Results 31 to 40 of about 34,617 (237)
Frequentist and Bayesian Quantum Phase Estimation
Entropy, 2018 Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter.
Yan Li +5 more
doaj +1 more source
AIChE Journal, EarlyView.Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia +4 more
wiley +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
On the uniqueness of probability matching priors [PDF]
, 2007 Probability matching priors are priors for which Bayesian and frequentist inference, in the form of posterior quantiles, or confidence intervals, agree to some order of approximation.
Staicu, A-M, Reid, N, Reid, Nancy
core
British Journal of Clinical Pharmacology, EarlyView.Aim Metabolic liver disease, including nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis, is a major cause of chronic liver dysfunction worldwide, creating an urgent need for effective treatments. This systematic literature review (SLR) and network meta‐analysis (NMA) systematically reviews and compares the efficacy and safety ...
Andrej Belančić +8 more
wiley +1 more source
Nonparametric maximum likelihood estimation of the survival function using current lifetime data
Canadian Journal of Statistics, EarlyView.Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley +1 more source
BMC Medical Research Methodology, 2009 Background The problem of silent multiple comparisons is one of the most difficult statistical problems faced by scientists. It is a particular problem for investigating a one-off cancer cluster reported to a health department because any one of hundreds,
Wills Rachael A +2 more
doaj +1 more source
Homophily‐adjusted social influence estimation
Canadian Journal of Statistics, EarlyView.Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley +1 more source
Objective Bayesian fMRI analysis - a pilot study in different clinical environments
Frontiers in Neuroscience, 2015 Functional MRI (fMRI) used for neurosurgical planning delineates functionally eloquent brain areas by time-series analysis of task-induced BOLD signal changes. Commonly used frequentist statistics protect against false positive results based on a p-value
Joerg eMagerkurth +15 more
doaj +1 more source
PLoS Computational Biology, 2022 A major limitation of gene expression biomarker studies is that they are not reproducible as they simply do not generalize to larger, real-world, heterogeneous populations.
Laurynas Kalesinskas +2 more
doaj +1 more source