A finite mixture distribution to model genetic architecture of image‐based oat grain morphology
Sign Up to like & getrecommendations! Published in 2024 at "Crop Science"
DOI: 10.1002/csc2.21400
Abstract: The multi‐floral oat (Avena sativa L.) inflorescence influences grain size and shape distributions, affecting the physical attributes of grain quality such as plumpness, size, and uniformity. While the grain size and shape distribution has been… read more here.
Keywords: finite mixture; distribution; grain size; mixture distribution ... See more keywords
A mixture distribution approach for assessing genetic impact from twin study
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9367
Abstract: It is challenging to evaluate the genetic impacts on a biologic feature and separate them from environmental impacts. This is usually achieved through twin studies by assessing the collective genetic impact defined by the differential… read more here.
Keywords: mixture distribution; twin; genetic impact;
Comparison of utility indifference pricing and mean-variance approach under a normal mixture distribution with time-varying volatility
Sign Up to like & getrecommendations! Published in 2019 at "Finance Research Letters"
DOI: 10.1016/j.frl.2018.04.006
Abstract: Abstract We evaluate a utility indifference price with an exponential utility function, which we call a risk-sensitive value measure, under a normal mixture distribution with time-varying volatility. We compare the risk-sensitive value measure and mean-variance… read more here.
Keywords: time varying; mixture distribution; distribution time; utility indifference ... See more keywords
Density estimation of a mixture distribution with unknown point-mass and normal error
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2021.04.002
Abstract: Abstract We consider the model Y = X + ξ where Y is observable, ξ is a noise random variable with density f ξ , X has an unknown mixed density such that P (… read more here.
Keywords: density estimation; distribution unknown; density; estimation mixture ... See more keywords
Optimal design of variable acceptance sampling plans for mixture distribution
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1610162
Abstract: ABSTRACT The paper investigates the design of single and sequential variable acceptance sampling plans for a mixture distribution. Mixture distributions are seen in many practical problems such as life testing experiments of electronic components and… read more here.
Keywords: plans mixture; variable acceptance; acceptance sampling; mixture distribution ... See more keywords
A Radar Signal Deinterleaving Method Based on Mixture Distribution Test With a Sequential Two-Module Neural Network Architecture
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3564743
Abstract: Radar signal deinterleaving (RSD) through pulse description word (PDW) clustering is a crucial prestep for electronic reconnaissance. Although clustering algorithms are usually universal, existing PDW clustering algorithms cannot achieve a satisfying performance in a dense… read more here.
Keywords: radar signal; based mixture; distribution; mixture distribution ... See more keywords
OTFS Detection Based on Gaussian Mixture Distribution: A Generalized Message Passing Approach
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2023.3318312
Abstract: The Orthogonal Time Frequency Space (OTFS) modulation has been identified as a promising modulation scheme for wireless communications with high mobility. As for data detection of OTFS symbols, most existing detectors rely on the sophisticated… read more here.
Keywords: detection; message passing; mixture distribution; gaussian mixture ... See more keywords
Adaptive Attention Based on Mixture Distribution for Zero-Shot Non-Line-of-Sight Imaging
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3558458
Abstract: Non-line-of-sight (NLOS) imaging is an ill-posed problem to reconstruct hidden 3D scenes by leveraging photon time-of-flight information from diffusely reflected light. In the existing regularization models, the spatial residuals were handled by a single distribution,… read more here.
Keywords: distribution; mixture distribution; non line; zero shot ... See more keywords
Variational Adaptive Kalman Filter With Gaussian-Inverse-Wishart Mixture Distribution
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2020.2995674
Abstract: In this article, a new variational adaptive Kalman filter with Gaussian-inverse-Wishart mixture distribution is proposed for a class of linear systems with both partially unknown state and measurement noise covariance matrices. The state transition and… read more here.
Keywords: inverse wishart; mixture distribution; wishart mixture; gaussian inverse ... See more keywords
Mixture Distribution Graph Network for Few Shot Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2021.3075280
Abstract: Few-shot learning aims at heuristically resolving new tasks with limited labeled data; most of the existing approaches are affected by knowledge learned from similar experiences. However, inter-class barriers and new samples insufficiency limit the transfer… read more here.
Keywords: mixture distribution; shot learning; shot; distribution graph ... See more keywords