Results 141 to 150 of about 7,257 (284)
Bayesian Inference for Multivariate Monotone Densities
Scandinavian Journal of Statistics, EarlyView.ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
MathematicsIn this paper, the statistical inference of the partially linear varying coefficient quantile regression model is studied under random missing responses.
Shuanghua Luo, Yuxin Yan, Cheng-yi Zhang
doaj +1 more source
Digital Phenotyping of Physical Activity and Mortality in Cancer Survivors
MedComm – Future Medicine, Volume 5, Issue 3, September 2026.The study analyzed wrist‐worn accelerometer data from 864 cancer survivors in the NHANES dataset (left panel). We identified three key digital phenotypes and their optimal thresholds for survival benefit: MIMS Volume (> 4945), Intensity (> 24), and Variability (> 2.4) (middle panel).
Yuanyou Li +5 more
wiley +1 more source
Parameter Estimation of the Partially Linear Quantile Regression Model Under Monotonic Constraints
Journal of MathematicsThe paper brings forward the partially linear quantile regression model by incorporating monotonic constraints, which are common in real-world relationships between variables.
Shujin Wu +3 more
doaj +1 more source
Non‐Elliptical Dimension Reduction in Survival Regression
Stat, Volume 15, Issue 3, September 2026.ABSTRACT Sufficient dimension reduction (SDR) in survival regression aims to identify low‐dimensional structures that preserve the relationship between survival time and predictors. Classical SDR methods, such as sliced inverse regression (SIR), rely on strong assumptions such as linearity, constant variance and coverage conditions, which are often ...
Minjee Kim, Minjeong Kim, Jae Keun Yoo
wiley +1 more source
Pointwise adaptive estimation for quantile regression [PDF]
A nonparametric procedure for quantile regression, or more generally nonparametric M-estimation, is proposed which is completely data-driven and adapts locally to the regularity of the regression function.
Yves Rozenholc +2 more
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Powerful nonparametric checks for quantile regression
, 2014 We address the issue of lack-of-fit testing for a parametric quantile regression. We propose a simple test that involves one-dimensional kernel smoothing, so that the rate at which it detects local alternatives is independent of the number of covariates.
Maistre, Samuel +2 more
openaire +2 more sources
Acta Anaesthesiologica Scandinavica, Volume 70, Issue 7, August 2026.ABSTRACT Background Delirium is a frequent complication in comatose Out‐of‐Hospital Cardiac Arrest (OHCA) survivors requiring postresuscitation intensive care and is associated with higher mortality and longer hospitalization. Despite this, there is no established pharmacologic strategy for delirium prevention in OHCA survivors.
Benedikte Liebetrau +12 more
wiley +1 more source
Small area estimation via m-quantile geographically weighted regression [PDF]
The effective use of spatial information, that is the geographic locations of population units, in a regression model-based approach to small area estimation is an important practical issue.
Tzavidis, N. +3 more
core