Nina Deliu

Latest

• Finite-sample and Asymptotic Error Control of a Novel Test for Response-adaptive Designs (Invited Talk @ ICSDS2024)
• Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
• Artificial Intelligence-based Decision Support Systems for Precision and Digital Health
• Anomaly Detection in Multivariate Profiles with Conformal Bayesian Inference (Poster @ COPA2024)
• Online sequential-decision making via bandit algorithms, modeling considerations for better decisions (Invited Talk @ BMS-ANed)
• Finite-sample inference in response-adaptive designs. An application to Thompson sampling (Invited Talk @ SIS2024)
• A Multivariate Copula-based Conformal Bayesian Framework for Doping Detection (Talk @ AUEB-SAW2024)
• Online sequential-decision making via bandit algorithms, modeling considerations for better decisions (Seminar @ Department of Statistics, Padua University)
• Online sequential-decision making via bandit algorithms, modeling considerations for better decisions (Keynote Talk @ ALBECS-2024, 19th International Conference on Persuasive Technology 2024)
• Reinforcement learning for sequential decision-making. From healthcare to finance (Talk @ Sapienza University)
• Thompson sampling for count data in mobile health trials (Invited Talk @ University of Cambridge)
• Incorporating Participants' Welfare into Sequential Multiple Assignment Randomized Trials
• Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
• Modeling considerations when optimizing adaptive experiments under the reinforcement learning framework (Invited Talk @ ICSDS2023)
• Multinomial Thompson sampling for rating scales and prior considerations for calibrating uncertainty
• Informing Users about Data Imputation. Exploring the Design Space for Dealing With Non-Responses
• Reinforcement learning for sequential decision making in population research
• On the finite-sample and asymptotic validity of an allocation-probability test for adaptively-collected data (Invited Talk @ StaTalk2023)
• Enhancing patient outcomes and statistical efficiency in rare-disease phase-II trials. The StratosPHere 2 study (Invited Talk @ Italian Bayesian Day 2023)
• Enhancing patient outcomes and statistical efficiency in rare-disease phase-II trials. The StratosPHere 2 study (Poster @ ISCB2023 - Joint conference with the IBS)
• Efficient Inference Without Trading-off Regret in Bandits. An Allocation Probability Test for Thompson Sampling (Invited Talk @ JSM2023)
• Probabilistic and Distance-based Approaches for Computing Highest-Density Regions (Talk @ EcoSta2023)
• Computing Highest Density Regions with Copulae (Poster @ 13 GdR MEMOTEF)
• Computing Highest Density Regions with Copulae (Talk @ SIS 2023)
• Assessing the predictive accuracy of official-statistics registers. The Global Mean Squared Error measure (Invited Talk @ ITACOSM2023)
• Multiculturality and Interculturality: Qualitative Analysis of the Perspective of Focus Group Participants
• Development of a multivariate Bayesian methodological framework for doping detection using copulae (Talk @ University of Cambridge)
• Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health
• Dynamic Treatment Regimes for Optimizing Healthcare
• Multi-disciplinary fairness considerations in machine learning for clinical trials
• Design-based Inference in Response-Adaptive Randomization with Application to Thompson Sampling (Invited Talk @ 18th Armitage Workshop)