Results 101 to 110 of about 1,494,076 (289)

Robust filters for fault detection: An LMI control setting

open access: yesRevista Técnica de la Facultad de Ingeniería, 2005
Se presenta un método para el diseño de filtros robustos para la detección y el diagnóstico de fallas en sistemas lineales a partir de un post-filtro, el cual se obtiene a través de la síntesis de controladores robustos basados en LMI.
Addison Ríos-Bolívar, Germain García
doaj  

Resistant estimates for high dimensional and functional data based on random projections [PDF]

open access: yes, 2011
We herein propose a new robust estimation method based on random projections that is adaptive and, automatically produces a robust estimate, while enabling easy computations for high or infinite dimensional data.
Fraiman, Ricardo, Svarc, Marcela
core   +1 more source

Model Averaged Double Robust Estimation

open access: yesBiometrics, 2016
Summary Researchers estimating causal effects are increasingly challenged with decisions on how to best control for a potentially high-dimensional set of confounders. Typically, a single propensity score model is chosen and used to adjust for confounding, while the uncertainty surrounding which covariates to include into the propensity ...
Cefalu, Matthew   +3 more
openaire   +4 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

The Use of the Robust GREG Estimator to Estimate Small Trade Firms

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2018
In the face of dynamic changes in the economy, there is a growing demand for multivariate statistics for cross‑classified domains. In economic statistics, this demand poses a particular challenge owing to the unique character of the population of ...
Grażyna Dehnel
doaj   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

open access: yesMolecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen   +11 more
wiley   +1 more source

Robust Stereo Visual Odometry Using Improved RANSAC-Based Methods for Mobile Robot Localization

open access: yesSensors, 2017
In this paper, we present a novel approach for stereo visual odometry with robust motion estimation that is faster and more accurate than standard RANSAC (Random Sample Consensus).
Yanqing Liu   +3 more
doaj   +1 more source

Analysis of the optimal size of the government consumption [PDF]

open access: yes
The aim of this paper is to investigate the size of the government in 12 OECD countries. Data are gathered from Penn Tables. Clustered robust OLS estimation techniques have been used.
Josheski, Dushko   +2 more
core   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

A Smoothed Three-Part Redescending M-Estimator

open access: yesStats
A smoothed M-estimator is derived from Hampel’s three-part redescending estimator for location and scale. The estimator is shown to be weakly continuous and Fréchet differentiable in the neighbourhood of the normal distribution.
Alistair J. Martin, Brenton R. Clarke
doaj   +1 more source

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