Results 141 to 150 of about 131,402 (244)
Aplicação de modelo bayesiano empírico na análise espacial da ocorrência de hanseníase
Revista de Saúde PúblicaOBJETIVO: Analisar a distribuição espacial da hanseníase, identificar áreas de possível sub-registro de casos ou de provável alta transmissão (risco) e verificar a associação dessa distribuição à existência de casos de formas multibacilares.
Wayner Vieira Souza +7 more
doaj
Simulations All the Way Up! An Atheist's Response to the Fine‐Tuning Argument
Analytic Philosophy, EarlyView.ABSTRACT So the Fine‐tuning Argument goes, because it is so unlikely for the physical constants of the laws of nature to have taken the values that they in fact take, we should significantly raise our credence that God exists. Simulation Arguments argue that our world might be (or, in stronger versions, that it probably is) a mere computer simulation ...
Nikk Effingham
wiley +1 more source
Political Psychology, EarlyView.Abstract Armed groups operating in conflicts around the world publish statements of denial to dissociate themselves from acts of violence. Existing research argues that armed groups publish denial statements to avoid public backlash, favorably frame the conduct of their campaigns, and distance themselves from unsanctioned actions conducted by rank‐and ...
Ilayda B. Onder, Mark Berlin
wiley +1 more source
Sensitivity analysis for generalized estimating equation with non‐ignorable missing data
Scandinavian Journal of Statistics, EarlyView.Abstract Many incomplete‐data statistical inference procedures are developed under the missing at random (MAR) assumption. However, the MAR assumption has been criticized as being overly strong for real‐data problems, and is unverifiable by using observed data. To handle data that are missing not at random (MNAR), sensitivity analysis has been proposed
Hui Gong, Kin Wai Chan
wiley +1 more source
Bayes Theorem and Protopathic Bias: Methodological Concerns When Addressing the Impact of Fetal Heart Rate Patterns on the Cesarean Section Rate. [PDF]
AJP Rep, 2020 Balayla J +3 more
europepmc +1 more source
Dimension reduction for optimal design problems with Kronecker product structure
Scandinavian Journal of Statistics, EarlyView.Abstract This paper is motivated by the problem of optimal allocation of trials in multi‐environment crop variety testing with a large number of varieties. Optimizing the allocation of trials results in the minimization of a design criterion with a Kronecker product structure in the information matrix.
Taras Bodnar, Maryna Prus
wiley +1 more source
AIChE Journal, Volume 72, Issue 6, June 2026.Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi +2 more
wiley +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Applied AI Letters, Volume 7, Issue 2, June 2026.This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Cadernos de Saúde PúblicaVictora 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