Results 71 to 80 of about 1,552,349 (289)
Evaluation of likelihood functions
An expression is obtained for the likelihood function for the detection of a stochastic signal (diffusion process) in white noise. A stochastic differential equation is then obtained for the evolution of the likelihood function and the coefficients of this differential equation are related to a corresponding nonlinear filtering problem. Some extensions
openaire +3 more sources
Inpatient Food Insecurity and Pediatric Hematology Oncology Hospitalization Outcomes
ABSTRACT Children with cancer and blood disorders are at risk for food insecurity (FI). We aimed to describe the association of inpatient food insecurity (IFI) and hospitalization outcomes among patients admitted to the pediatric hematology oncology service. Of 325 caregivers screened for IFI, 60 (18.6%) screened positive.
Joanna M. Robles +4 more
wiley +1 more source
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source
Minimax Lower Bounds for Uniform Estimation of Covariate-Dependent Copula Parameters
Local likelihood methods are widely used to estimate calibration functions in conditional copula models. Recent work has established uniform stochastic equicontinuity and uniform convergence rates for local likelihood estimators of covariate-dependent ...
Mathias Nthiani Muia +2 more
doaj +1 more source
The statistical analysis of circular, multivariate circular, and spherical data is very important in different areas, such as paleomagnetism, astronomy and biology.
Juan José Fernández-Durán +1 more
doaj +1 more source
Evidential Estimation of an Uncertain Mixed Exponential Distribution under Progressive Censoring
In this paper, the evidential estimation method for the parameters of the mixed exponential distribution is considered when a sample is obtained from Type-II progressively censored data.
Kuang Zhou, Yimin Shi
doaj +1 more source
Maximum Likelihood for Matrices with Rank Constraints [PDF]
Maximum likelihood estimation is a fundamental optimization problem in statistics. We study this problem on manifolds of matrices with bounded rank. These represent mixtures of distributions of two independent discrete random variables.
Hauenstein, Jonathan +2 more
core
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
wiley +1 more source
The estimation of the uncertainty associated with stage-discharge relations is a challenge to the hydrologists. Bayesian inference with likelihood estimator is a promissory approach.
Maldonado Luiz Henrique +2 more
doaj +1 more source
ldr: An R Software Package for Likelihood-Based Su?cient Dimension Reduction
In regression settings, a su?cient dimension reduction (SDR) method seeks the core information in a p-vector predictor that completely captures its relationship with a response.
Kofi Placid Adragni, Andrew M. Raim
doaj +1 more source

