Results 81 to 90 of about 16,361 (164)
A Cautionary Tale of Model Misspecification and Identifiability
Mathematical models are routinely applied to interpret biological data, with common goals that include both prediction and parameter estimation. A challenge in mathematical biology, in particular, is that models are often complex and non-identifiable, while data are limited.
Alexander P. Browning +2 more
openaire +3 more sources
Using recurrent neural network to estimate irreducible stochasticity in human choice behavior
Theoretical computational models are widely used to describe latent cognitive processes. However, these models do not equally explain data across participants, with some individuals showing a bigger predictive gap than others.
Yoav Ger, Moni Shahar, Nitzan Shahar
doaj +1 more source
Species distribution models (SDMs) have been widely used in ecology to understand how species relate to environmental variation. Most SDMs are correlative, and they lack explicit reference to the underlying processes, and therefore, the reliability of ...
Jukka Sirén +2 more
doaj +1 more source
Robust discovery of mutational signatures using power posteriors. [PDF]
Xue C, Miller JW, Carter SL, Huggins JH.
europepmc +1 more source
Robust Estimation of Polyserial Correlation Coefficients: A Density Power Divergence Approach. [PDF]
Welz M.
europepmc +1 more source
A review and evaluation of doubly robust approaches for estimating average treatment effects. [PDF]
Zhang J, Lüdtke O, Robitzsch A.
europepmc +1 more source
Estimation of combined treatment effects by restricted mean survival time. [PDF]
Alger E, Robertson DS, Burdon AJ.
europepmc +1 more source
Comparing data assimilation and likelihood-based inference on latent state estimation in agent-based models. [PDF]
Kolic B +3 more
europepmc +1 more source
Estimating fMRI timescale maps. [PDF]
Riegner G +3 more
europepmc +1 more source

