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comparison of different hierarchical Dirichlet process implementations

• Authors : Wu, Peichen

Subjects: Statistics; bayesian; hierarchical Dirichlet process

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Multi-task learning for classification with dirichlet process priors

• Authors : Ya Xue; Xuejun Liao; Lawrence Carin ...

Subjects: Classification; Bayesian; Dirichlet Process

• Source: http://www.ece.duke.edu/~lcarin/YaMTL06.pdf.

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Non-parametric Bayesian annotator combination

• Authors : Servajean, Maximilien; Chailan, Romain; Joly, Alexis ...

Subjects: Dirichlet process; Combination; Classification

• Source: ISSN: 0020-0255 ; Information Sciences ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01703020 ; Information Sciences, 2018, 436-437, pp.131-145. ⟨10.1016/j.ins.2018.01.020⟩.

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Using the Seychelles child development study to cluster multiple outcomes into domains to improve estimation of the overall effect of mercury on neurodevelopment

• Authors : LaLonde, A.; Love, T.

Subjects: Dirichlet process prior; Bayesian; model-based clustering

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Heterogeneous variable selection in nonlinear panel data models: A semiparametric Bayesian approach

• Authors : Castelein, Anoek; Fok, Dennis; Paap, Richard

Subjects: ddc:330; C23; C11

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USING THE SEYCHELLES CHILD DEVELOPMENT STUDY TO CLUSTER MULTIPLE OUTCOMES INTO DOMAINS TO IMPROVE ESTIMATION OF THE OVERALL EFFECT OF MERCURY ON NEURODEVELOPMENT.

• Authors : LALONDE, AMY¹ ; LOVE, TANZY¹

• Source: Mathematics for Application. 2018, Vol. 7 Issue 1, p53-62. 10p.

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A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation.

• Authors : Oganisian, Arman¹ (AUTHOR) ; Mitra, Nandita¹ (AUTHOR); Roy, Jason A.² (AUTHOR)

Subjects: *DATA distribution; *FIX-point estimation; *ENDOMETRIAL cancer

• Source: Biometrics. Mar2021, Vol. 77 Issue 1, p125-135. 11p.

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A HIERARCHIAL DIRICHLET PROCESS PRIOR by

• Authors : Jens Praestgaard; The Pennsylvania State University CiteSeerX Archives

Subjects: hierarchical model; Bayesian

• Source: http://www.stat.washington.edu/research/reports/1989/tr166.pdf.

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Complex temporal topic evolution modelling using the Kullback-Leibler divergence and the Bhattacharyya distance

• Authors : Andrei, Victor; Arandelovic, Ognjen; University of St Andrews.School of Computer Science

Subjects: Topic modelling; Dirichlet process; Bayesian

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Extensions of self-exciting point processes with applications in seismology and ecology

• Authors : Kolev, Aleksandar Atanasov;

Subjects: ETAS; Bayesian; Earthquake

• Source: Doctoral thesis, UCL (University College London).

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