Results 41 to 50 of about 8,985,595 (290)

Novel Mathematical Framework for Performance Analysis of Energy Harvesting-Based Point-to-Point Communications

open access: yesIEEE Access, 2023
This paper presents a novel performance evaluation framework for energy harvesting communications. As the harvested energy may not always be at the required levels in the transmitter’s battery, possible energy outage may hinder the transmission ...
Dhawal Beohar   +2 more
doaj   +1 more source

Parallel Algorithms and Probability of Large Deviation for Stochastic Convex Optimization Problems

open access: yes, 2018
We consider convex stochastic optimization problems under different assumptions on the properties of available stochastic subgradient. It is known that, if the value of the objective function is available, one can obtain, in parallel, several independent
Dvurechensky, Pavel   +2 more
core   +1 more source

Convexity and Large Deviations

open access: yesThe Annals of Probability, 1984
In a previous paper [ibid. 11, 158-167 (1983; Zbl 0503.60035), the author introduced a concept of ''dominating'' points to establish a nice representation formula and improved asymptotics for the probabilities of large deviations of random walks on \({\mathbb{R}}^ d\).
openaire   +2 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Large Deviation Algorithms for Thresholding Bandit Problem

open access: yesBig Data Mining and Analytics
The Thresholding Bandit (TB) problem is a popular sequential decision-making problem, which aims at identifying the systems whose means are greater than a threshold.
Manjing Zhang   +4 more
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan   +18 more
wiley   +1 more source

Large Deviation Principles for Posterior Distributions of the Normal Parameters [PDF]

open access: yes, 2012
Suppose that X1,X2,... are conditionally i.i.d. random variables with distribution Pθ given =θ,where is an unknown parameter. If Pθ is a normal distribution with mean θ and known variance σ2, and if the prior of is chosen from the conjugate family N(μ,
Shikimi, Takuhisa
core  

Large Deviation Analysis of Score-Based Hypothesis Testing

open access: yesIEEE Access
Score-based statistical models play an important role in modern machine learning, statistics, and signal processing. For hypothesis testing, a score-based hypothesis test is proposed in Wu et al., (2022).
Enmao Diao   +2 more
doaj   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider   +15 more
wiley   +1 more source

Some examples of noncentral moderate deviations for sequences of real random variables

open access: yesModern Stochastics: Theory and Applications, 2023
The term moderate deviations is often used in the literature to mean a class of large deviation principles that, in some sense, fills the gap between a convergence in probability to zero (governed by a large deviation principle) and a weak convergence to
Rita Giuliano, Claudio Macci
doaj   +1 more source

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