Results 51 to 60 of about 666,395 (290)

Finding the set of k-additive dominating measures viewed as a flow problem [PDF]

, 2016
n this paper we deal with the problem of obtaining the set of k-additive measures dominating a fuzzy measure. This problem extends the problem of deriving the set of probabilities dominating a fuzzy measure, an important problem appearing in Decision ...
A Chateauneuf, AP Dempster, D Gale, G Choquet, G Shafer, JC Harsanyi, LS Shapley, M Grabisch, M Grabisch, M Grabisch, M Grabisch, M Wolfenson, O Bondareva, P Miranda, P Miranda, P Miranda, P Miranda, P Miranda, P Miranda, P Walley, T Driessen, T Ichiishi   +21 more
core   +2 more sources

Dependence Measure for non-additive model

, 2013
We proposed a new statistical dependency measure called Copula Dependency Coefficient(CDC) for two sets of variables based on copula. It is robust to outliers, easy to implement, powerful and appropriate to high-dimensional variables. These properties are important in many applications.
Jiang, Hangjin, Ding, Yiming
openaire   +2 more sources

Potential Early Risk Biomarkers for Reduced Forced Expiratory Volume in Children Post‐Hematopoietic Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small, Pi Chun Cheng, April L. Rahrig, Courtney M. Rowan   +3 more
wiley   +1 more source

Calibrated X-ray computed tomography for testing micro-scale pore defect in metallic powder particles for additive manufacturing

Measurement: Sensors, 2021
In this paper, a non-destructive X-ray computed tomography (XCT) was introduced to measure hidden pore defects inside metallic powder used in additive manufacturing.
Shihua Wang, Baoxi Xu
doaj   +1 more source

Hitting Probabilities for Systems of Non-Linear Stochastic Heat Equations with Additive Noise [PDF]

, 2007
We consider a system of $d$ coupled non-linear stochastic heat equations in spatial dimension 1 driven by $d$-dimensional additive space-time white noise.
Dalang, Robert C., Khoshnevisan, Davar, Nualart, Eulalia   +2 more
core   +1 more source

Divergence Measure Between Chaotic Attractors

, 2000
We propose a measure of divergence of probability distributions for quantifying the dissimilarity of two chaotic attractors. This measure is defined in terms of a generalized entropy.
A. Rényi, A.M. Albano, C. Diks, C. E. Shannon, C. Tsallis, H. D. I. Abarbanel, H. Kantz, H. Kantz, I. Csiszár, J. Theiler, L. Diambra, M. E. Havrda, P. Grassberger, P. Grassberger, R. Manuca, S. Kullback, T. Schreiber, T. Schreiber   +17 more
core   +2 more sources

On Poisson–Tweedie mixtures [PDF]

, 2017
Poisson-Tweedie mixtures are the Poisson mixtures for which the mixing measure is generated by those members of the family of Tweedie distributions whose support is non-negative.
Paris, Richard B., Vinogradov, Vladimir V.   +1 more
core   +3 more sources

Personalizing the Pediatric Hematology/Oncology Fellowship: Adapting Training for the Next Generation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein, Melissa J. Rose, Scott Moerdler, Richard Ho   +3 more
wiley   +1 more source

The Consistency and Complexity of Multiplicative Additive System Virtual [PDF]

Scientific Annals of Computer Science, 2015
This paper investigates the proof theory of multiplicative additive system virtual (MAV). MAV combines two established proof calculi: multiplicative additive linear logic (MALL) and basic system virtual (BV).
R. Horne
doaj   +1 more source

Ergodicity of Stochastic Differential Equations Driven by Fractional Brownian Motion [PDF]

, 2003
We study the ergodic properties of finite-dimensional systems of SDEs driven by non-degenerate additive fractional Brownian motion with arbitrary Hurst parameter $H\in(0,1)$.
Hairer, Martin
core   +4 more sources