Detecting Spatial Clusters via a Mixture of Dirichlet Processes

Detecting Spatial Clusters via a Mixture of Dirichlet Processes

We proposed an approach that has the ability to detect spatial clusters with skewed or irregular distributions. A mixture of Dirichlet processes (DP) was used to describe spatial distribution patterns. The effects of different batches of data collection efforts were also modeled with a Dirichlet pro...

Full description

Bibliographic Details
Main Authors:	Meredith A. Ray, Jian Kang, Hongmei Zhang
Format:	Article
Language:	English
Published:	Hindawi Limited 2018-01-01
Series:	Journal of Probability and Statistics
Online Access:	http://dx.doi.org/10.1155/2018/3506794

Similar Items

Dynamic clustering via asymptotics of the dependent Dirichlet process mixture
by: Campbell, Trevor David, et al.
Published: (2015)

Bayesian variable selection in clustering via dirichlet process mixture models
by: Kim, Sinae
Published: (2007)

Tumor subclones detection with Dirichlet Process Mixture Model
by: Wu, Tsung-Yu, et al.
Published: (2015)

Machinery Early Fault Detection Based on Dirichlet Process Mixture Model
by: Bo Ma, et al.
Published: (2019-01-01)

Genome-scale MicroRNA target prediction through clustering with Dirichlet process mixture model
by: Zeynep Hakguder, et al.
Published: (2018-09-01)

Kernel Analysis Based on Dirichlet Processes Mixture Models
by: Jinkai Tian, et al.
Published: (2019-09-01)

Memorized Variational Continual Learning for Dirichlet Process Mixtures
by: Yang Yang, et al.
Published: (2019-01-01)

Dirichlet Process Mixture Models for Nested Categorical Data
by: Hu, Jingchen
Published: (2015)

Semi-parametric Survival Analysis via Dirichlet Process Mixtures of the First Hitting Time Model
by: Race, Jonathan Andrew
Published: (2019)

Bayesian nonparametric clustering based on Dirichlet processes
by: Murugiah, S.
Published: (2010)

Underground Pipeline Mapping Based on Dirichlet Process Mixture Model
by: Qingyuan Wu, et al.
Published: (2020-01-01)

Video Annotation using Hierarchical Dirichlet Process Mixture Model
by: Po-Chun Li, et al.
Published: (2009)

Tractography segmentation using a hierarchical Dirichlet processes mixture model
by: Wang, Xiaogang, et al.
Published: (2020)

Analysis of the Dirichlet process mixture model with application to dialogue act classification
by: Bakhtiari Koohsorkhi, Alireza
Published: (2011)

Bayesian Nonparametric Reliability Analysis Using Dirichlet Process Mixture Model
by: Cheng, Nan
Published: (2011)

Analysis of the Dirichlet Process Mixture Model with Application to Dialogue Act Classification
by: Bakhtiari Koohsorkhi, Alireza
Published: (2011)

Discovering key transcriptomic regulators in pancreatic ductal adenocarcinoma using Dirichlet process Gaussian mixture model
by: Sk Md Mosaddek Hossain, et al.
Published: (2021-04-01)

Dynamic classification of fetal heart rates by hierarchical Dirichlet process mixture models.
by: Kezi Yu, et al.
Published: (2017-01-01)

A Study on Hierarchical Dirichlet Process Mixture Model Based Music Emotion Annotation
by: Chen-Ying Ren, et al.
Published: (2014)

Dirichlet multinomial mixtures: generative models for microbial metagenomics.
by: Ian Holmes, et al.
Published: (2012-01-01)

Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions
by: Ahmed Almulihi, et al.
Published: (2021-07-01)

Object-based world modeling in semi-static environments with dependent dirichlet process mixtures
by: Kaelbling, Leslie P., et al.
Published: (2021)

Semiparametric Bayesian Approach using Weighted Dirichlet Process Mixture For Finance Statistical Models
by: Sun, Peng
Published: (2017)

dpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data
by: Yaoyao Li, et al.
Published: (2020-01-01)

Automatic Probabilistic Maps of Brainbow Image by Dirichlet Mixture Models
by: 翁浚哲
Published: (2012)

PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes
by: Silvia Liverani, et al.
Published: (2015-03-01)

Weighted Dirichlet Process Mixture Models to Accommodate Complex Sample Designs for Linear and Quantile Regression
by: Elliott Michael R., et al.
Published: (2021-03-01)

Semi-parametric Bayesian Inference of Accelerated Life Test Using Dirichlet Process Mixture Model
by: Liu, Xi
Published: (2015)

Coral Image Segmentation with Point-Supervision via Latent Dirichlet Allocation with Spatial Coherence
by: Xi Yu, et al.
Published: (2021-02-01)

Using the Dirichlet process to form clusters of people's concerns in the context of future party identification.
by: Patrick Meyer, et al.
Published: (2019-01-01)

Flexible Bayesian Dirichlet mixtures of generalized linear mixed models for count data
by: Olumide S. Adesina, et al.
Published: (2021-09-01)

CONTRIBUTIONS TO THE THEORY OF DIRICHLET PROCESSES

Linkage Based Dirichlet Processes
by: Song, Yuhyun
Published: (2017)

Dirichlet Process and Chinese Restaurant Process
by: Jheng, Shue-Hong, et al.
Published: (2012)

Data Driven Robust Energy and Reserve Dispatch Based on a Nonparametric Dirichlet Process Gaussian Mixture Model
by: Li Dai, et al.
Published: (2020-09-01)

Genomic region detection via Spatial Convex Clustering.
by: John Nagorski, et al.
Published: (2018-01-01)

A MATHEMATICAL STUDY OF THE DIRICHLET PROCESS

Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling.
by: Patricia Gilholm, et al.
Published: (2020-01-01)

Characterization of a Bayesian genetic clustering algorithm based on a Dirichlet process prior and comparison among Bayesian clustering methods
by: Morita Mitsuo, et al.
Published: (2011-06-01)

Application of Latent Dirichlet Allocation (LDA) for clustering financial tweets
by: Fatima-Zahrae Sifi, et al.
Published: (2021-01-01)