Results 31 to 40 of about 617,695 (198)
Polar Region Integrated Navigation Method Based on Covariance Transformation
Applied Sciences, 2021 Aircraft flying the trans-arctic routes usually apply inertial navigation mechanization in two different navigation frames, e.g., the local geographic frame and the grid frame.
Yongjian Zhang +3 more
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Energies, 2017 (1) Background: The present paper aims at estimating the quality of the forecasts obtained by using one equation models. In particular, the focus is on the effect that the explanatory variables have on the forecasted quantity.
Federico Scarpa, Vincenzo Bianco
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Facilitating Inversion of the Error Covariance Models for the Wide-Swath Altimeters
Remote Sensing, 2020 Wide-swath satellite altimeter observations are contaminated by errors caused by the uncertainties in the geometry and orientation of the on-board interferometer.
Max Yaremchuk +2 more
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Estimating correlated observation error statistics using an ensemble transform Kalman filter [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2014 For certain observing types, such as those that are remotely sensed, the observation errors are correlated and these correlations are state- and time-dependent.
Joanne A. Waller +3 more
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Rank deficiency of Kalman error covariance matrices in linear time-varying system with deterministic evolution [PDF]
, 2016 We prove that for-linear, discrete, time-varying, deterministic system (perfect-model) with noisy outputs, the Riccati transformation in the Kalman filter asymptotically bounds the rank of the forecast and the analysis error covariance matrices to be ...
Alberto Carrassi +11 more
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Large Covariance Estimation by Thresholding Principal Orthogonal Complements [PDF]
, 2013 This paper deals with the estimation of a high-dimensional covariance with a conditional sparsity structure and fast-diverging eigenvalues. By assuming sparse error covariance matrix in an approximate factor model, we allow for the presence of some cross-
Fan, Jianqing +2 more
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Logistic regression error‐in‐covariate models for longitudinal high‐dimensional covariates
Stat, 2019 We consider a logistic regression model for a binary response where part of its covariates are subject‐specific random intercepts and slopes from a large number of longitudinal covariates. These random effect covariates must be estimated from the observed data, and therefore, the model essentially involves errors in covariates.
Hyung Park, Seonjoo Lee
openaire +3 more sources
An Adaptive Fusion Attitude and Heading Measurement Method of MEMS/GNSS Based on Covariance Matching
Micromachines, 2022 Aimed at the problem of filter divergence caused by unknown noise statistical characteristics or variable noise characteristics in an MEMS/GNSS integrated navigation system in a dynamic environment, on the basis of revealing the parameter adjustment ...
Wei Sun, Peilun Sun, Jiaji Wu
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Shrinkage Estimation of the Power Spectrum Covariance Matrix [PDF]
, 2008 We seek to improve estimates of the power spectrum covariance matrix from a limited number of simulations by employing a novel statistical technique known as shrinkage estimation.
Adrian C. Pope +14 more
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Atmosphere, 2020 An efficient regional hybrid ensemble-variational (EnVar) data assimilation method using the global-ensemble-model-augmented error covariance is proposed and preliminarily tested in this study. This method uses the global ensemble error covariance as the
Yuanbing Wang +2 more
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