Mendelian randomization using semiparametric linear transformation models.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8449
Abstract: Mendelian randomization (MR) uses genetic information as an instrumental variable (IV) to estimate the causal effect of an exposure of interest on an outcome in the presence of unknown confounding. We are interested in the… read more here.
Keywords: using semiparametric; semiparametric linear; linear transformation; mendelian randomization ... See more keywords
Semiparametric linear transformation models for indirectly observed outcomes.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.8903
Abstract: We propose a regression framework to analyze outcomes that are indirectly observed via one or multiple proxies. Semiparametric transformation models, including Cox proportional hazards regression, turn out to be well suited to model the association… read more here.
Keywords: indirectly observed; semiparametric linear; linear transformation; multiple proxies ... See more keywords
Development of video compression using EWNS linear transformation and un-repetition simulated contrary based resurgence procedure
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6008-3
Abstract: In the recent years, video transmission area endures several failures owing to the limited amount of a cutting edge technique to store large sized videos. For this reason, video compression method is used. For compression… read more here.
Keywords: video; compression; video compression; linear transformation ... See more keywords
Secure Sampling and Low-Overhead Compressive Analysis by Linear Transformation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3101019
Abstract: Compressed sensing (CS) is attractive in wireless multimedia sensor networks (WMSNs) because it achieves sampling-compression and confidentiality protection simultaneously. Moreover, applications in WMSNs emphasize the requirement to process real-time data rapidly. However, the reconstruction of… read more here.
Keywords: overhead compressive; compressive analysis; low overhead; transformation ... See more keywords
BNET: Batch Normalization With Enhanced Linear Transformation.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3235369
Abstract: Batch normalization (BN) is a fundamental unit in modern deep neural networks. However, BN and its variants focus on normalization statistics but neglect the recovery step that uses linear transformation to improve the capacity of… read more here.
Keywords: normalization; batch normalization; bnet; linear transformation ... See more keywords
Linear Transformation of Electromagnetic Waves in Large-Scale Axially Symmetric Trap
Sign Up to like & getrecommendations! Published in 2020 at "Plasma Physics Reports"
DOI: 10.1134/s1063780x20100062
Abstract: The results are presented from studies of the efficiency of the quasi-optical wave beam tunneling through the opacity region in the vicinity of the plasma cutoff surface in the inhomogeneous magnetoactive plasma in the geometry… read more here.
Keywords: large scale; linear transformation; axially symmetric; transformation ... See more keywords
Symplectic geometry of a linear transformation with a quadratic invariant
Sign Up to like & getrecommendations! Published in 2017 at "Doklady Mathematics"
DOI: 10.1134/s1064562417060254
Abstract: A linear transformation with an invariant being a nondegenerate quadratic form is symplectic. The geometric properties of such transformations are discussed. A complete set of quadratic invariants which are pairwise in involution is explicitly specified.… read more here.
Keywords: symplectic geometry; linear transformation; transformation quadratic; geometry ... See more keywords
Sieve estimation of a class of partially linear transformation models with interval-censored competing risks data.
Sign Up to like & getrecommendations! Published in 2023 at "Statistica Sinica"
DOI: 10.5705/ss.202021.0051
Abstract: In this paper, we consider a class of partially linear transformation models with interval-censored competing risks data. Under a semiparametric generalized odds rate specification for the cause-specific cumulative incidence function, we obtain optimal estimators of… read more here.
Keywords: class partially; linear transformation; interval censored; transformation models ... See more keywords