Results 131 to 140 of about 2,865,465 (299)
Advanced Science, EarlyView.Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
Reconciling output gaps: unobserved components model and Hodrick-Prescott filter
, 2016 This paper reconciles two widely used trend-cycle decompositions of GDP that give markedly different estimates: the correlated unobserved components model yields output gaps that are small in amplitude, whereas the Hodrick-Prescott (HP) filter generates ...
Grant, Angelia L., Chan, Joshua C. C.
core
Adapted SETAR model for lithuanian HCPI time series
Nonlinear Analysis, 2012 We present adapted SETAR (self-exciting threshold autoregressive) model, which enables simultaneous estimation of nonlinearity and unobserved time series components.
Nomeda Bratčikovienė
doaj
BusinessesThis paper examines whether randomized evaluations can fail to identify causal effects when outcomes include interactions between treatment and unobserved characteristics.
Shigeyuki Hamori
doaj +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Advanced Science, EarlyView.Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
New Journal of PhysicsInferring network architecture from partial behavioral observations is central to computational studies of complex systems, with implications for detecting covert actors in terrorist networks, localizing unobserved brain regions, and revealing latent ...
Xiaoxiao Liang +2 more
doaj +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Unobserved Heterogeneity in the Binary Logit Model with Cross-Sectional Data and Short Panels: A Finite Mixture Approach [PDF]
This paper proposes a new approach to dealing with unobserved heterogeneity in applied research using the binary logit model with cross-sectional data and short panels.
Anders Holm +2 more
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Advanced Science, EarlyView.Through AI‐assisted screening from FDA‐approved API to overcome the limitations of bacterial osteomyelitis treatment, glycyrrhizic acid and simvastatin are identified as a multifunctional combination capable of self‐assembling into mechanism‐targeting nanocrystals that effectively neutralize reactive oxygen species, suppress M1 macrophage polarization,
Yu Han +11 more
wiley +1 more source
Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates [PDF]
This paper considers nonparametric identification of nonlinear dynamic models for panel data with unobserved voariates. Including such unobserved covariates may control for both the individual-specific unobserved heterogeneity and the endogeneity of the ...
Ji-Liang Shiu, Yingyao Hu
core