Results 121 to 130 of about 31,307,485 (221)

Modeling neuroaffective biomarkers of drug addiction: A Bayesian nonparametric approach using dirichlet process mixtures. [PDF]

J Neurosci Methods, 2020
Kypriotakis G, Cinciripini PM, Versace F.   +2 more
europepmc   +1 more source

Construction and Stationary Distribution of the Fleming-Viot Process with Viability Selection [PDF]

This paper provides an explicit construction of the Fleming-Viot process with viability selection in a Bayesian nonparametric framework, and derives its stationary distribution. The measure-valued diffusion is obtained as the infinite population limit of
Stephen G. Walker, Matteo Ruggiero
core  

Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling. [PDF]

PLoS One, 2020
Gilholm P, Mengersen K, Thompson H.
europepmc   +1 more source

Brief von Rebecka Lejeune Dirichlet und Flora Lejeune Dirichlet an Anna Elisabeth Lejeune Dirichlet

BRIEF VON REBECKA LEJEUNE DIRICHLET UND FLORA LEJEUNE DIRICHLET AN ANNA ELISABETH LEJEUNE DIRICHLET Brief von Rebecka Lejeune Dirichlet und Flora Lejeune Dirichlet an Anna Elisabeth Lejeune Dirichlet ( -
Lejeune Dirichlet, Rebecka, Lejeune Dirichlet, Anna Elisabeth, Lejeune Dirichlet, Flora   +2 more
core   +1 more source

Semi-parametric testing for ordinal treatment effects in time-to-event data via dynamic Dirichlet process mixtures of the inverse-Gaussian distribution. [PDF]

Stat Methods Med Res
Race JA, Ruppert AS, Efebera Y, Pennell ML.   +3 more
europepmc   +1 more source

Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data. [PDF]

J Mach Learn Res
Chakrabarti A, Ni Y, Morris ERA, Salinas ML, Chapkin RS, Mallick BK.   +5 more
europepmc   +1 more source

Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model

IEEE Transactions on Industrial Informatics, 2018
Zhenglin Li, L. Mihaylova, O. Isupova, Lucile Rossi   +3 more
semanticscholar   +1 more source

scDAC: deep adaptive clustering of single-cell transcriptomic data with coupled autoencoder and Dirichlet process mixture model. [PDF]

Bioinformatics
An S, Shi J, Liu R, Chen Y, Wang J, Hu S, Xia X, Dong G, Bo X, He Z, Ying X.   +10 more
europepmc   +1 more source

Using the Dirichlet process to form clusters of people's concerns in the context of future party identification. [PDF]

PLoS One, 2019
Meyer P, Schophaus FM, Glassen T, Riedl J, Rohrer JM, Wagner GG, von Oertzen T.   +6 more
europepmc   +1 more source

The nested joint clustering via Dirichlet process mixture model. [PDF]

J Stat Comput Simul, 2019
Han S, Zhang H, Sheng W, Arshad H.
europepmc   +1 more source