Results 71 to 80 of about 17,207,506 (302)
A non-parametric investigation of risk premia [PDF]
This paper investigates features of credit risk using non-parametric techniques, studying determinants of risk premia using a non-parametric term-structure model of the corporate spread. The model, which measures the extra return of defaultable corporate
Peroni, Chiara
core +2 more sources
Non-parametric Latent Modeling and Network Clustering [PDF]
, 2020 The paper exposes a non-parametric approach to latent and co-latent modeling of bivariate data, based upon alternating minimization of the Kullback-Leibler divergence (EM algorithm) for complete log-linear models. For categorical data, the iterative algorithm generates a soft clustering of both rows and columns of the contingency table.
openaire +2 more sources
A non-parametric electrode model for intracellular recording [PDF]
Neurocomputing, 2007 We present a new way to model the response of an electrode to an injected current. The electrode is represented by an unknown complex linear circuit, characterized by a kernel which we determine by injecting a noisy current. We show both in simulations and experiments that, when applied to a full recording setup (including acquisition board and ...
Brette, R. +4 more
openaire +3 more sources
Classification rates: non‐parametric verses parametric models using binary data [PDF]
, 2015 Estimations of the conditional mean and the marginal effects for particular small changes in the covariates have been of interest in financial, economics and even educational sectors.
Otieno, RO, Gichuhi, AW, Adem, AO
core +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Big Data and Cognitive Computing, 2020 YouTube is a boon, and through it people can educate, entertain, and express themselves about various topics. YouTube India currently has millions of active users.
Sonali Rajesh Shah +3 more
doaj +1 more source
Scene Parsing With Integration of Parametric and Non-Parametric Models [PDF]
IEEE Transactions on Image Processing, 2016 13 Pages, 6 figures, IEEE Transactions on Image Processing (T-IP ...
Bing Shuai +3 more
openaire +6 more sources
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Bayesian Non-Parametric Inference for Multivariate Peaks-over-Threshold Models
EntropyWe consider a constructive definition of the multivariate Pareto that factorizes the random vector into a radial component and an independent angular component. The former follows a univariate Pareto distribution, and the latter is defined on the surface
Peter Trubey, Bruno Sansó
doaj +1 more source
FEBS Letters, EarlyView.Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
wiley +1 more source