Results 111 to 120 of about 206,039 (334)
An Improvement to Interval Estimation for Small Samples
Because it is difficult and complex to determine the probability distribution of small samples,it is improper to use traditional probability theory to process parameter estimation for small samples.
SUN Hui-Ling, HUWei-wen, LIU Hai-tao
doaj +1 more source
"Minimax Estimation of Linear Combinations of Restricted Location Parameters" [PDF]
The estimation of a linear combination of several restricted location parameters is addressed from a decision-theoretic point of view. A bench-mark estimator of the linear combination is an unbiased estimator, which is minimax, but inadmissible relative ...
Tatsuya Kubokawa
core
A semiconductor‐fabricated nanowell biosensor enables rapid, scalable, and highly reproducible detection of SARS‐CoV‐2 antigens from nasal swabs within ∼10 minutes. Clinical validation in 249 retrospective and 243 prospective patient samples demonstrates high sensitivity and specificity, minimal cross‐reactivity, and robust batch‐to‐batch ...
Yoo Min Park +11 more
wiley +1 more source
Stochastic vibration control of uncertain structures under random loading is an important problem and its minimax optimal control strategy remains to be developed.
Hua Lei, Zhao-Zhong Ying, Zu-Guang Ying
doaj +1 more source
Empirical Minimum-Variance Hedge (The) [PDF]
Decision making under unknown true parameters (estimation risk) is discussed along with Bayes' and parameter certainty equivalent (PCE) criteria. Bayes' criterion incorporates estimation risk in a manner consistent with expected utility maximization. The
Hayes, Dermot J., Lence, Sergio H.
core
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng +17 more
wiley +1 more source
In this study, the variance compounds parameters of the mixed bi-division variance analysis sample are estimated. This estimation is obtained, by Bayes quadratic unbiased estimator. The second way to estimate variance compounds parameters of a suggested
Shaymaa Riyadh Thanoon
doaj +2 more sources
Bayes, Neyman and Neyman-Bayes Inference for Queueing Systems [PDF]
In this paper we will use the Bayesian inference for the parameters that appear in the queueing systems. We will estimate these parameters and we will build confidence intervals and significance tests for them, considering the parameters of the ...
Ciuiu, Daniel
core +1 more source
This study reports on the physical implementation of optical material‐based neural processing using long‐persistent luminescence as memory‐retention and nonlinear optical material. The system performs optical‐domain preprocessing with opto‐electronic interfaces for stimulus delivery and readout, enabling real‐time demonstrations including Pong gameplay
Sangwon Wi, Yunsang Lee
wiley +1 more source
Asymptotic Behavior of Bayes' Estimates
This paper extends some of the results obtained by Freedman [2]. In Section 1 a class of prior distributions on the space of all substochastic distributions on the positive integers is given, such that along almost all sample sequences the corresponding posterior distributions of the expectations of all bounded functions on the positive integers are ...
openaire +2 more sources

