Results 41 to 50 of about 13,006,447 (294)
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
Identifying a Large Deviation Rate Function
Assume that a sequence \(\{P_ n\}_{n\in\mathbb{N}}\) of probability measures satisfies a large deviation principle with rate function \(I\). It is proved that \(I\) is unique and that \(I\) is given by a variational expression analogous to the one defining the convex conjugate. Two examples of Markov chains with non-convex rate function are given. If \(
openaire +2 more sources
Introduction to Large Deviation Theory
This chapter provides an introduction to large deviation theory. It begins with an overview of the motivatio n for the problem under study, focusing on probability distributions and how to construct an empirical distribution. It then considers the notion
M. Vidyasagar
core +1 more source
Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
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
The cumulant generating function as a novel observable to cumulate weak lensing information
Key non-Gaussian properties of cosmological fields can be captured by their one-point statistics, providing a complement to two-point statistical measurements from power spectra or correlation functions.
Aoife Boyle +4 more
doaj +1 more source
Functional Large Deviations and Moderate Deviations for Markov-Modulated Risk Models with Reinsurance [PDF]
We establish a functional large deviation principle and a functional moderate deviation principle for Markov-modulated risk models with reinsurance by constructing an exponential martingale approach. Lundberg's estimate of the ruin time is also presented.
Gao, Fuqing, Yan, Jun
openaire +2 more sources
Large Deviation Principles for Posterior Distributions of the Normal Parameters [PDF]
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
The large deviation behavior of lacunary sums
We study the large deviation behavior of lacunary sums (Sn /n)n∈N with Sn :=∑[k=1...n] f (a(k)U), n ∈ |N, where U is uniformly distributed on [0, 1], (a(k))k∈|N is an Hadamard gap sequence, and f : |R → |R is a 1-periodic, (Lipschitz-)continuous mapping.
Frühwirth, Lorenz +2 more
core +1 more source
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
Large-deviation functions for nonlinear functionals of a Gaussian stationary Markov process [PDF]
We introduce a general method, based on a mapping onto quantum mechanics, for investigating the large-T limit of the distribution P(r,T) of the nonlinear functional r[V] = (1/T)\int_0^T dT' V[X(T')], where V(X) is an arbitrary function of the stationary Gaussian Markov process X(T).
Majumdar, Satya N., Bray, Alan J.
openaire +3 more sources

