Results 41 to 50 of about 2,121,332 (279)

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Large Deviations in randomly coloured random graphs [PDF]

open access: yes, 2009
Models of random graphs are considered where the presence or absence of an edge depends on the random types (colours) of its vertices, so that whether or not edges are present can be dependent.
Biggins, J.D., Penman, D.B.
core   +1 more source

Convergence of large-deviation estimators [PDF]

open access: yesPhysical Review E, 2015
We study the convergence of statistical estimators used in the estimation of large deviation functions describing the fluctuations of equilibrium, nonequilibrium, and manmade stochastic systems. We give conditions for the convergence of these estimators with sample size, based on the boundedness or unboundedness of the quantity sampled, and discuss how
Rohwer, C., Angeletti, F., Touchette, H.
openaire   +4 more sources

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
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

Airy distribution: Experiment, large deviations, and additional statistics

open access: yesPhysical Review Research, 2020
The Airy distribution (AD) describes the probability distribution of the area under a Brownian excursion. The AD is prominent in several areas of physics, mathematics, and computer science. Here we use a dilute colloidal system to directly measure the AD
Tal Agranov   +5 more
doaj   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
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

The discounted local limit theorems for large deviations

open access: yesLietuvos Matematikos Rinkinys, 2008
Theorems of large deviations, both in the Cramer zone and the Linnik power zones, for the normal approximation of the distribution density function of normalized sum Sv = \sum∞ k=0 vkXk, 0 < v < 1, of i.i.d.
Leonas Saulis, Dovilė Deltuvienė
doaj   +1 more source

Witnessing nonclassicality through large deviations in quantum optics

open access: yesPhysical Review Research, 2020
Nonclassical correlations in quantum optics as resources for quantum computation are important in the quest for highly specialized quantum devices. Here, we put forward a methodology to witness nonclassicality of the output field from a generic quantum ...
Dario Cilluffo   +6 more
doaj   +1 more source

Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics

open access: yesEntropy, 2020
The Thermodynamic Formalism provides a rigorous mathematical framework for studying quantitative and qualitative aspects of dynamical systems. At its core, there is a variational principle that corresponds, in its simplest form, to the Maximum Entropy ...
Rodrigo Cofré   +2 more
doaj   +1 more source

Large deviations for symmetrised empirical measures

open access: yes, 2007
In this paper we prove a Large Deviation Principle for the sequence of symmetrised empirical measures $\frac{1}{n} \sum_{i=1}^{n} \delta_{(X^n_i,X^n_{\sigma_n(i)})}$ where $\sigma_n$ is a random permutation and $((X_i^n)_{1 \leq i \leq n})_{n \geq 1}$ is
Trashorras, José
core   +3 more sources

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