metabolite functional screening platform
生物医学转化, 2022 Human gut microbial metabolites are closely related to the physiological functions of the human body, and the exploration of the functions of these small molecules is an ongoing topic for researchers. With the development of metagenomics and metabolomics,
Li Zhunduo, Sun Hui
doaj +1 more source
Advanced Materials, Volume 37, Issue 13, April 2, 2025.Metal‐covalent organic frameworks (MCOFs) are novel porous materials that exhibit the advantages of covalent and metal‐organic frameworks. However, it is extremely difficult to resolve their atomic structure and better understand their structure‐properties relation. This work utilizes a synergistic combination of advanced microscopy, spectroscopic, and
Seán Hennessey +11 more
wiley +1 more source