Results 81 to 90 of about 732,139 (286)
"Mixed Effects Prediction under Benchmarking and Applications to Small Area Estimation" [PDF]
The empirical best linear unbiased predictor (EBLUP) in the linear mixed model (LMM) is useful for the small area estimation in the sense of increasing the precision of estimation of small area means.
Tatsuya Kubokawa
core
Injection-Constrained State Estimation [PDF]
Journal of Guidance, Control, and Dynamics, 2022 Ankit Goel, Dennis S. Bernstein
openaire +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
CONSTRAINED EMM AND INDIRECT INFERENCE ESTIMATION [PDF]
We develop generalised indirect inference procedures that handle equality and inequality constraints on the auxiliary model parameters. We obtain expressions for the optimal weighting matrices, and discuss as examples an MA(1) estimated as AR(1), an AR(1)
Enrique Sentana +2 more
core
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
Online motion smoothing for video stabilization via constrained multiple-model estimation
EURASIP Journal on Image and Video Processing, 2017 Video stabilization smooths camera motion estimates in a way that should adapt to different types of intentional motion. Corrective motion (the difference between smoothed and original motions) should be constrained so that black borders do not intrude ...
Chao Jia, Brian L. Evans
doaj +1 more source
Asymptotic Convergence of Soft-Constrained Neural Networks for Density Estimation
Mathematics, 2020 A soft-constrained neural network for density estimation (SC-NN-4pdf) has recently been introduced to tackle the issues arising from the application of neural networks to density estimation problems (in particular, the satisfaction of the second ...
Edmondo Trentin
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Convex Relaxations of SE(2) and SE(3) for Visual Pose Estimation [PDF]
, 2014 This paper proposes a new method for rigid body pose estimation based on spectrahedral representations of the tautological orbitopes of $SE(2)$ and $SE(3)$.
Burdick, Joel W. +2 more
core +1 more source
Constrained estimation: Consistency and asymptotics [PDF]
Applied Stochastic Models and Data Analysis, 1991 AbstractWe review some of the recent results obtained for constrained estimation, involving possibly non‐differentiable criterion functions. New tools are required to push consistency and asymptotic results beyond those that can be reached by classical means.
openaire +2 more sources