Game-theoretic statistics and safe anytime-valid inference
Safe anytime-valid inference (SAVI) provides measures of statistical evidence and certainty—
e-processes for testing and confidence sequences for estimation—that remain valid at all …
e-processes for testing and confidence sequences for estimation—that remain valid at all …
Estimation for better inference in neuroscience
RJ Calin-Jageman, G Cumming - Eneuro, 2019 - eneuro.org
The estimation approach to inference emphasizes reporting effect sizes with expressions of
uncertainty (interval estimates). In this perspective we explain the estimation approach and …
uncertainty (interval estimates). In this perspective we explain the estimation approach and …
[HTML][HTML] History and nature of the Jeffreys–Lindley paradox
EJ Wagenmakers, A Ly - Archive for History of Exact Sciences, 2023 - Springer
Abstract The Jeffreys–Lindley paradox exposes a rift between Bayesian and frequentist
hypothesis testing that strikes at the heart of statistical inference. Contrary to what most …
hypothesis testing that strikes at the heart of statistical inference. Contrary to what most …
[HTML][HTML] Bayesian Hodges-Lehmann tests for statistical equivalence in the two-sample setting: Power analysis, type I error rates and equivalence boundary selection …
R Kelter - BMC Medical Research Methodology, 2021 - Springer
Background Null hypothesis significance testing (NHST) is among the most frequently
employed methods in the biomedical sciences. However, the problems of NHST and p …
employed methods in the biomedical sciences. However, the problems of NHST and p …
Advantages masquerading as “issues” in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019).
D van Ravenzwaaij, EJ Wagenmakers - 2022 - psycnet.apa.org
Tendeiro and Kiers (2019) provide a detailed and scholarly critique of Null Hypothesis
Bayesian Testing (NHBT) and its central component—the Bayes factor—that allows …
Bayesian Testing (NHBT) and its central component—the Bayes factor—that allows …
The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation
R Kelter - British Journal of Mathematical and Statistical …, 2022 - Wiley Online Library
Interval estimation is one of the most frequently used methods in statistical science,
employed to provide a range of credible values a parameter is located in after taking into …
employed to provide a range of credible values a parameter is located in after taking into …
Simulation studies as a tool to understand Bayes factors
D van Ravenzwaaij, A Etz - Advances in Methods and …, 2021 - journals.sagepub.com
When social scientists wish to learn about an empirical phenomenon, they perform an
experiment. When they wish to learn about a complex numerical phenomenon, they can …
experiment. When they wish to learn about a complex numerical phenomenon, they can …
Anytime-valid inference for multinomial count data
Many experiments compare count outcomes among treatment groups. Examples include the
number of successful signups in conversion rate experiments or the number of errors …
number of successful signups in conversion rate experiments or the number of errors …
Evidential calibration of confidence intervals
We present a novel and easy-to-use method for calibrating error-rate based confidence
intervals to evidence-based support intervals. Support intervals are obtained from inverting …
intervals to evidence-based support intervals. Support intervals are obtained from inverting …
[HTML][HTML] Screen time vs. scream time: Developmental interrelations between young children's screen time, negative affect, and effortful control
V Brauchli, P Edelsbrunner, RP Castro, R Barr… - Computers in Human …, 2024 - Elsevier
This study aimed to examine developmental relations of screen time, negative affect and
effortful control in children aged 12–36 months. Parents of 462 children up to 3 years of age …
effortful control in children aged 12–36 months. Parents of 462 children up to 3 years of age …