Results 121 to 130 of about 38,919 (183)

A Bayesian approach to estimate the prevalence of low height-for-age from the prevalence of low weight-for-age

open access: yesCadernos de Saúde Pública
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  

Transfer Learning Under Group‐Label Shift: A Semiparametric Exponential Tilting Approach

open access: yesScandinavian Journal of Statistics, EarlyView.
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

Digging Deep: Dynamic Programming for Optimal Routing With Double‐Deep Autonomous Mobile Robot Picking

open access: yesNetworks, Volume 88, Issue 4, Page 418-436, December 2026.
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

Comparing Transitional Markov Chain Monte Carlo and Metropolis–Hastings Sampling for Bayesian Bathymetry Reconstruction

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
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

open access: yesStat, Volume 15, Issue 4, December 2026.
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

Is A Little Learning Dangerous?

open access: yesNoûs, Volume 60, Issue 4, Page 703-715, December 2026.
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

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