Results 101 to 110 of about 13,556,907 (351)

Bayesian analysis of neutron-star properties with parameterized equations of state: the role of the likelihood functions [PDF]

, 2022
Jin-Liang Jiang, Christian Ecker, Luciano Rezzolla   +2 more
openalex   +1 more source

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu, Jian Wang, Ling Jin, Yanlong Duan, Fu Li, Yueping Jia, Leping Zhang, Xiaojun Yuan, Wei Liu, Ying Liu, Ansheng Liu, Mincui Zheng, Yunpeng Dai, Lian Jiang, Lirong Sun, Xiaowen Zhai, Rong Liu, Chunju Zhou, Zifen Gao, Yonghong Zhang, Xiaomei Yang   +20 more
wiley   +1 more source

The estimation of the uncertainty associated with rating curves of the river Ivinhema in the state of Paraná/Brazil

E3S Web of Conferences, 2018
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, Firmo Kazay Daniel, Romero Lopez Elio Emanuel   +2 more
doaj   +1 more source

DELP Treatment on Vision and Retinal Microcirculation in Patients With Acute Ischemic Stroke: Report of Five Cases and Literature Review

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li, Ronghua Hong, Hua You, Feiping Xu, Qingjun Zhang, Yiwen Lin, Yuting Su, Danmei Lan, Lingjing Jin, Junhui She   +9 more
wiley   +1 more source

Parameter Estimation with Data-Driven Nonparametric Likelihood Functions

Entropy, 2019
In this paper, we consider a surrogate modeling approach using a data-driven nonparametric likelihood function constructed on a manifold on which the data lie (or to which they are close).
Shixiao W. Jiang, John Harlim
doaj   +1 more source

Semiparametric Estimation and Inference in Multinomial Choice Models [PDF]

The purpose of this paper is to incorporate semiparametric alternatives to maximum likelihood estimation and inference in the context of unordered multinomial response data when in practice there is often insufficient information to specify the ...
Cardell, N. Scott, Fahs, Rafic, Mittelhammer, Ronald C.   +2 more
core   +1 more source

Distributed Bayesian Filtering using Logarithmic Opinion Pool for Dynamic Sensor Networks [PDF]

, 2018
The discrete-time Distributed Bayesian Filtering (DBF) algorithm is presented for the problem of tracking a target dynamic model using a time-varying network of heterogeneous sensing agents.
Bandyopadhyay, Saptarshi, Chung, Soon-Jo
core   +1 more source

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

On the Nuisance Parameter Elimination Principle in Hypothesis Testing

Entropy
The Non-Informative Nuisance Parameter Principle concerns the problem of how inferences about a parameter of interest should be made in the presence of nuisance parameters. The principle is examined in the context of the hypothesis testing problem.
Andrés Felipe Flórez Rivera, Luis Gustavo Esteves, Victor Fossaluza, Carlos Alberto de Bragança Pereira   +3 more
doaj   +1 more source

Interval Estimation from the Likelihood Function

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1971
Summary During the last few years, several authors have devoted attention to both old and new methods of making inferences from likelihood functions. In this paper we study the properties of interval estimates which are obtained by drawing a horizontal line across the graph of the likelihood function.
openaire   +2 more sources