Results 71 to 80 of about 206,039 (334)

Bayes Estimation with Convex Loss

The Annals of Mathematical Statistics, 1963
Let $X$ be a generalized random variable taking values in an abstract set $\mathscr{X}$ on which is defined an appropriate $\sigma$-field of subsets. Suppose that the distribution of $X$ depends on a real parameter $\Theta$ and that it is desired to estimate the value of $\Theta$ from an observation on $X$.
DeGroot, M. H., Rao, M. M.
openaire   +2 more sources

Intermolecular Interactions as Driving Force of Increasing Multiphoton Absorption in a Perylene Diimide‐Based Coordination Polymer

Advanced Functional Materials, EarlyView.
This study uncovers the unexplored role of intermolecular interactions in multiphoton absorption in coordination polymers. By analyzing [Zn2tpda(DMA)2(DMF)0.3], it shows how the electronic coupling of the chromophores and confinement in the MOF enhance two‐and three‐photon absorption.
Simon Nicolas Deger, Anna Mauri, Yang Cui, Sebastian Josef Weishäupl, Ali Deniz Özdemir, Hamad Syed, Aleksandr Ovsianikov, Wolfgang Wenzel, Alexander Pöthig, Jürgen Hauer, Mariana Kozlowska, Roland Augustinus Fischer   +11 more
wiley   +1 more source

Expected Bayesian estimation based on generalized progressive hybrid censored data for Burr-XII distribution with applications

AIP Advances
In the Bayesian estimation method for the parameters of random distributions, the process of selecting hyperparameters for the prior distributions is one of the important and complex matters that determine the efficiency of the estimation.
M. Nagy
doaj   +1 more source

Bayesian Estimation of the Exponential Parameter under a Multiply Type-II Censoring Scheme

Austrian Journal of Statistics, 2016
This paper provides the estimation of the scale parameter of the exponential distribution under multiply type-II censoring. Using generalized non-informative prior and natural conjugate prior, Bayes estimator and approximate Bayes estimators of the scale
Umesh Singh, Anil Kumar
doaj   +1 more source

A nonparametric empirical Bayes approach to covariance matrix estimation

, 2021
We propose an empirical Bayes method to estimate high-dimensional covariance matrices. Our procedure centers on vectorizing the covariance matrix and treating matrix estimation as a vector estimation problem.
Xin, Huiqin, Zhao, Sihai Dave
core  

A Note on Bayes Estimates

The Annals of Mathematical Statistics, 1967
Throughout this paper we are concerned with the problem of estimating a real parameter when the loss function is such that the Bayes estimate exists, is unique, and satisfies a simple Equation, (1.5). If the estimate is unbiased (in the general sense of Lehmann [3]) we show under weak conditions that it must satisfy another Equation, (1.14).
Bickel, Peter J., Blackwell, David
openaire   +3 more sources

Empirical Bayes Mean Estimation With Nonparametric Errors Via Order Statistic Regression on Replicated Data [PDF]

, 2021
Nikolaos Ignatiadis, Sujayam Saha, Dennis L. Sun, Omkar Muralidharan   +3 more
openalex   +1 more source

Biomimetic Copper‐Doped Nano‐Aluminum Adjuvant Potentiates Therapy in Chemoresistant Acute Myeloid Leukemia

Advanced Healthcare Materials, EarlyView.
We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He, Lingxiao Zhang, Yue Xiong, Yu Wang, Yuqing Zeng, Dandan Su, Ran Wang, Ying Li, Hongbo Chen, Fang Cheng, Zhi Ping Xu   +10 more
wiley   +1 more source

Frequentist and Bayesian Predictive Inference for the Log-Logistic Distribution Under Progressive Type-II Censoring

Entropy
This paper investigates the prediction of unobserved future failure times for the heavy-tailed Log-Logistic distribution under Progressive Type-II censoring.
Ziteng Zhang, Wenhao Gui
doaj   +1 more source

Microfluidic Hydroporation Platform for Effective Allogeneic CAR‐T Cell Production and Subsequent Functional Cytotoxicity Analysis

Advanced Materials Technologies, EarlyView.
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon, Sein Kim, Hyun‐Young Kim, Duck Cho, Sungsu Park, Seohyun Kim, Aram J. Chung   +6 more
wiley   +1 more source