Results 91 to 100 of about 16,851,240 (304)

Non-parametric Latent Modeling and Network Clustering [PDF]

open access: yes, 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 SPLINE MODEL FOR ELECTRICITY DEMAND FORESCASTING UN MODELO SPLINE PARA EL PRONÓSTICO DE LA DEMANDA DE ENERGÍA ELÉCTRICA

open access: yesRevista Colombiana de Estadística, 2007
Our goal is to model, with forecasting aims, the daily electricity demand in a southeast colombian region through a non-parametric regression model implementation. We consider some “calendar variables” such as time of the day, day of the week, month, and
Barrientos Andrés Felipe   +2 more
doaj  

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

open access: yesFEBS 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

Improving Parametric Mortgage Prepayment Models with Non-parametric Kernel Regression [PDF]

open access: yes
Developing a good prepayment model is a central task in the valuation of mortgages and mortgage-backed securities but conventional parametric models often have bad out-of-sample predictive ability.
Michael Marschoun   +2 more
core  

Multivariate Interval-Censored Survival Data: Parametric, Semi-parametric and Non-parametric Models

open access: yes, 2014
Interval censoring means that an event time is only known to lie in an interval (L,R], with L the last examination time before the event, and R the first after.
Philip Hougaard, Hougaard, Philip
core   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

open access: yesFEBS 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

Correlated Non-Parametric Latent Feature Models

open access: yesCoRR, 2012
Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009)
Finale Doshi-Velez, Zoubin Ghahramani
openaire   +3 more sources

New Agricultural Tractor Manufacturer’s Suggested Retail Price (MSRP) Model in Europe

open access: yesAgriculture
Research investigating models for assessing new tractor pricing is notably scarce, despite its fundamental importance in conducting comprehensive cost analyses.
Ivan Herranz-Matey, Luis Ruiz-Garcia
doaj   +1 more source

A non-parametric hidden Markov model for climate state identification [PDF]

open access: yesHydrology and Earth System Sciences, 2003
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assumptions for the state conditional distributions.
M. F. Lambert   +3 more
doaj  

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

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