Results 101 to 110 of about 309,663 (301)
Defining Relative Likelihood in Partially-Ordered Preferential Structures
Journal of Artificial Intelligence Research, 1997 Starting with a likelihood or preference order on worlds, we extend it to a likelihood ordering on sets of worlds in a natural way, and examine the resulting logic. Lewis earlier considered such a notion of relative likelihood in the context of studying counterfactuals, but he assumed a total preference order on worlds.
openaire +6 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Testing for Non-nested Conditional Moment Retrictions via Conditional Empirical Likelihood [PDF]
We propose non-nested tests for competing conditional moment resctriction models using a method of empirical likelihood. Our tests are based on the method of conditional empirical likelihood developed by Kitamura, Tripathi and Ahn (2004) and Zhang and ...
Taisuke Otsu, Yoon-Jae Whang
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Effective fault detection in structural health monitoring systems
Advances in Mechanical Engineering, 2019 A new fault detection technique is considered in this article. It is based on kernel partial least squares, exponentially weighted moving average, and generalized likelihood ratio test.
Marwa Chaabane +5 more
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FEBS Letters, EarlyView.CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
Pseudo-partial likelihood for proportional hazards models with biased-sampling data [PDF]
, 2009 We obtain a pseudo-partial likelihood for proportional hazards models with biased-sampling data by embedding the biased-sampling data into left-truncated data.
W. Y. Tsai, Wei Yann Tsai
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InformationThis study explores the characteristics of individual investors in crypto asset markets using machine learning and explainable artificial intelligence (XAI) methods.
Timotej Jagrič +3 more
doaj +1 more source
Partial marginal likelihood estimation for general transformation models
Journal of Multivariate Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Minggao Gu, Yueqin Wu, Bin Huang
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FEBS Letters, EarlyView.Protein aggregates threaten proteostasis and cell health. In human cells, Hsp70–J‐domain protein‐based disaggregases remove aggregates, but how they assemble remains unclear. Our biochemical findings show that DNAJA2‐ and DNAJB1‐containing disaggregase scaffolds enhance luciferase aggregate targeting, and that Hsp70 recruitment by both J‐domain ...
Anna Szlachcic, Nadinath B. Nillegoda
wiley +1 more source
A robust partial least squares method with applications [PDF]
Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Javier Gonzalez +2 more
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