Results 91 to 100 of about 38,919 (183)
Calibrating Bayesian inference
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
wiley +1 more source
Using Bayes theorem to estimate positive and negative predictive values for continuously and ordinally scaled diagnostic tests. [PDF]
Fischer F.
europepmc +1 more source
ABSTRACT Objective This cross‐sectional study examined the cultural and social determinants of health in Canada, New Zealand, and Australia and their relevance to the oral health of Indigenous pregnant women. Methods An Indigenous framework was applied to a social determinants of health (SDH) model, Charlotte Loppie's Tree Metaphor, utilising data from
Herenia P. Lawrence +2 more
wiley +1 more source
Measuring Thematic Funds Performance via an Approach Based on Observable and Latent Factors
ABSTRACT This paper investigates whether thematic equity funds deliver abnormal performance relative to conventional global equity funds. Using Fama‐French models augmented with latent factors, we estimate fund‐level alphas, and apply the false discovery rate methodology to an estimated three‐group mixture distribution, separating good, null and bad ...
Maria Debora Braga +2 more
wiley +1 more source
Corrigendum to "Bayes' theorem, COVID19, and screening tests" [The American Journal of Emergency Medicine, Volume 38, Issue 10, October 2020, Pages 2011-2013]. [PDF]
Chan GM.
europepmc +1 more source
ABSTRACT Aim Radiofrequency ablation (RFA) is curative therapy for early‐stage hepatocellular carcinoma (HCC), but a rare subset of patients develop aggressive intrasegmental recurrence shortly after complete ablation. We characterized the incidence, risk factors, and absolute risk.
Takuma Kaneko +8 more
wiley +1 more source
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source
Towards more reliable gambling cost estimates, a population-based study with register-linkage
Background Although past research has shown a strong association between gambling participation and harms, relatively few studies have attempted to quantify the cost of these harms to society.
Tiina A. Latvala +5 more
doaj +1 more source
The Distributional Effects of Economic Uncertainty*
ABSTRACT We study the distributional implications of uncertainty shocks by developing a model that links macroeconomic aggregates to the US distribution of earnings and consumption. Our findings suggest that the fraction of low‐earning workers decreases initially, while the share of households reporting low consumption increases.
Florian Huber +2 more
wiley +1 more source
Research on GB-SAR slope deformation geocoding method based on Bayes theorem
In recent years, the ground based deformation monitoring radar (GB-SAR), as an emerging remote sensing deformation monitoring technology equipment, has become a research hotspot in the field of open pit mine slope safety and landslide geohazard ...
Hao Zhang +5 more
doaj +1 more source

