Results 101 to 110 of about 128,009 (300)
"Improved Empirical Bayes Ridge Regression Estimators under Multicollinearity" [PDF]
In this paper we consider the problem of estimating the regression parameters in a multiple linear regression model when the multicollinearity is present.Under the assumption of normality, we present three empirical Bayes estimators.
Tatsuya Kubokawa, M. S. Srivastava
core
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey +8 more
wiley +1 more source
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier +2 more
doaj +1 more source
Which methods for bedside Bayes? [PDF]
Understanding how and why Bayes theorem translates pre-test into post-test probabilities is the pons asinorum (Euclid's 5th proposition is known as the “bridge of asses” because many folk got stuck crossing it) of evidence-based medicine (EBM). Because different minds are sparked by different methods, we teach the theorem by using several presentations:
openaire +6 more sources
A nanounit‐assembled hydrogel employing a “pull‐and‐push” strategy simultaneously scavenges pro‐inflammatory cell‐free DNA (cfDNA) and delivers regenerative therapeutics in response to burn‐induced hyperthermia. By repolarizing macrophages and promoting angiogenesis, this multifunctional platform accelerates burn wound healing, offering a blueprint for
Han‐Sem Kim +9 more
wiley +1 more source
Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]
Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Theofanis Sapatinas +5 more
core +1 more source
Impact of Disorder on Microscopic Superconducting and Normal‐State Responses in a Kagome Metal
Using depth‐resolved, field‐ and pressure‐dependent μSR$\umu{\rm SR}$ measurements, we show that disorder in Ta‐doped KV3Sb5 drives a crossover from nodal to nodeless superconductivity while strongly modifying the normal‐state magnetic response. Our results reveal that disorder affects superconductivity and magnetism in fundamentally different ways ...
J. N. Graham +18 more
wiley +1 more source
Taxpayer Awareness Classification Using Decision Tree and Naïve Bayes Methods
Land and Building Tax (PBB) has a big influence on a region's PAD. Therefore, regions always strive to increase PBB income as much as possible. Many factors influence the increase in PBB, one of which is public awareness of taxes.
Moch Riyadi Maskur A, Arief Wibowo
doaj +1 more source
A thermo‐responsive poly(2‐oxazoline)‐based injectable formulation is developed to modulate intraocular pressure (IOP) in both normal and hypotonic eyes. By adjusting the PEG content, the aggregation behavior is finely tuned, enabling IOP elevation without long‐term deposition.
Yuji Tanaka +2 more
wiley +1 more source
Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes
The management of patient well-being can be performed by monitoring continuous time-series vital-sign data via low-cost wearable devices. Automated algorithms may then be used with the resulting data to provide early warning of deterioration of the ...
Tingting Zhu +6 more
doaj +1 more source

