Results 171 to 180 of about 444,491 (252)
Abstract We propose a variational autoencoder framework to directly assess uncertainties in subsurface models produced by single‐ and multiparameter full waveform inversion (FWI). The new method does not require pretraining on labeled data, thus it significantly reduces computational cost and storage requirements.
Abdelrahman Elmeliegy +4 more
wiley +1 more source
Reply to Onkenhout et al. Comment on "van Gemert et al. Child Abuse, Misdiagnosed by an Expertise Center-Part II-Misuse of Bayes' Theorem. Children 2023, 10, 843". [PDF]
van Gemert MJC +3 more
europepmc +1 more source
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici +3 more
wiley +1 more source
Teaching Bayes' Theorem: Strength of Evidence As Predictive Accuracy
Although teaching Bayes' theorem is popular, the standard approach---targeting posterior distributions of parameters---may be improved. We advocate teaching Bayes' theorem in a ratio form where the posterior beliefs relative to the prior beliefs equals ...
Richard D. Morey, Jeffrey N. Rouder
core
Bayes' theorem, the ROC diagram and reference values: Definition and use in clinical diagnosis. [PDF]
Kallner A.
europepmc +1 more source
ABSTRACT This study examines greenhouse gas (GHG) emissions in South Asian countries by analyzing both their proportion relative to global emissions and total emissions, along with key country‐level determinants. To address the bounded (0‐1) and correlated nature of the GHG proportion, this study proposes a new Bayesian Unit Log‐Log Quantile Mixed ...
Nirajan Bam
wiley +1 more source
An Interactive Workshop Reviewing Basic Biostatistics and Applying Bayes' Theorem to Diagnostic Testing and Clinical Decision-Making. [PDF]
Nelson A.
europepmc +1 more source
Models for Temporal Clustering of Extreme Events With Applications to Mid‐Latitude Winter Cyclones
ABSTRACT The occurrence of extreme events like heavy precipitation or storms at a certain location often shows a clustering behavior and is thus not described well by a Poisson process. We construct a general model for the inter‐exceedance times (IETs) in between extreme events which combines different candidate models for such behavior. One of them is
Christina Mathieu +3 more
wiley +1 more source
The Central Role of Bayes' Theorem for Joint Estimation of Causal Effects and Propensity Scores. [PDF]
Zigler CM.
europepmc +1 more source

