Consider an experiment yielding an observable random quantity X whose distribution Fθ depends on a parameter θ with θ being distributed according to some distribution G0. We study the Bayesian estimation problem of θ under squared error loss function based on X, as well as some additional data available from other similar experiments according to an empirical Bayes structure. In a recent paper,...

We augment the naive Bayes model with an n-gram language model to address two shortcomings of naive Bayes text classifiers. The chain augmented naive Bayes classifiers we propose have two advantages over standard naive Bayes classifiers. First, a chain augmented naive Bayes model relaxes some of the independence assumptions of naive Bayes—allowing a local Markov chain dependence in the observed...

In the Ades et al. method we calculate, for each sampled dataset, either the exact posterior expected net benefit for each decision option, or some close analytic approximation. We denote the analytically calculated posterior expected net benefit for data sample k and decision option d as NB

The present study aimed to examine the effectiveness of silymarin compared to hydrocortisone on clinical and hematological alterations and organ injury (liver and heart) in a low-dose canine lipopolysaccharide (LPS)-induced sepsis model. Fifteen clinically healthy dogs were randomly categorized into three equal groups: Two dogs in group A, LPS (0.10 μg kg-1, IV) was injected (control...

This study investigated the anti-inflammatory effects of astragaloside IV(AS-IV) on ischemia/reperfusion (IR) induced acute kidney injury (AKI) in rats. Experimental model of ischemic AKI was induced in rats by bilateral renal artery clamp for 45 min followed by reperfusion of 12 h and 24 h, respectively. AS-IV was orally administered once a day to rats at 10 and 20 mg·kg(-1)·d(-1) for 7 days p...

an estimation problem of the mean µ of an inverse gaussian distribution ig(µ, c µ) with known coefficient of variation c is treated as a decision problem with entropy loss function. a class of bayes estimators is constructed, and shown to include mrse estimator as its closure. two important members of this class can easily be computed using continued fractions

We generalize the approach of Liu and Lawrence (1999) for multiple changepoint problems where the number of changepoints is unknown. The approach is based on dynamic programming recursion for efficient calculation of the marginal probability of the data with the hidden parameters integrated out. For the estimation of the hyperparameters, we propose to use Monte Carlo EM when training data are a...

In oncologic monotherapy, SC compared to intravenous (IV) route brings advantages like patients’ (Pts) and healthcare professionals (HCP) preference improved efficiency, thanks reductions of both time use resources. During adjuvant dual blockade for HER2 EBC, trained observers measured used in various treatment activities 3 cycles (2nd 4th) pertuzumab (Perjeta or P) IV trastuzumab (Herceptin® H...

cancer is one of the causes of death in the world. several treatment methods exist against cancer cells such as radiotherapy and chemotherapy. since traditional methods have side effects on normal cells and are expensive, identification and developing a new method to cancer therapy is very important. antimicrobial peptides, present in a wide variety of organisms, such as plants, amphibians and ...