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- A Tutorial on Safe Anytime-Valid Inference: Practical Maximally Flexible Sampling Designs for Experiments Based on e-Values
- Questionable mediated effect of physical activity on smartphone addiction: A comment on Fu and Wang (2026)
- Same stimuli, different spaces: how task, observer and amount of data influence geometry and reliability of mental representations
- The Road to Liberation is Paved with Threats: A Biopsychosocial Perspective on Minoritized Individuals’ Responses to Hierarchy-Disruptive Social Change
- Blind-spot maps: auditing what a structural equation model’s design could not have detected
- Inconclusive mediated effect of empathy on perceived stress among nurses: A comment on Wang et al. (2026)
- Record-Based Transmuted Pareto Distribution: Properties, Estimation, and Applications to Medical and Hydrological Data
- INDITEK ‐2.0: A Bayesian inverse modelling framework for mechanistic evolutionary processes
- Nonparametric autoregressive estimation of probability distributions with parallel gradient boosting
- Synthetic data for open medical research: what practitioners should know
- Synthetic data for open medical research: current challenges and perspectives
- Parallel gradient boosting for flexible estimation of conditional distributions
- A hybrid approach for building fuzzy numbers based on data and expert knowledge
- Measuring audience experience across 20 showings of the same theatre performance using customer feedback kiosks and a questionnaire
- Assessing the robustness of meta-analyses to variability in the frequency and timing of postoperative delirium assessment – a novel methodological approach
- CohAlign: Predicting the first-order noise susceptibility of gradients in equivariant quantum neural networks
- The latent structure of diversification from relatedness and network embeddings
- The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
- Quantitative Resolvent Calculus for Sample Covariance Matrices
- Where the Data End and the Mechanism Begins: Doubly Robust Causal Digital Twins for Treatment Strategies
- Bayesian Downscaling of Satellite-Derived Solar-Induced Chlorophyll Fluorescence
- Reorganizing Graduate Statistical Inference for Modern Biostatistical Practice
- A Bayesian Copula Dirichlet Process GLM for Longitudinal Data
- Flow-based Spectral Kernel Learning for Nonstationary Attention
- Tag loss models for capture-recapture data without double tagging