Results 121 to 130 of about 38,919 (183)
Victora et al. (1998) proposed the use of low weight-for-age prevalence to estimate the prevalence of height-for-age deficit in Brazilian children. This procedure was justified by the need to simplify methods used in the context of community health ...
Michael E. Reichenheim, Nicola G. Best
doaj
Correction to: A software tool for applying Bayes' theorem in medical diagnostics. [PDF]
Chatzimichail T, Hatjimihail AT.
europepmc +1 more source
Transfer Learning Under Group‐Label Shift: A Semiparametric Exponential Tilting Approach
ABSTRACT This article studies unsupervised transfer learning for a binary outcome, with labeled source data and unlabeled target covariates. The setting is motivated by cases where standard covariate‐shift and label‐shift assumptions are inadequate: group‐ or environment‐related features may vary jointly with the label across populations, while the ...
Manli Cheng +3 more
wiley +1 more source
ABSTRACT Multi‐tote autonomous mobile robots (MT‐AMRs) are an emerging warehousing technology in which a mobile drive unit carries a lift‐based storage‐and‐retrieval mechanism with an extendable fork and a multi‐tote onboard buffer. On autonomous picking tours, an MT‐AMR visits storage locations, extracts product totes from racks, stores them in its ...
Nils Boysen, Fabian Hennig, Tobias Kroll
wiley +1 more source
Comment on van Gemert et al. Child Abuse, Misdiagnosed by an Expertise Center-Part II-Misuse of Bayes' Theorem. Children 2023, 10, 843. [PDF]
Onkenhout NH +5 more
europepmc +1 more source
ABSTRACT Inference in Bayesian inverse problems frequently relies on sampling‐based methods for exploring the posterior distribution. In this paper, we compare two such methods for Bayesian bathymetry reconstruction from water‐surface elevation measurements: Metropolis–Hastings Markov chain Monte Carlo (MH‐MCMC) and transitional Markov chain Monte ...
Lars Stietz +3 more
wiley +1 more source
A Sequential Monte Carlo Method for Bayesian Poisson Process Trees
ABSTRACT Statistical analysis of spatial point patterns often needs to deal with heterogeneous structures in intensity function estimation with possibly high‐dimensional covariate space. Likelihood based inference for spatial point process models needs to address the challenges in evaluating the multidimensional integral of random intensity function ...
Pulong Ma
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
Is A Little Learning Dangerous?
ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley +1 more source
Bayes' theorem, the ROC diagram and reference values: Definition and use in clinical diagnosis. [PDF]
Kallner A.
europepmc +1 more source

