Results 111 to 120 of about 22,191,063 (377)
Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays
Advanced Sensor Research, EarlyView.This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley +1 more source
Bootstrap Tests Based on Goodness-of-Fit Measures for Nonnested Hypotheses in Regression Models [PDF]
This paper utilizes the bootstrap to construct tests using the measures for goodness-of-fit for nonnested regression models. The bootstrap enables us to compute the statistical significance of the differences in the measures and to formally test on ...
Jeong, Jinook
core +1 more source
Chain ladder method: Bayesian bootstrap versus classical bootstrap
, 2009 The intention of this paper is to estimate a Bayesian distribution-free chain ladder (DFCL) model using approximate Bayesian computation (ABC) methodology.
Peters, Gareth W. +2 more
core +1 more source
Model averaging has gained significant attention in recent years due to its ability of fusing information from different models. The critical challenge in frequentist model averaging is the choice of weight vector. The bootstrap method, known for its favorable properties, presents a new solution.
Song, Minghui +2 more
openaire +2 more sources
Advanced Sustainable Systems, EarlyView.This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source
Bootstrapping Long-Run Covariance of Stationary Functional Time Series
ForecastingA key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal ...
Han Lin Shang
doaj +1 more source
Bootstrap Testing in Nonlinear Models [PDF]
When a model is nonlinear, bootstrap testing can be expensive because of the need to perform at least one nonlinear estimation for every bootstrap sample.
James G. MacKinnon, Russell Davidson
core
Superconformal Field Theory with Boundary: Fermionic Model
, 1998 Fermionic model of Superconformal field theory with boundary is considered. There were written the ''boundary'' Ward Identity for this theory and also constructed boundary states for fermionic and spin models.
Apikyan, S. A., Sahakyan, D. A.
core +1 more source
Advanced Science, EarlyView.Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian +26 more
wiley +1 more source
Review of: "Variable selection in generalized extreme value regression model using Bootstrap method" [PDF]
, 2023 Serdar Genç
openalex +3 more sources