Results 151 to 160 of about 8,843 (310)

BAYES RISKS OF ESTIMATORS OF ESTIMABLE PARAMETERS

open access: yes
Bayes risks are evaluated for estimators of an estimable parameter of degree 1 or 2, which are $ U $-statistics, differentiable statistical functions, Bayes estimates and limits of Bayes estimates, using squared error loss and a Ferguson's Dirichlet ...
Yamato, Hajime, 大和, 元
core  

Frequentist optimality of bayes factor estimators in wavelet regression models

open access: yes, 2007
We investigate the theoretical performance of Bayes factor estimators in wavelet regression models with independent and identically distributed errors that are not necessarily normally distributed.
Sapatinas, Theofanis, Pensky, Marianna
core  

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

open access: yesAdvanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng   +6 more
wiley   +1 more source

High‐Performance Prevascularized SHED‐Laden rGO@Hydrogel Achieves Optimized Diabetic Bone Defect Repair

open access: yesAdvanced Science, EarlyView.
A high‐performance 3D scaffold integrating rGO and SHEDs is developed to overcome impaired healing in diabetic bone defects. By driving extracellular matrix remodeling, rGO creates a pro‐angiogenic niche that significantly accelerates in vitro vascular network formation.
Can Zhang   +12 more
wiley   +1 more source

Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications.

open access: yesPLoS ONE
This article examines the estimate of ϑ = P [T < Q], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. Assume that the stress (T) and strength (Q) are independent random variables that follow the Burr III ...
Salem A Alyami   +5 more
doaj   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

open access: yesAdvanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu   +8 more
wiley   +1 more source

Versatile DNA‐Functionalized Biohybrid Hydrogel Platforms for Electrothermally Activated On‐Demand Payload Release

open access: yesAdvanced Science, EarlyView.
A DNA‐functionalized biohybrid hydrogel is developed by integrating Cu‐mediated nucleic acid microflowers into a thermoresponsive matrix, enabling electrothermally triggered, on‐demand payload release. The platform offers spatiotemporally controllable therapeutic delivery with promising applications in precision oncology, neural regulation, and chronic
Mengqiu Sun   +8 more
wiley   +1 more source

Bayes estimators and posterior risks under different loss functions.

open access: yes
Bayes estimators and posterior risks under different loss functions.
Amara Javed (9867557)   +2 more
core   +1 more source

Heterojunction‐Engineered Mass Spectrometry Platform for Deciphering Serum Metabolic Fingerprints in Diagnosis of Respiratory Diseases

open access: yesAdvanced Science, EarlyView.
Hollow Co3O4/TiO2 heterojunctions are engineered for high‐throughput laser desorption/ionization mass spectrometry. The built‐in electric field drives efficient charge separation and photothermal conversion, while the hierarchical mesoporous network enables robust salt and protein tolerance.
Junyu Chen   +8 more
wiley   +1 more source

EbayesThresh: R Programs for Empirical Bayes Thresholding

open access: yes
Suppose that a sequence of unknown parameters is observed sub ject to independent Gaussian noise. The EbayesThresh package in the S language implements a class of Empirical Bayes thresholding methods that can take advantage of possible sparsity in the ...
Iain Johnstone, Bernard W. Silverman
core  

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