Results 51 to 60 of about 184,299 (283)

PENERAPAN METODE BAYES DALAM MENGESTIMASI PREMI KREDIBILITAS PADA ASURANSI UMUM

open access: yesE-Jurnal Matematika, 2021
Determination of insurance premiums is very important the calculation must be done carefully so that there is experience losses. The purpose of this research is to find out the application of empirical Bayes credibility theory Model 1 and estimate of the
RAIN FERNANDO BANGUN   +2 more
doaj   +1 more source

In-season prediction of batting averages: A field test of empirical Bayes and Bayes methodologies [PDF]

open access: yes, 2008
Batting average is one of the principle performance measures for an individual baseball player. It is natural to statistically model this as a binomial-variable proportion, with a given (observed) number of qualifying attempts (called ``at-bats''), an ...
Brown, Lawrence D.
core   +3 more sources

Stochastic Nanoscale Biophysical Cues as a Basis for the Induction of Glioblastoma‐Like Transcriptional Programs in Astrocytes

open access: yesAdvanced Science, EarlyView.
Stochastic nanoscale physical cues induce glioblastoma (GBM)‐associated transcriptional traits in naïve astrocytes leading to spontaneous formation of spheroids. Cells within spheroids express activated‐MMP2 and a differential gene expression pattern involving P53 and NOTCH3, providing evidence for a role for changes in brain topography, as observed in
Laurent Starck   +8 more
wiley   +1 more source

A Mussel‐Inspired Bioadhesive Patch to Selectively Kill Glioblastoma Cells

open access: yesAdvanced Science, EarlyView.
An innovative mussel‐inspired bioadhesive patch has been developed for post‐surgical glioblastoma treatment. The patch, which adheres strongly in biological environments, releases a localized treatment. This treatment, acting via reactive oxygen species, shows specific toxicity to glioblastoma cells.
Jose Bolaños‐Cardet   +5 more
wiley   +1 more source

Empirical Bayes and Hierarchical Bayes Estimation of Skew Normal Populations [PDF]

open access: yes, 2008
We develop empirical and hierarchical Bayesian methodologies for the skew normal populations through the EM algorithm and the Gibbs sampler. A general concept of skewness to the normal distribution is considered throughout.
Bansal, Naveen K.   +2 more
core   +1 more source

Engineered GM1 Intersects Between Mitochondrial and Synaptic Pathways to Ameliorate ALS Pathology

open access: yesAdvanced Science, EarlyView.
Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease driven by genetic and molecular disruptions affecting energy balance, protein homeostasis, and stress responses in nerve cells. Studies using human and rodent models identified convergent defects in mitochondria and synaptic function.
Federica Pilotto   +11 more
wiley   +1 more source

Restriction of Individual Branched‐Chain Amino Acids has Distinct Effects on the Development and Progression of Alzheimer's Disease in 3xTg Mice

open access: yesAdvanced Science, EarlyView.
Protein restriction (PR) slows Alzheimer's disease (AD) in mice, and other benefits of PR are due to decreased branched‐chain amino acids (BCAAs). We show that restricting any BCAA has benefits, with sex‐ and BCAA‐specific impacts on pathology, molecular signaling, and cognition.
Reji Babygirija   +22 more
wiley   +1 more source

β‐Adrenergic Signaling Promotes Anti‐Tumor Immunity in TP53‐mutant Oral Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
β‐adrenergic stimulation enhances anti‐tumor immunity in TP53‐deficient oral squamous cell carcinoma by inducing tumor‐derived secretion of CXCL10, which attracts and activates cytotoxic CD8+ T cells. The findings demonstrate that β‐adrenergic signaling alters tumor–immune interactions via CXCL10‐mediated paracrine activation, revealing a neuro‐immune ...
Frederico O. Gleber‐Netto   +20 more
wiley   +1 more source

Invariant Empirical Bayes Confidence Interval for Mean Vector of Normal Distribution and its Generalization for Exponential Family

open access: yesپژوهش‌های ریاضی, 2017
Based on a given Bayesian model of multivariate normal with  known variance matrix we will find an empirical Bayes confidence interval for the mean vector components which have normal distribution. We will find this empirical Bayes confidence interval as
mehdi shams
doaj  

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