Results 61 to 70 of about 2,509,073 (310)

Nonparametric Estimation of the Tail-Dependence Coefficient

Revstat Statistical Journal, 2013
A common measure of tail dependence is the so-called tail-dependence coefficient. We present a nonparametric estimator of the tail-dependence coefficient and prove its strong consistency and asymptotic normality in the case of known marginal ...
Marta Ferreira
doaj   +1 more source

Nonparametric Bayesian multiple testing for longitudinal performance stratification

, 2010
This paper describes a framework for flexible multiple hypothesis testing of autoregressive time series. The modeling approach is Bayesian, though a blend of frequentist and Bayesian reasoning is used to evaluate procedures.
Scott, James G.
core   +1 more source

Terror attacks and stock-market fluctuations: evidence based on a nonparametric causality-in-quantiles test for the G7 countries

, 2016
We use a novel nonparametric causality-in-quantiles test to study the effects of terror attacks on stock-market returns and volatility in G7 countries. We also use the novel test to study the international repercussions of terror attacks.
M. Balcılar, Rangan Gupta, Christian Pierdzioch, M. Wohar   +3 more
semanticscholar   +1 more source

CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang, Yujie Liu, Fei Li, Xuelin Li, Lanlan Li, Jie Zhang, Yali Xu   +6 more
wiley   +1 more source

Causal additive models with smooth backfitting

Journal of Causal Inference
A fully nonparametric approach to learning causal structures from observational data is proposed. The method is described in the setting of additive structural equation models with a link to causal inference.
Morville Asger B., Park Byeong U.
doaj   +1 more source

Robustness in Bayesian nonparametrics

International Journal of Approximate Reasoning, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Degradation modeling applied to residual lifetime prediction using functional data analysis

, 2011
Sensor-based degradation signals measure the accumulation of damage of an engineering system using sensor technology. Degradation signals can be used to estimate, for example, the distribution of the remaining life of partially degraded systems and/or ...
Gebraeel, Nagi, Serban, Nicoleta, Zhou, Rensheng R.   +2 more
core   +1 more source

Exploring Patients’ Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial

Arthritis Care &Research, EarlyView.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart, Laurène Norberciak, Pascal Richette, Pierre Robinet, Aurore Pacaud, Gauthier Marchasson, Thibault Rabin, Hélène Luraschi, Pierre Maciejasz, Anne‐France Georgel, Augustin Latourte, Hang‐Korng Ea, Sébastien Ottaviani, Charlotte Jauffret, Vincent Ducoulombier   +14 more
wiley   +1 more source

Clinical Outcomes of Patients Within the Rheumatoid Arthritis Care Pathway Cohort at a Tertiary Care Integrated Delivery Network: A Comparison to Usual Care

Arthritis Care &Research, EarlyView.
Objective We aimed to compare clinical outcomes between patients in the Allegheny Health Network rheumatoid arthritis (RA) care pathway and patients receiving usual care. Methods The care pathway initiative implements guideline‐based best practice alongside multidisciplinary team‐based care.
Tarun Sharma, Tyson S. Barrett, Teigan Dwyer, Nancy Campbell, Jessica Heintzinger, Ellen Kraemer, Adam Dore, Susan Manzi   +7 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source