Estimation of a model using measurement data requires selection of a model structure (such as state-space or transfer function) and its order (e.g., number of poles and zeros) in advance. This choice is influenced by prior knowledge about the system being modeled, but can also be mo...
The generative model's dependency structure directly affects the quality of the estimated labels, but selecting a structure automatically without any labeled data is a distinct challenge. We propose a structure estimation method that maximizes the \ell_1 \ell_1 -regularized marginal pseudolikelihood ...
A new class of variable-structure (VS) algorithms for multiple-model (MM) estimation is presented, referred to as expected-mode augmentation (EMA). In the EMA approach, the original set of models is augmented by a variable set of models intended to match the expected value of the unknown ...
Likewise, influence estimation techniques10 often produce a ranked list of samples. These tend to be most useful to understand issues retrospectively, after they have been identified. In comparison, global data visualizations such as tSNE11 and UMAP12,13 offer the power to inspect the global space...
The sparse structure estimation is based on the detection of corner features in the environment. From a single known starting position, the system can move into an unknown environment. The vision and inertial data are fused, and the performance of both Unscented Kalman filter and Extended Kalman ...
Multiple-model estimation with variable structure- part VI: expected-mode augmentation A new class of variable-structure (VS) algorithms for multiple-model (MM) estimation is presented, referred to as expected-mode augmentation (EMA). In the ... Rong Li X.,Jilkov V.P.,Ru J. - 《IEEE Tr...
Peak value estimation for wind-induced lateral accelerations in a high-rise buildingRizzo, Fabio; Huang, Mingfeng20222022, vol.18, no.7/9 Influence of wind yaw angle and pylon interference on the buffeting responses of cable-stayed bridges during constructionJian, Bin; Li, Ming; Li, Mingshui...
Bai and Li (2014) consider a homogeneous spatial panel data model with common shocks, and develop the quasi maximum likelihood (QML) estimation. Using a similar model structure, Yang (2021) develops consistent estimators that combine CCE and instrumental variable (IV)/generalised method of moments...
The performance of quantile model selection probl... S Pande - 《Water Resources Research》 被引量: 20发表: 2013年 New efficient estimation and variable selection in models with single-index structure We propose a new efficient root-n consistent estimate for the direction of the index parameter ...
Quantitative estimation of temperature conditions for illite crystallinity: comparison to vitrinite reflectance from the Chichibu and Shimanto accretionary complexes, eastern Kyushu, Southwest Japan[J]. Bulletin of the Geological Survey of Japan, 58(1-2): 23-31. doi: 10.9795/bullgsj.58.23 CrossRef ...