Results 91 to 100 of about 1,476,983 (297)
Omnipredicting Single-Index Models with Multi-index Models
Proceedings of the 57th Annual ACM Symposium on Theory of ComputingRecent work on supervised learning [GKR+22] defined the notion of omnipredictors, i.e., predictor functions $p$ over features that are simultaneously competitive for minimizing a family of loss functions $\mathcal{L}$ against a comparator class $\mathcal{C}$. Omniprediction requires approximating the Bayes-optimal predictor beyond the loss minimization
Lunjia Hu, Kevin Tian, Chutong Yang
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Estimation for a partial-linear single-index model
The Annals of Statistics, 2010 In this paper, we study the estimation for a partial-linear single-index model. A two-stage estimation procedure is proposed to estimate the link function for the single index and the parameters in the single index, as well as the parameters in the linear component of the model. Asymptotic normality is established for both parametric components.
Wang, Jane-Ling +3 more
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Topics in Partially Linear Single-Index Models for Longitudinal Data [PDF]
, 2020 The partially linear single-index model is a semiparametric model proposed to the case when some predictors are linearly associated with the response variable, while some other predictors are nonlinearly associated with the response variable.
Cai, Quan
core
FEBS Letters, EarlyView.Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes +4 more
wiley +1 more source
Semiparametric models with single-index nuisance parameters [PDF]
Journal of Econometrics, 2014 In many semiparametric models, the parameter of interest is identified through conditional expectations, where the conditioning variable involves a single-index that is estimated in the first step. Among the examples are sample selection models and propensity score matching estimators.
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Tau acetylation at K331 has limited impact on tau pathology in vivo
FEBS Letters, EarlyView.We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
SILVar: Single Index Latent Variable Models
IEEE Transactions on Signal Processing, 2018 Print ISSN: 1053-587X Online ISSN: 1941-0476, IEEE Transactions on Signal Processing, online March 21 ...
Jonathan Mei, José M. F. Moura
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Leverage Sampling for Single-Index Models
, 2021 In this thesis, a generalized leverage-based sub-sampling method for single-index models is proposed. The approach gives more efficient estimators than random sub-samples of the same size.
Almutairi, Basmah
core
Calpain small subunit homodimerization is robust and calcium‐independent
FEBS Letters, EarlyView.Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
Single-index models with functional connectivity network predictors. [PDF]
Biostatistics, 2022 Weaver C, Xiao L, Lindquist MA.
europepmc +1 more source