Bayesian statistics and modelling
Bayesian statistics is an approach to data analysis based on Bayes' theorem, where
available knowledge about parameters in a statistical model is updated with the information …
available knowledge about parameters in a statistical model is updated with the information …
Bayesian analysis reporting guidelines
JK Kruschke - Nature human behaviour, 2021 - nature.com
Previous surveys of the literature have shown that reports of statistical analyses often lack
important information, causing lack of transparency and failure of reproducibility. Editors and …
important information, causing lack of transparency and failure of reproducibility. Editors and …
Building eco-surplus culture among urban residents as a novel strategy to improve finance for conservation in protected areas
The rapidly declining biosphere integrity, representing one of the core planetary boundaries,
is alarming. In particular, the global numbers of mammals, birds, fishes, and plants declined …
is alarming. In particular, the global numbers of mammals, birds, fishes, and plants declined …
[图书][B] Violence against women prevalence estimates, 2018: global, regional and national prevalence estimates for intimate partner violence against women and …
World Health Organization - 2021 - books.google.com
This report is based on an analysis of available prevalence data from surveys and studies
conducted between 2000 and 2018, obtained through a systematic and comprehensive …
conducted between 2000 and 2018, obtained through a systematic and comprehensive …
[HTML][HTML] Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research
Abstract The paper introduces Bayesian Mindsponge Framework (BMF) analytics, a new
analytical tool for investigating socio, psychological, and behavioral phenomena. The …
analytical tool for investigating socio, psychological, and behavioral phenomena. The …
Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math
EJ Theobald, MJ Hill, E Tran… - Proceedings of the …, 2020 - National Acad Sciences
We tested the hypothesis that underrepresented students in active-learning classrooms
experience narrower achievement gaps than underrepresented students in traditional …
experience narrower achievement gaps than underrepresented students in traditional …
Reconstruction of the full transmission dynamics of COVID-19 in Wuhan
As countries in the world review interventions for containing the pandemic of coronavirus
disease 2019 (COVID-19), important lessons can be drawn from the study of the full …
disease 2019 (COVID-19), important lessons can be drawn from the study of the full …
Rank-normalization, folding, and localization: An improved R ̂ for assessing convergence of MCMC (with discussion)
Abstract Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it
can be challenging to monitor the convergence of an iterative stochastic algorithm. In this …
can be challenging to monitor the convergence of an iterative stochastic algorithm. In this …
Cobaya: Code for Bayesian Analysis of hierarchical physical models
J Torrado, A Lewis - Journal of Cosmology and Astroparticle …, 2021 - iopscience.iop.org
We present, a general-purpose Bayesian analysis code aimed at models with complex
internal interdependencies. Without the need for specific code by the user …
internal interdependencies. Without the need for specific code by the user …
[HTML][HTML] Exercise training and resting blood pressure: a large-scale pairwise and network meta-analysis of randomised controlled trials
JJ Edwards, AHP Deenmamode, M Griffiths… - British journal of sports …, 2023 - bjsm.bmj.com
Objective To perform a large-scale pairwise and network meta-analysis on the effects of all
relevant exercise training modes on resting blood pressure to establish optimal …
relevant exercise training modes on resting blood pressure to establish optimal …