Results 61 to 70 of about 1,207 (171)

Genotype‐By‐Environment Interaction for Scrotal Circumference in Young Nellore Bulls Under Pasture and Feedlot Conditions and Its Correlation With Days to Calving

Animal Genetics, Volume 57, Issue 2, April 2026.
ABSTRACT Scrotal circumference (SC) is a key reproductive indicator in beef cattle and an important predictor of male puberty and correlated female fertility. In this study, we evaluated young Nellore bulls raised under combinations of pasture and feedlot environments and modeled SC using a “double” reaction norm model. Additive genetic variance for SC
Christiane A. Silva, Annaiza B. Bignardi, Joslaine N. S. G. Cyrillo, Maria E. Z. Mercadante, Mário L. Santana   +4 more
wiley   +1 more source

The Matsumoto–Yor property and the structure of the Wishart distribution

, 2006
This paper establishes a link between a generalized matrix Matsumoto–Yor (MY) property and the Wishart distribution. This link highlights certain conditional independence properties within blocks of the Wishart and leads to a new characterization of the ...
Massam, Hélène, Wesołowski, Jacek
core   +1 more source

Predictive distributions of random variables following a multivariate Gaussian distribution with Normal Inverse Wishart prior

, 2021
The Gaussian distribution is a popular choice of density for the modeling of continuous observations, often combined with a specific prior in the context of Bayesian inference. When this prior is conjugate (e.g., the normal-gamma inverse distribution in the univariate case), it can be proved that the posterior and predictive distributions have ...
Goffinet, Etienne, Lebbah, Mustapha, Azzag, Hanane, Giraldi, Loïc   +3 more
openaire   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International Statistical Review, Volume 94, Issue 1, Page 163-187, April 2026.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source

Objective Bayes factors for Gaussian directed acyclic graphical models [PDF]

, 2011
We propose an objective Bayesian method for the comparison of all Gaussian directed acyclic graphical models defined on a given set of variables. The method, which is based on the notion of fractional Bayes factor (BF), requires a single default ...
Luca La Rocca, Guido Consonni, G. Consonni, La Rocca, Luca, Consonni, Guido   +4 more
core   +1 more source

Multivariate and Online Transfer Learning With Uncertainty Quantification

Statistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Untreated periodontitis causes inflammation within the supporting tissue of the teeth and can ultimately lead to tooth loss. Modeling periodontal outcomes is beneficial as they are difficult and time‐consuming to measure, but disparities in representation between demographic groups must be considered.
Jimmy Hickey, Jonathan P. Williams, Brian J. Reich, Emily C. Hector   +3 more
wiley   +1 more source

Bayesian Covariance Matrix Estimation using a Mixture of Decomposable Graphical Models [PDF]

Estimating a covariance matrix efficiently and discovering its structure are important statistical problems with applications in many fields. This article takes a Bayesian approach to estimate the covariance matrix of Gaussian data.
Christopher K. Carter, Helen Armstrong, Robert Kohn, Kevin K. F. Wong   +3 more
core  

Joint Tracking and Classification of Extended Targets Using Random Matrix and Bernoulli Filter for Time-Varying Scenarios

IEEE Access, 2019
In surveillance applications, the extent states and measurements of extended targets received by sensors are time-varying. In this paper, we propose a joint tracking and classification (JTC) method for single extended target under the presence of clutter
Liping Wang, Yuan Huang, Ronghui Zhan, Jun Zhang   +3 more
doaj   +1 more source

Exact formulas for the normalizing constants of Wishart distributions for graphical models

, 2018
© Institute of Mathematical Statistics, 2018. Gaussian graphical models have received considerable attention during the past four decades from the statistical and machine learning communities.
Caroline Uhler, Uhler, Caroline, Lenkoski, Alex, Richards, Donald, Donald Richards, Alex Lenkoski   +5 more
core   +1 more source

Robust Radar Tracking via Joint Adaptive EKF and Power Allocation Under Dynamic Clutter

Electronics Letters, Volume 62, Issue 1, January/December 2026.
ABSTRACT In this letter, a joint adaptive extended Kalman filter (AEKF) and power allocation strategy is proposed for robust multitarget tracking in colocated MIMO radar systems under dynamic clutter. The unknown clutter intensity is incorporated into the measurement model and characterized by a truncated inverse gamma distribution.
Hao Sun, Yunhua Luo, Zhongjun Yu
wiley   +1 more source