Results 61 to 70 of about 13,556,907 (351)
LAN property for discretely observed solutions to Lévy driven SDE’s
The LAN property is proved in the statistical model based on discrete-time observations of a solution to a Lévy driven SDE. The proof is based on a general sufficient condition for a statistical model based on discrete observations of a Markov process to
D. Ivanenko, A. Kulik
doaj +1 more source
The autonomic nervous system (ANS) is of paramount importance for daily life. Its regulatory action on respiratory, cardiovascular, digestive, endocrine, and many other systems is controlled by a number of structures in the CNS.
F. Beissner +3 more
semanticscholar +1 more source
SPATIAL CLUSTERING USING THE LIKELIHOOD FUNCTION
Clustering has been widely used as a tool to group multivariate observations that have similar characteristics. However, there have been few attempts at formulating a method to group similar multivariate observations while taking into account their spatial location.
Kerby, April +3 more
openaire +3 more sources
Approximate Integrated Likelihood via ABC methods
We propose a novel use of a recent new computational tool for Bayesian inference, namely the Approximate Bayesian Computation (ABC) methodology. ABC is a way to handle models for which the likelihood function may be intractable or even unavailable and/or
Grazian, Clara, Liseo, Brunero
core +1 more source
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
In this paper general formulas for the likelihood function have been derived in the case when uncensored/censored statistical data refer to the lifetime of serial-parallel and parallel-serial type networks when the lifetimes of the system ...
LEAHU, Alexei +2 more
doaj +1 more source
Mining gold from implicit models to improve likelihood-free inference [PDF]
Significance In scientific fields as diverse as particle physics, genetics, and epidemiology, complex computer simulations provide the most accurate description of phenomena, but the corresponding likelihood function cannot be computed.
J. Brehmer +3 more
semanticscholar +1 more source
PAC-Bayesian Theory Meets Bayesian Inference [PDF]
We exhibit a strong link between frequentist PAC-Bayesian risk bounds and the Bayesian marginal likelihood. That is, for the negative log-likelihood loss function, we show that the minimization of PAC-Bayesian generalization risk bounds maximizes the ...
Bach, Francis +3 more
core +3 more sources
An investigation into the Multiple Optimised Parameter Estimation and Data compression algorithm
We investigate the use of the Multiple Optimised Parameter Estimation and Data compression algorithm (MOPED) for data compression and faster evaluation of likelihood functions.
Anthony Lasenby +6 more
core +1 more source
Parent‐to‐Child Information Disclosure in Pediatric Oncology
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source

