Results 71 to 80 of about 363,287 (369)

Pyramid Quantile Regression [PDF]

Journal of Computational and Graphical Statistics, 2019
Quantile regression models provide a wide picture of the conditional distributions of the response variable by capturing the effect of the covariates at different quantile levels. In most applications, the parametric form of those conditional distributions is unknown and varies across the covariate space, so fitting the given quantile levels ...
T. Rodrigues, J.-L. Dortet-Bernadet, Y. Fan   +2 more
openaire   +4 more sources

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks, Anna Wolska, Diala Ghazal, Dejan Jakimovski, Bianca Weinstock‐Guttman, Alexander Burnham, Niels Bergsland, Michael G. Dwyer, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +10 more
wiley   +1 more source

Differential Evolution Algorithm Based on Coupling-Coordination-Based Mutation Strategy

IEEE Access
The differential evolution (DE) algorithm is a heuristic, stochastic, parallel search algorithm. The mutation operation is an integral part of the DE algorithm, relating to the basis and difference among vectors.
Peiyuan Jin, Juxiang Huang, Quanxi Feng, Jianming Cen, Renjie Chu   +4 more
doaj   +1 more source

Asymptotic fisher information in order statistics of geometric distribution [PDF]

Iranian Journal of Numerical Analysis and Optimization, 2009
In this paper, the geometric distribution is considered. The means, variances, and covariances of its order statistics are derived. The Fisher information in any set of order statistics in any distribution can be represented as a sum of Fisher ...
M. Roozbeh, S. M. M. Tabatabaey
doaj   +1 more source

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

Robust Truncated Statistics Constant False Alarm Rate Detection of UAVs Based on Neural Networks

Drones
With the rapid popularity of unmanned aerial vehicles (UAVs), airspace safety is facing tougher challenges, especially for the identification of non-cooperative target UAVs.
Wei Dong, Weidong Zhang
doaj   +1 more source

Modeling Length of Hospital Stay for Patients With COVID-19 in West Sumatra Using Quantile Regression Approach

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021
This study aims to construct the model for the length of hospital stay for patients with COVID-19 using quantile regression and Bayesian quantile approaches.
Ferra Yanuar, Athifa Salsabila Deva, Maiyastri Maiyastri, Hazmira Yozza, Aidinil Zetra   +4 more
doaj   +1 more source

Threshold quantile autoregressive models [PDF]

, 2009
We study in this article threshold quantile autoregressive processes. In particular we propose estimation and inference of the parameters in nonlinear quantile processes when the threshold parameter defining nonlinearities is known for each quantile, and
Galvao Jr, A. F., Montes-Rojas, G., Olmo, J.   +2 more
core  

Computing Quantiles in Markov Reward Models [PDF]

, 2013
Probabilistic model checking mainly concentrates on techniques for reasoning about the probabilities of certain path properties or expected values of certain random variables.
A. Bianco, C. Baier, C.A. Courcoubetis, F. Laroussinie, H. Hansson, K.A. Hansen, L. Alfaro de, L. Alfaro de, N. Pekergin, S. Andova, V. Forejt   +10 more
core   +3 more sources

Quantiles for Counts [PDF]

Journal of the American Statistical Association, 2002
This article studies the estimation of conditional quantiles of counts. Given the discreteness of the data, some smoothness must be artificially imposed on the problem. We show that it is possible to smooth the data in a way that allows inference to be performed using standard quantile regression techniques.
Machado, Jose A F, Santos Silva, Joao M C   +1 more
openaire   +5 more sources