Results 61 to 70 of about 168,974 (306)

Multivariate Discriminant Analysis and Maximum Penalized Likelihood Density Estimation

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995
SUMMARY A new theoretical point of view is discussed in the framework of density estimation. The multivariate true density, viewed as a prior or penalizing factor in a Bayesian framework, is modelled by a Gibbs potential. Estimating the density consists in maximizing the posterior.
Rasson, Jean-Paul, Granville, Vincent
openaire   +3 more sources

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Adolescent brain maturation associated with environmental factors: a multivariate analysis

Frontiers in Neuroimaging
Human adolescence marks a crucial phase of extensive brain development, highly susceptible to environmental influences. Employing brain age estimation to assess individual brain aging, we categorized individuals (N = 7,435, aged 9–10 years old) from the ...
Bhaskar Ray, Dawn Jensen, Pranav Suresh, Bishal Thapaliya, Ram Sapkota, Britny Farahdel, Z. Fu, Jiayu Chen, V. Calhoun, Jingyu Liu   +9 more
semanticscholar   +1 more source

Exploring Mean Annual Precipitation Values (2003–2012) in a Specific Area (36°N–43°N, 113°E–120°E) Using Meteorological, Elevational, and the Nearest Distance to Coastline Variables

Advances in Meteorology, 2016
Gathering very accurate spatially explicit data related to the distribution of mean annual precipitation is required when laying the groundwork for the prevention and mitigation of water-related disasters.
Fushen Zhang, Zhitao Yang, Shaobo Zhong, Quanyi Huang   +3 more
doaj   +1 more source

Application of Medical Statistical and Machine Learning Methods in the Age Estimation of Living Individuals [PDF]

Fayixue Zazhi
In the study of age estimation in living individuals, a lot of data needs to be analyzed by mathematical statistics, and reasonable medical statistical methods play an important role in data design and analysis.
Dan-yang LI, Yu PAN, Hui-ming ZHOU, Lei WAN, Cheng-tao LI, Mao-wen WANG, Ya-hui WANG
doaj   +1 more source

Multivariable adaptive parameter and state estimators with convergence analysis [PDF]

The Journal of the Australian Mathematical Society. Series B. Applied Mathematics, 1979
AbstractThe convergence properties of a very general class of adaptive recursive algorithms for the identification of discrete-time linear signal models are studied for the stochastic case using martingale convergence theorems. The class of algorithms specializes to a number of known output error algorithms (also called model reference adaptive schemes)
Moore, J. B., Ledwich, G.
openaire   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R

Journal of Statistical Software, 2007
Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing.
Tarn Duong
doaj  

Sum and Product of Multivariate Fox-H Functions: Exact Analysis for RIS-Assisted System Over Rician Fading With Imperfect CSI

IEEE Open Journal of the Communications Society
Existing performance analysis of wireless systems based on reconfigurable intelligent surfaces (RIS) over fading channels has primarily focused on providing statistical insights into the sum and product of random variables, typically represented as a ...
Vinay Kumar Chapala, S. M. Zafaruddin
doaj   +1 more source

Multivariate Tail Coefficients: Properties and Estimation

Entropy, 2020
Multivariate tail coefficients are an important tool when investigating dependencies between extreme events for different components of a random vector.
Irène Gijbels, Vojtěch Kika, Marek Omelka   +2 more
doaj   +1 more source