Bayesian model reduction and empirical Bayes for group (DCM) studies
NeuroImage, 2016 This technical note describes some Bayesian procedures for the analysis of group studies that use nonlinear models at the first (within-subject) level – e.g., dynamic causal models – and linear models at subsequent (between-subject) levels.
Karl J. Friston +7 more
semanticscholar +3 more sources
Nrlmsise-00 Empirical Model of the Atmosphere: Statistical Comparisons and Scientific Issues
Journal of Geophysical Research, 2002 J. Picone, A. Hedin, D. Drob, A. Aikin
semanticscholar +3 more sources
Nonlinear Model Reduction via Discrete Empirical Interpolation
SIAM Journal of Scientific Computing, 2010 Saifon Chaturantabut, D. Sorensen
semanticscholar +3 more sources
Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study [PDF]
arXiv.org, 2023 Large Language Models (LLMs), like ChatGPT, have demonstrated vast potential but also introduce challenges related to content constraints and potential misuse.
Yi Liu +8 more
semanticscholar +1 more source
An Empirical Model of Ionospheric Total Electron Content Based on Tide‐Like Signature Modeling
Space Weather, 2023 Accurate modeling of the total electron content (TEC) benefits scientific research and practical application. In this study, the global ionospheric maps from the Center for Orbit Determination of Europe (CODE) covering the years 2000–2021 are utilized to
Haibing Ruan +3 more
doaj +1 more source
An empirical model for protostellar collapse [PDF]
, 2000 We propose a new analytic model for the initial conditions of protostellar collapse in relatively isolated regions of star formation. The model is non-magnetic, and is based on a Plummer-like radial density profile as its initial condition.
Ward-Thompson, D., Whitworth, A. P.
core +2 more sources
Modeling Radiation Belt Electrons With Information Theory Informed Neural Networks
Space Weather, 2022 An empirical model of radiation belt relativistic electrons (μ = 560–875 MeV G−1 and I = 0.088–0.14 RE G0.5) with average energy ∼1.3 MeV is developed. The model inputs solar wind parameters (velocity, density, interplanetary magnetic field (IMF) |B|, Bz,
Simon Wing +6 more
doaj +1 more source
Empirical Model Reduction of Controlled Nonlinear Systems [PDF]
, 1999 In this paper we introduce a new method of model reduction for nonlinear systems with inputs and outputs. The method requires only standard matrix computations, and when applied to linear systems results in the usual balanced truncation. For nonlinear
Glavaški, Sonja +2 more
core +3 more sources
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation [PDF]
IEEE Transactions on Software Engineering, 2023 Unit tests play a key role in ensuring the correctness of software. However, manually creating unit tests is a laborious task, motivating the need for automation.
Max Schäfer +3 more
semanticscholar +1 more source
A New Global Ionospheric Electron Density Model Based on Grid Modeling Method
Space Weather, 2022 Based on nearly 4.6 million radio occultation (RO) ionospheric profile data from Constellation Observing System for Meteorology, Ionosphere, and Climate satellites in 2006–2020, a global three‐dimensional ionospheric electron density model was ...
Huijun Le +5 more
doaj +1 more source