Results 71 to 80 of about 332,602 (334)
State price density estimation via nonparametric mixtures
, 2009 We consider nonparametric estimation of the state price density encapsulated in option prices. Unlike usual density estimation problems, we only observe option prices and their corresponding strike prices rather than samples from the state price density.
Yuan, Ming
core +1 more source
Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment
Aging and Cancer, EarlyView.Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey +12 more
wiley +1 more source
Resilient Cities and StructuresThis paper proposes a set of nonparametric statistical tools for analyzing the system resilience of civil structures and infrastructure and its migration upon changes in critical system parameters.
ZhiQiang Chen, Prativa Sharma
doaj +1 more source
ANALISIS REGRESI NONPARAMETRIK SPLINE MULTIVARIAT UNTUK PEMODELAN INDIKATOR KEMISKINAN DI INDONESIA
E-Jurnal Matematika, 2016 The aim of this study is to obtain statistics models which explain the relationship between variables that influence the poverty indicators in Indonesia using multivariate spline nonparametric regression method.
DESAK AYU WIRI ASTITI +2 more
doaj +1 more source
Co-clustering separately exchangeable network data
, 2014 This article establishes the performance of stochastic blockmodels in addressing the co-clustering problem of partitioning a binary array into subsets, assuming only that the data are generated by a nonparametric process satisfying the condition of ...
Choi, David, Wolfe, Patrick J.
core +1 more source
The fused Kolmogorov filter: A nonparametric model-free screening method [PDF]
, 2015 A new model-free screening method called the fused Kolmogorov filter is proposed for high-dimensional data analysis. This new method is fully nonparametric and can work with many types of covariates and response variables, including continuous, discrete ...
Mai, Qing, Zou, Hui
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Ekonomski Signali, 2017 Rank tests are the most important methods of nonparametric statistics. In the introductory part, there are discussions of parametric and nonparametric metods and as a result of those discussions it is established that the rank tests are one of the most ...
Timotijević Marjana
doaj
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Nonparametric estimation when data on derivatives are available
, 2007 We consider settings where data are available on a nonparametric function and various partial derivatives. Such circumstances arise in practice, for example in the joint estimation of cost and input functions in economics.
Hall, Peter, Yatchew, Adonis
core +1 more source