Results 51 to 60 of about 2,107,366 (284)
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
We report on the comprehensive numerical study of the fluctuation and correlation properties of wave functions in three-dimensional mesoscopic diffusive conductors.
Cerovski, Viktor Z. +1 more
core +1 more source
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Binary pulsar observations and gravitational wave detections seriously constrained scalar–tensor theories with massless scalar field allowing only small deviations from general relativity.
Kalin V. Staykov +3 more
doaj +1 more source
Bias of the Quasi Score Estimator of a Measurement Error Model Under Misspecification of the Regressor Distribution [PDF]
In a structural error model the structural quasi score (SQS) estimator is based on the distribution of the latent regressor variable. If this distribution is misspecified the SQS estimator is (asymptotically) biased.
Cheng, Chi-Lun, Schneeweiß, Hans
core +2 more sources
Small deviations of sums of independent random variables [PDF]
A well-known discovery of Feige's is the following: Let $X_1, \ldots, X_n$ be nonnegative independent random variables, with $\mathbb{E}[X_i] \leq 1 \;\forall i$, and let $X = \sum_{i=1}^n X_i$. Then for any $n$, \[\Pr[X < \mathbb{E}[X] + 1] \geq > 0,\] for some $ \geq 1/13$. This bound was later improved to $1/8$ by He, Zhang, and Zhang. By a
openaire +2 more sources
Small-Deviation Inequalities for Sums of Random Matrices [PDF]
Random matrices have played an important role in many fields including machine learning, quantum information theory, and optimization. One of the main research focuses is on the deviation inequalities for eigenvalues of random matrices. Although there are intensive studies on the large-deviation inequalities for random matrices, only a few works ...
Gao, Xianjie +2 more
openaire +2 more sources
Some Large Deviation Asymptotics in Small Noise Filtering Problems
We consider nonlinear filters for diffusion processes when the observation and signal noises are small and of the same order. As the noise intensities approach zero, the nonlinear filter can be approximated by a certain variational problem that is closely related to Mortensen's optimization problem(1968).
Reddy, Anugu Sumith +2 more
openaire +2 more sources
Nanoflare Evidence from Analysis of the X-Ray Variability of an Active Region Observed with Hinode/XRT [PDF]
The heating of the solar corona is one of the big questions in astrophysics. Rapid pulses called nanoflares are among the best candidate mechanisms.
Kano, R. +5 more
core +1 more source
Large Deviations and Importance Sampling for Systems of Slow-Fast Motion
In this paper we develop the large deviations principle and a rigorous mathematical framework for asymptotically efficient importance sampling schemes for general, fully dependent systems of stochastic differential equations of slow and fast motion with ...
Spiliopoulos, Konstantinos
core +1 more source

