Results 31 to 40 of about 2,287,103 (299)

Practical Consequences of the Bias in the Laplace Approximation to Marginal Likelihood for Hierarchical Models

Entropy
Due to the high dimensional integration over latent variables, computing marginal likelihood and posterior distributions for the parameters of a general hierarchical model is a difficult task.
Subhash R. Lele, C. George Glen, José Miguel Ponciano   +2 more
doaj   +1 more source

Asymptotic normality and mean consistency of LS estimators in the errors-in-variables model with dependent errors

Open Mathematics, 2020
In this article, an errors-in-variables regression model in which the errors are negatively superadditive dependent (NSD) random variables is studied. First, the Marcinkiewicz-type strong law of large numbers for NSD random variables is established. Then,
Zhang Yu, Liu Xinsheng, Yu Yuncai, Hu Hongchang   +3 more
doaj   +1 more source

On errors-in-variables estimation with unknown noise variance ratio [PDF]

, 2006
We propose an estimation method for an errors-in-variables model with unknown input and output noise variances. The main assumption that allows identifiability of the model is clustering of the data into two clusters that are distinct in a certain ...
Kukush, A., Markovsky, Ivan, Van Huffel, S.   +2 more
core   +1 more source

Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model

, 2011
This paper develops a bias correction scheme for a multivariate heteroskedastic errors-in-variables model. The applicability of this model is justified in areas such as astrophysics, epidemiology and analytical chemistry, where the variables are subject ...
Alexandre G. Patriota, Artur J. Lemonte, DR Cox, GM Cordeiro, GM Cordeiro, GM Cordeiro, Heleno Bolfarine, JA Doornik, KLP Vasconcellos, M Castro de, MG Akritas, R. DevelopmentCore Team, RD Cook, SB Kulathinal, W Fuller   +14 more
core   +2 more sources

New $M$-estimators in semi-parametric regression with errors in variables [PDF]

, 2008
In the regression model with errors in variables, we observe $n$ i.i.d. copies of $(Y,Z)$ satisfying $Y=f_{\theta^0}(X)+\xi$ and $Z=X+\epsilon$ involving independent and unobserved random variables $X,\xi,\epsilon$ plus a regression function $f_{\theta^0}
Butucea, Cristina, Taupin, Marie-Luce
core   +5 more sources

The Case of the Homogeneous Errors-In-Variables Model

Journal of Geodetic Science, 2014
Recently, it has been claimed that the HomogeneousErrors-In-Variables (HEIV) Model, where the lefthandside (LHS) vector is allowed to be multiplied withan unknown scale factor, would represent a generalizationof the regular EIV-Model for which a number ...
Schaffrin B., Snow K.
doaj   +1 more source

A Non-Iterative Approach to Direct Data-Driven Control Design of MIMO LTI Systems

IEEE Access, 2023
This paper proposes a non-iterative direct data-driven technique that deals with linear time-invariant (LTI) controller design by directly identifying the controller from input-output data without using plant identification.
Mohammad Abuabiah, Vito Cerone, Simone Pirrera, Diego Regruto   +3 more
doaj   +1 more source

High-dimensional Linear Regression for Dependent Data with Applications to Nowcasting

, 2022
Recent research has focused on $\ell_1$ penalized least squares (Lasso) estimators for high-dimensional linear regressions in which the number of covariates $p$ is considerably larger than the sample size $n$.
Han, Yuefeng, Tsay, Ruey S.
core   +1 more source

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

Least squares regression with errors in both variables: case studies

Química Nova, 2013
Analytical curves are normally obtained from discrete data by least squares regression. The least squares regression of data involving significant error in both x and y values should not be implemented by ordinary least squares (OLS).
Elcio Cruz de Oliveira, Paula Fernandes de Aguiar   +1 more
doaj   +1 more source