The goal of neurogam is to provide utilities for estimating the onset and offset of time-resolved effects, such as those found in M/EEG, pupillometry, or finger/mouse-tracking data (amongst others).
Background Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) is a leading quantitative approach for intersectionality-informed health research, but most applications ...
Analyzing over-time dyadic data can be challenging, particularly when using multilevel models with complex random-effect structures. This tutorial lays out the best practices of model specification ...
Powered by advanced factor research and daily refreshed data, Bloomberg’s MAC3 Risk Model transforms how investors see and manage risk in a multi-asset world. Bloomberg MAC3 gives investors a unified ...
ABSTRACT: The concept of a cashless society has emerged as a prominent research subject, with scholars exploring its advantages and disadvantages extensively. A review of the existing literature ...
Mirabilis Design’s VisualSim offers model-based design creation and simulation for application spaces from chip design to automotive applications. Mirabilis Design’s founder, Deepak Sankar, talked to ...
Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. The authors reduce uncertainties in TAK-003 vaccine efficacy ...
San Diego-based startup FutureProof is using artificial intelligence (AI) to change the way insurers assess catastrophe risk and set premiums, a shift that could make insurance both more affordable ...
Abstract: Accurately predicting pedestrian intentions is a critical task for enhancing pedestrian safety in intelligent transportation systems, particularly in 6G-driven complex dynamic urban ...
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