Results 11 to 20 of about 18,517 (245)
Differences in parameter estimates derived from various methods for the ORYZA (v3) Model
Journal of Integrative Agriculture, 2022 Parameter estimation is always a difficult issue for crop model users, and inaccurate parameter values will result in deceptive model predictions. Parameter values may vary with different inversion methods due to equifinality and differences in the ...
Jun-wei TAN +3 more
doaj +1 more source
Philosophies, 2020 Inspired by the Monty Hall Problem and a popular simple solution to it, we present a number of game-show puzzles that are analogous to the notorious Sleeping Beauty Problem (and variations on it), but much easier to solve.
Michel Janssen, Sergio Pernice
doaj +1 more source
A patient called Medical Research
Biomedical Papers, 2017 We report the case of a patient called Medical Research who presents with multiple life threatening symptoms, including a plethora of false positive results. This paper describes the course of the disease, discusses possible etiologies and offers options
Tomas Furst, Jan Strojil
doaj +1 more source
PLoS ONE, 2022 Rare disease clinical trials are constrained to small sample sizes and may lack placebo-control, leading to challenges in drug development. This paper proposes a Bayesian model-based framework for early go/no-go decision making in rare disease drug ...
Janelle L Lennie +2 more
doaj +1 more source
Comparison of Bayesian and frequentist group-sequential clinical trial designs
BMC Medical Research Methodology, 2020 Background There is a growing interest in the use of Bayesian adaptive designs in late-phase clinical trials. This includes the use of stopping rules based on Bayesian analyses in which the frequentist type I error rate is controlled as in frequentist ...
Nigel Stallard +3 more
doaj +1 more source
Bayesian Quantum Neural Networks
IEEE Access, 2022 The astounding acceleration in Artificial Intelligence and Quantum Computing advances naturally gives rise to a line of research, which unrolls the potential advantages of quantum computing on classical Machine Learning tasks, known as Quantum Machine ...
Nam Nguyen, Kwang-Cheng Chen
doaj +1 more source
Scientific Reports, 2022 Linear mixed effects (LME) modelling under both frequentist and Bayesian frameworks can be used to study longitudinal trajectories. We studied the performance of both frameworks on different dataset configurations using hippocampal volumes from ...
Agnès Pérez-Millan +7 more
doaj +1 more source
Bland–Altman Limits of Agreement from a Bayesian and Frequentist Perspective
Stats, 2021 Bland–Altman agreement analysis has gained widespread application across disciplines, last but not least in health sciences, since its inception in the 1980s.
Oke Gerke, Sören Möller
doaj +1 more source
Scientia Agricola, 2022 A large set of variables is assessed for progeny selection in a plant-breeding program and other agronomic fields. The meta-analysis of the coefficient of variation (CVe) produces information for researchers and breeders on the experimental quality of ...
Maicon Nardino +7 more
doaj +1 more source
Frequentist Post-Data Inference [PDF]
International Statistical Review / Revue Internationale de Statistique, 1995 Summary: The end result of an experiment is an inference, which is typically made after the data have been seen (a post-data inference). Classical frequency theory has evolved around pre-data inferences, those that can be made in the planning stages of an experiment, before data are collected.
Goutis, Constantinos, Casella, George
openaire +1 more source