Results 91 to 100 of about 1,142,624 (314)
Credible Intervals for Knowledge Graph Accuracy Estimation
Proceedings of the ACM on Management of DataKnowledge Graphs (KGs) are widely used in data-driven applications and downstream tasks, such as virtual assistants, recommendation systems, and semantic search. The accuracy of KGs directly impacts the reliability of the inferred knowledge and outcomes.
Stefano Marchesin 0001 +1 more
openaire +4 more sources
Arthritis Care &Research, EarlyView.Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source
Global mean sea-level rise in a world agreed upon in Paris
Environmental Research Letters, 2017 Although the 2015 Paris Agreement seeks to hold global average temperature to ‘ well below 2 °C above pre-industrial levels and to pursue efforts to limit the temperature increase to 1.5 °C above pre-industrial levels ’, projections of global mean sea ...
Klaus Bittermann +3 more
doaj +1 more source
, 2015 Posterior mean estimates and the 95% credible interval (CI) for the variance components of the singular values.
Marcio Balestre (767559) +4 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective Despite guideline recommendations, long‐term glucocorticoid (GC) use is common in rheumatoid arthritis (RA). We conducted a clinician survey nested within a large registry to identify patient and clinician factors associated with GC use. Methods Clinicians contributing patients to the CorEvitas Rheumatoid Arthritis Registry were surveyed ...
Michael D. George +7 more
wiley +1 more source
Defining a credible interval is not always possible with "point-null'' priors: A lesser-known correlate of the Jeffreys-Lindley paradox [PDF]
, 2023 In many common situations, a Bayesian credible interval will be, given the same data, very similar to a frequentist confidence interval, and researchers will interpret these intervals in a similar fashion.
Gustafson, Paul, Campbell, Harlan
core +1 more source
, 2018 Posterior estimates (95% credible interval) for variance components of the best 4 models with and without spatial effects.
Christel Faes (413583) +6 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Quantifying Uncertainty in Brain Network Measures using Bayesian Connectomics
Frontiers in Computational Neuroscience, 2014 The wiring diagram of the human brain can be described in terms of graph measures that characterize structural regularities. These measures require an estimate of whole-brain structural connectivity for which one may resort to deterministic or ...
Ronald Johannes Janssen +4 more
doaj +1 more source
The relation between frequentist confidence intervals and Bayesian credible intervals
, 2012 8 pages, 1 ...
Bitioukov, S. I., Krasnikov, N. V.
openaire +2 more sources