Results 1 to 10 of about 11,564,802 (285)
Dirichlet process mixture models for single-cell RNA-seq clustering [PDF]
Biology Open, 2022 Clustering of cells based on gene expression is one of the major steps in single-cell RNA-sequencing (scRNA-seq) data analysis. One key challenge in cluster analysis is the unknown number of clusters and, for this issue, there is still no comprehensive ...
Nigatu A. Adossa +2 more
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Genome-scale MicroRNA target prediction through clustering with Dirichlet process mixture model [PDF]
BMC Genomics, 2018 Background MicroRNA regulation is fundamentally responsible for fine-tuning the whole gene network in human and has been implicated in most physiological and pathological conditions.
Zeynep Hakguder +4 more
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Dynamic classification of fetal heart rates by hierarchical Dirichlet process mixture models. [PDF]
PLoS ONE, 2017 In this paper, we propose an application of non-parametric Bayesian (NPB) models for classification of fetal heart rate (FHR) recordings. More specifically, we propose models that are used to differentiate between FHR recordings that are from fetuses ...
Kezi Yu, J Gerald Quirk, Petar M Djurić
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Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling. [PDF]
PLoS ONE, 2020 Identifying children who are at-risk for developmental delay, so that these children can have access to interventions as early as possible, is an important and challenging problem in developmental research.
Patricia Gilholm +2 more
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Rank-Based Mixture Models for Temporal Point Processes
Frontiers in Applied Mathematics and Statistics, 2022 Temporal point process, an important area in stochastic process, has been extensively studied in both theory and applications. The classical theory on point process focuses on time-based framework, where a conditional intensity function at each given ...
Yang Chen, Yijia Ma, Wei Wu
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Underground Pipeline Mapping Based on Dirichlet Process Mixture Model
IEEE Access, 2020 Underground pipeline mapping is important in urban construction. There are few specific procedures and approaches to map underground pipelines using ground penetration radar (GPR) without knowing the number of buried pipelines.
Qingyuan Wu, Xiren Zhou, Huanhuan Chen
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Efficient Clustering for Continuous Occupancy Mapping Using a Mixture of Gaussian Processes
Sensors, 2022 This paper proposes a novel method for occupancy map building using a mixture of Gaussian processes. Gaussian processes have proven to be highly flexible and accurate for a robotic occupancy mapping problem, yet the high computational complexity has been
Soohwan Kim, Jonghyuk Kim
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Mathematics, 2022 The extreme value theory is widely used in economic and environmental domains, it aims to study the stochastic extreme behaviors associated with rare events.
Yingjie Wang, Xinsheng Liu
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Econometrics, 2023 In actuarial practice, the modeling of total losses tied to a certain policy is a nontrivial task due to complex distributional features. In the recent literature, the application of the Dirichlet process mixture for insurance loss has been proposed to ...
Minkun Kim +3 more
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IEEE Access, 2022 Due to the unique channel characteristics of Terahertz (THz), comprehensive propagation channel modeling is essential to understand the spectrum and develop reliable communication systems in these bands.
Erhan Karakoca +2 more
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