The Non-Gaussian Universe: Advanced Statistical Inference in the Era of Next-Generation Cosmological Surveys
Dougalis room
Heraklion, Greece
The era of Euclid, LSST, and SKA heralds a profound transformation in observational cosmology. As surveys approach the limits set by cosmic variance and systematic control, extracting maximal information from the cosmic density field demands a fundamental rethinking of how we perform cosmological inference. Traditional two-point statistics, while powerful, capture only a fraction of the information encoded in the nonlinear, non-Gaussian Universe.
This conference explores the emerging paradigm of full-information cosmology, bringing together approaches that move beyond the power spectrum, including high-order statistics, field-level inference, forward modeling, and simulation-based methods. By uniting developments across theory, simulations, and data analysis, the meeting aims to illuminate new pathways toward unbiased, robust, and information-optimal inference, and to define the statistical foundations of cosmology in the era of next-generation surveys.
SOC: Jean-Luc Starck, Natalia Porqueres, Panos Tsakalides, Greg Tsagkatakis, Klea Panayidou