Results 131 to 140 of about 560 (193)
Model‐Agnostic Influential Outlier Metric
ABSTRACT The influential outlier metric (IOM) provides model‐agnostic influential outlier detection. We define influence of an observation using a combination of SHapley Additive exPlanation (SHAP) values and the residual. Both are transformed using normalizing flows, changing their respective measures to Gaussian distributions.
Colin C. Jones, David A. Campbell
wiley +1 more source
ABSTRACT A possibly time‐dependent transition intensity matrix or generator (Q(t))$$ \left(Q(t)\right) $$ characterizes the law of a Markov jump process (MP). For a time‐homogeneous MP, the transition probability matrix (TPM) can be expressed as a matrix exponential of Q$$ Q $$.
Dario Gasbarra +2 more
wiley +1 more source
JKO schemes with general transport costs. [PDF]
Rankin C, Wong TL.
europepmc +1 more source
Surface subgroups for cocompact lattices of isometries of H2n$\mathbb {H}^{2n}$
Abstract We prove the existence of surface subgroups within any cocompact lattice Γ$\Gamma$ in SO(2n,1)$\mathrm{SO}(2n,1)$ for n⩾2$n\geqslant 2$. This result addresses the cases missing from the work of Hamenstädt in 2015, who constructed surface subgroups in cocompact lattices for all other rank‐1 simple Lie groups of noncompact type.
Jeremy Kahn, Zhenghao Rao
wiley +1 more source
MAXIMUM LIKELIHOOD FOR HIGH-NOISE GROUP ORBIT ESTIMATION AND SINGLE-PARTICLE CRYO-EM. [PDF]
Fan Z +4 more
europepmc +1 more source
Abstract INTRODUCTION Alzheimer's disease neuropathologic change (ADNC) and limbic‐predominant age‐related transactive response DNA‐binding protein 43 kDa (TDP‐43) encephalopathy neuropathologic change (LATENC) are common in older adults, yet differences in brain morphometry patterns when one or both pathologies are present remain unclear.
Khalid Saifullah +7 more
wiley +1 more source
Controllability of nonlinear epileptic-seizure spreading dynamics in large-scale subject-specific brain networks. [PDF]
Moosavi SA, Feldman JS, Truccolo W.
europepmc +1 more source
Development of Design‐Phase Digital Twin for Structural Optimization of a Biomedical Device
A digital twin optimized the structural performance of a multi‐component biomedical device interface by 75%. The work shows that wider adoption of digital twins can accelerate safer, more predictive medical device development across design, verification, and optimization stages.
Tanguy René Pinol +3 more
wiley +1 more source
Extrinsic variability but not intrinsic variability affects the search for synergies in de-novo motor learning. [PDF]
Mehta A +3 more
europepmc +1 more source

