Results 271 to 280 of about 2,032,232 (300)

Prediction in Some Poisson Errors in Variables Models

Scandinavian Journal of Statistics, 1997
Predictive distributions are developed and illustrated for prediction in some Poisson errors in variables models. Two different situations in which multiplicative treatment effects are appropriate are considered within the context of predicting counts of road accidents. Hierarchical prior structures are investigated, and numerical integration and Gibbs
Dunsmore, Ian R., Robson, David J.
openaire   +2 more sources

Errors-in-variables modeling in optical flow estimation

IEEE Transactions on Image Processing, 2001
Gradient-based optical flow estimation methods typically do not take into account errors in the spatial derivative estimates. The presence of these errors causes an errors-in-variables (EIV) problem. Moreover, the use of finite difference methods to calculate these derivatives ensures that the errors are strongly correlated between pixels.
Lydia Ng, Victor Solo
openaire   +2 more sources

Estimation of errors-in-variables models

Proceedings of the 27th IEEE Conference on Decision and Control, 2003
The so-called errors-in-variables models pose serious problems to traditional statistical estimation because the Gaussian likelihood function, defined by the natural quadratic error measure, has a saddle point rather than a maximum. A discussion is presented of the estimation of such models, including the number of linear relations in them, based on ...
openaire   +1 more source

Identification of Scalar Errors-in-Variables Models with Dynamics

IFAC Proceedings Volumes, 1985
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

A Semi‐parametric Regression Model with Errors in Variables

Scandinavian Journal of Statistics, 2003
Abstract.  In this paper, we consider a partial linear regression model with measurement errors in possibly all the variables. We use a method of moments and deconvolution to construct a new class of parametric estimators together with a non‐parametric kernel estimator.
Zhu, L, Cui, H
openaire   +3 more sources

Freeform surface topography model for ultraprecision turning under the influence of various errors

Journal of Manufacturing Processes, 2021
Shuai He, Jianping Xuan, Qi Xia
exaly  

A hybrid driven approach to integrate surrogate model and Bayesian framework for the prediction of machining errors of thin-walled parts

International Journal of Mechanical Sciences, 2021
Yuwen Sun, Fangyu Peng
exaly  

Effective estimation of nonlinear errors-in-variables models

Communications in Statistics - Simulation and Computation, 2023
Zhensheng Huang, Shuyu Meng, Ziyi Ye
openaire   +1 more source

A simple and effective Measurement-Changes-Correction strategy for damage identification with aleatoric and epistemic model errors

Structural Health Monitoring, 2021
Zhong-Rong Lu, Gang Liu, Li Wang
exaly  

Accounting for model errors of rock physics models in 4D seismic history matching problems: A perspective of machine learning

Journal of Petroleum Science and Engineering, 2021
Xiaodong Luo, Rolf J Lorentzen, Tuhin Bhakta   +2 more
exaly