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- Regret Lower Bound for Online Learning of Quantum States with Logarithmic Loss, with Applications to Quantum State Tomography and Confidence Sequences for Matrix Means
- Modeling inhomogeneous spatial point configurations with applications to replicated patterns in real-life waiting crowds
- Dynamic regularized borrowing—an approach for binary outcomes in single‑arm trials
- When Risk Factors Compete: A Machine Learning Approach to Identifying Antecedents of Adolescent Delinquency Across Domains, Development, and Gender
- Classroom Group Meditation and Frontal EEG Power-Envelope Networks: A Large Scale Hyperscanning Study
- Evaluating IMMPACT Criteria for the Clinical Meaningfulness of Between-Group Differences: Interpreting Randomized Trial Results within a Context of Existing Chronic Pain Analgesics.
- SURVEY BEHAVIOR AND COGNITION ACROSS THE LIFE COURSE: EVIDENCE FROM THE PANEL STUDY OF INCOME DYNAMICS.
- Gradient boosting machine for survival prediction in studies with general failure-time outcome-dependent sampling design.
- A Flexible Heavy-Tailed Probability Model for Skewed Positive Data: Theory, Estimation, and Empirical Assessment
- Interannual dynamics and assembly mechanisms of mycoplankton community amid climate disturbances in the Yellow Sea
- On Minimum Divergence for Distribution Reconstruction
- Quand le changement ne suffit pas : Réduction, absorbabilité et identification de la plasticité
- Efficiently Computed Marginal Likelihoods for Multivariate Mixture Models
- Detecting Support Shift in Time Series
- Low-degree polynomials lower bounds for clustering in small dimension
- Extreme change-point detection
- ROOFS: RObust biOmarker Feature Selection
- Towards a unified biology of vertebrate number sense
- Coronary microvascular dysfunction in patients undergoing transcatheter aortic valve implantation: A systematic review and meta-analysis
- The ability of the commercial inertial measurement unit-based gait system in determining Parkinson’s disease: A systematic review with meta-analysis of cross-sectional studies
- Cardiovascular risk prediction models for women: A systematic review protocol
- Post-acute sequelae of COVID-19 (PASC) are associated with distinct clinical phenotypes two years after SARS-CoV-2 infection: A data-driven approach
- Self-compassion, psychological distress, and mental well-being in a predominantly young student sample: Cross-sectional associations and continuous interaction analysis
- Measuring destination image dissonance: A compositional data analysis of cross-media representations in Sanya’s Tourism
- Marking-based load balancing Weighted Clustering Framework for Mobile ADHOC Network