Results 71 to 80 of about 2,165 (200)
Causal Effects on Nonterminal Event Time With Application to Antibiotic Usage and Future Resistance
ABSTRACT Comparing future antibiotic resistance levels resulting from different antibiotic treatments is challenging because some patients may survive only under one of the antibiotic treatments. We embed this problem within a semi‐competing risks approach to study the causal effect on resistant infection, treated as a nonterminal event time.
Tamir Zehavi +3 more
wiley +1 more source
This paper investigates statistical inferences for product lifetimes following the inverted modified Lindley distribution, utilizing progressive Type-II censored data. The estimation of model parameters employs the maximum likelihood method, complemented
Mustafa M. Hasaballah +4 more
doaj +1 more source
Abstract Objectives/Background There is growing evidence that migraine is associated with attentional abnormalities, both during and between attacks, potentially affecting the cognitive processing of sensory stimulation. However, the underlying neurophysiological mechanism remains poorly understood.
Rémy Masson +6 more
wiley +1 more source
Noninformative priors for linear combinations of exponential means
Abstract In this paper, we develop the noninformative priors for the linear combinationsof means in the exponential distributions. We develop the matching priors and thereference priors. The matching priors, the reference prior and Je reys’ prior for thelinear combinations of means are developed.
Woo Dong Lee, Dal Ho Kim, Sang Gil Kang
openaire +2 more sources
Pan‐genome analysis reveals that high‐altitude Rhododendron species resist alpine cold stress by rapidly sensing and engaging the chilling response pathway and genes that directly and indirectly protect the plant from UV radiation. Heritable genomic features such as long terminal repeats contribute to the adaptive diversification of Rhododendron ...
Haoyang Zhou +11 more
wiley +1 more source
Noninformative priors in Bayesian analysis
The reference priors, introduced by Bernardo (1979) and as further developed in Berger and Bernardo (1989a,b,c), are studied in several situations. These include nonlinear regression, sequential problems, and the unbalanced variance components problem ...
Ye, Keying
core
Mixture models serve a crucial function in life testing experiments, particularly when dealing with a heterogeneous population. In our current research study, we have developed a 2-component mixture model of the exponential distributions (2-CMMEDs) for ...
Zain Ullah +5 more
doaj +1 more source
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
Thompson sampling (TS) has been known for its outstanding empirical performance supported by theoretical guarantees across various reward models in the classical stochastic multi-armed bandit problems.
Chiang, Chao-Kai +2 more
core
Noninformative Quantum q-Priors
We find, in an analysis involving four prior probabilities (p's), that the information-theoretic-based comparative noninformativity test devised by Clarke, and applied by Slater in a quantum setting, yields a ranking (p_{F_{q=1}} > p_{B} > p_{B_{q=1}trunc} >p_{F}) fully consistent with Srednicki's recently-stated criterion for priors of ...
openaire +2 more sources
Bayesian estimation for location parameter of the inverse Gaussian distribution is presented in this paper. Noninformative priors (Uniform and Jeffreys) are assumed to be the prior distributions for the location parameter as the shape parameter of the ...
Khan, Nida, Aslam, Muhammad
core +1 more source

