Results 101 to 110 of about 2,509,073 (310)

Nonparametric Bayesian Clay for Robust Decision Bricks

open access: yesStatistical Science, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Robert, Christian P., Rousseau, Judith
openaire   +3 more sources

Fast, Robust, and Versatile Event Detection through HMM Belief State Gradient Measures

open access: yes, 2018
Event detection is a critical feature in data-driven systems as it assists with the identification of nominal and anomalous behavior. Event detection is increasingly relevant in robotics as robots operate with greater autonomy in increasingly ...
Duan, Shuangda   +5 more
core   +1 more source

Targeted Extracellular Vesicles Deliver Asiaticoside to Inhibit AURKB/DRP1‐Mediated Mitochondrial Fission and Attenuate Hypertrophic Scar Formation

open access: yesAdvanced Science, EarlyView.
Hypertrophic scar formation is driven by excessive mitochondrial fission in wound macrophages, which we discover is governed by a novel AURKB‐DRP1(Ser616) axis. The study develops a targeted therapy using cRGD‐decorated extracellular vesicles to deliver the natural compound Asiaticoside specifically to macrophages.
Luyu Li   +8 more
wiley   +1 more source

Moment Restriction-based Econometric Methods: An Overview [PDF]

open access: yes
Moment restriction-based econometric modelling is a broad class which includes the parametric, semiparametric and nonparametric approaches. Moments and conditional moments themselves are nonparametric quantities.
Michael McAleer   +2 more
core  

Hypofractionated Radiotherapy Induces ISG15+MHC‐I+ Neutrophils to Augment Anti‐Tumor Immunity and Prime Immune Checkpoint Blockade Responses in Rectal Cancer

open access: yesAdvanced Science, EarlyView.
ABSTRACT Our previous clinical trials had demonstrated that neoadjuvant hypofractionated radiotherapy (HFRT) combined with immunotherapy yields promising clinical outcomes in locally advanced rectal cancer (LARC). However, this combined modality benefits only a subset of patients, highlighting the need to uncover the mechanisms underlying how ...
Lichao Liu   +12 more
wiley   +1 more source

Identification, Inference and Sensitivity Analysis for Causal Mediation Effects

open access: yes, 2010
Causal mediation analysis is routinely conducted by applied researchers in a variety of disciplines. The goal of such an analysis is to investigate alternative causal mechanisms by examining the roles of intermediate variables that lie in the causal ...
Imai, Kosuke   +2 more
core   +2 more sources

4‐Hydroxybenzyl Alcohol Mitigates Hyperlipidemia‐Associated Depression by Inhibiting Neuroinflammation via the NKIRAS2/NF‐κB Pathway

open access: yesAdvanced Science, EarlyView.
4‐HBA upregulates NKIRAS2 levels, inhibiting the activation of the NF‐κB pathway and subsequently reducing the levels of neuroinflammatory markers. This modulation helps restore normal mood and behavior in hyperlipidemic conditions, providing a potential therapeutic strategy for managing hyperlipidemia‐associated depression.
Ying Zhang   +7 more
wiley   +1 more source

USING A DEA MANAGEMENT TOOLTHROUGH A NONPARAMETRIC APPROACH: AN EXAMINATION OF URBAN-RURAL EFFECTS ON THAI SCHOOL EFFICIENCY

open access: yesInternational Journal of Education Policy and Leadership, 2009
This paper examines urban-rural effects on public upper-secondary school efficiency in northern Thailand. In the study, efficiency was measured by a nonparametric technique, data envelopment analysis (DEA).
SANGCHAN KANTABUTRA
doaj  

Treatment recommendation and parameter estimation under single-index contrast function

open access: yesStatistical Theory and Related Fields, 2017
In this article, we consider a semiparametric model for contrast function which is defined as the conditional expected outcome difference under comparative treatments.
Cui Xiong, Menggang Yu, Jun Shao
doaj   +1 more source

Nonparametric identification of linearizations and uncertainty using Gaussian process models – application to robust wheel slip control [PDF]

open access: yes, 2005
Gaussian process prior models offer a nonparametric approach to modelling unknown nonlinear systems from experimental data. These are flexible models which automatically adapt their model complexity to the available data, and which give not only mean ...
Hansen, J.   +2 more
core  

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