Results 121 to 130 of about 160,958 (306)
A Logic for Default Reasoning About Probabilities [PDF]
Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)
openaire +4 more sources
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng +6 more
wiley +1 more source
Applying default probabilities in an exponential barrier structural model [PDF]
This paper shows that the use of a time-dependant barrier in a structural model improve its flexibility because it allows to incorporate, as input, the probability of default. The main result achieved is the assessment that the default barrier is, indeed,
Enrico Moretto, Arianna Agosto
core
Single‐cell and spatial profiling of 110 human thoracic aortic samples reveals a stromal–immune circuit driving aortic dissection. An elastin‐rich fibroblast subset is depleted with age and markedly reduced in disease, weakening aortic wall integrity.
Jing Tao +25 more
wiley +1 more source
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu +8 more
wiley +1 more source
In renal calcium oxalate stone formation, G6PC downregulation leads to lactate accumulation. This lactate mediates CBP/p300‐dependent lactylation of SNAIL1 at K206, promoting its nuclear translocation. Nuclear SNAIL1 activates the TGF‐β/SMAD3 pathway, driving epithelial‐mesenchymal transition and fibrosis, which ultimately facilitates crystal ...
Kai Liu +16 more
wiley +1 more source
Pitfalls in modeling loss given default of bank loans [PDF]
The parameter loss given default (LGD) of loans plays a crucial role for risk-based decision making of banks including risk-adjusted pricing. Depending on the quality of the estimation of LGDs, banks can gain significant competitive advantage.
Gürtler, Marc, Hibbeln, Martin
core
Objective Bayesian Estimation of the Probability of Default
SummaryReliable estimation of the probability of default (PD) of a customer is one of the most important tasks in credit risk modelling for banks applying the internal ratings-based approach under the Basel II–III framework. Motivated by the desire to analyse reliably a low default portfolio of non-profit housing companies, we consider PD estimation ...
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Hollow Co3O4/TiO2 heterojunctions are engineered for high‐throughput laser desorption/ionization mass spectrometry. The built‐in electric field drives efficient charge separation and photothermal conversion, while the hierarchical mesoporous network enables robust salt and protein tolerance.
Junyu Chen +8 more
wiley +1 more source
Bayesian default probability models [PDF]
This paper proposes a methodology for default probability estimation for low default portfolios, where the statistical inference may become troublesome. The author suggests using logistic regression models with the Bayesian estimation of parameters.
Andrlíková, Petra
core

