Results 51 to 60 of about 19,234 (259)
Wavelet Estimation of Semi-parametric Regression Model
The semi-parametric regression model combines parametric and nonparametric regression. However, non-parametric estimation may provide flexible solutions to the problems suffers by the regression model, but the problem of dimensionality that this estimator suffers, which occurs due to the increasing number of explanatory variables, still remain, this ...
Ahmed Shaker Mohammed Tahir +1 more
openaire +1 more source
Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults
ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas +7 more
wiley +1 more source
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
Wavelet-Based and Fourier-Based Multivariate Whittle Estimation: multiwave
Multivariate time series with long-dependence are observed in many applications such as finance, geophysics or neuroscience. Many packages provide estimation tools for univariate settings but few are addressing the problem of long-dependence estimation ...
Sophie Achard, Irène Gannaz
doaj +1 more source
Empirical likelihood inference in autoregressive models with time-varying variances
This paper develops the empirical likelihood ( $ \mathrm {EL} $ ) inference procedure for parameters in autoregressive models with the error variances scaled by an unknown nonparametric time-varying function.
Yu Han, Chunming Zhang
doaj +1 more source
Semi-Parametric Differential Expression Analysis via Partial Mixture Estimation [PDF]
We develop an approach for microarray differential expression analysis, i.e. identifying genes whose expression levels differ between two or more groups. Current approaches to inference rely either on full parametric assumptions or on permutation-based techniques for sampling under the null distribution.
David, Rossell +2 more
openaire +2 more sources
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy +9 more
wiley +1 more source
Improvements in the Estimation of a Heavy Tail
In this paper, and in a context of regularly varying tails, we suggest new tail index estimators, which provide interesting alternatives to the classical Hill estimator of the tail index γ.
Orlando Oliveira +2 more
doaj +1 more source
Estimation and validation of semi-parametric dynamic nonlinear models [PDF]
Abstract An approach for measurement based modelling of non linear devices is proposed that extends the mixture of parametric models and nonparametric verification, that is common for LTI systems, to a class of nonlinear systems. The applicability of the method is illustrated on the baseband modelling of an radio-frequency amplifier over a wide power
Rolain, Yves +2 more
openaire +2 more sources
Estimating a semi-parametric duration model without specifying heterogeneity [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jerry Hausman, Tiemen M. Woutersen
openaire +6 more sources

