Registered Data

[CT079]

  • Session Time & Room
    • CT079 (1/1) : 3E @E501 [Chair: Junyi Zhang]
  • Classification
    • CT079 (1/1) : Nonparametric inference (62G) / Statistics (62-)

[02011] Network models with truncated Poisson-Dirichlet process priors

  • Session Time & Room : 3E (Aug.23, 17:40-19:20) @E501
  • Type : Contributed Talk
  • Abstract : We introduce a Bayesian nonparametric network model based on the truncated Poisson-Dirichlet process prior. In our model, the sociability parameters of the nodes are sorted in descending order. This enables us to focus on the most popular nodes of the network. We will show the simulation algorithm and posterior inference method for this model. Numerical implementations will also be discussed based on simulated observations and real-world datasets.
  • Classification : 62G05, 62F15, 60G51
  • Format : Talk at Waseda University
  • Author(s) :
    • Junyi Zhang (The Hong Kong Polytechnic University)
    • Angelos Dassios (London School of Economics)

[00560] Semiparametric Kernel Estimation with Bayesian Bandwidths for Multivariate Nonnegative Data

  • Session Time & Room : 3E (Aug.23, 17:40-19:20) @E501
  • Type : Contributed Talk
  • Abstract : We introduce a flexible semiparametric kernel method for smoothing distributions on nonnegative supports. This multivariate estimator is guided by a given parametric part, here an uncorrelated exponential distribution estimated by maximum likelihood, and a nonparametric part which is a weight function to be smoothed through multiple gamma kernels. Also, a diagnostic model discusses the choice between the parametric, semiparametric and nonparametric approaches. Finally, practical multivariate semicontinuous datasets illustrate the usefulness of the method.
  • Classification : 62Gxx, 62Hxx
  • Format : Talk at Waseda University
  • Author(s) :
    • Sobom Matthieu Somé (Université Thomas SANKARA)
    • Célestin C. Kokonendji (Université Bourgogne Franche-Comté)

[02191] Analysis Seismic Data in Sumatra Using Robust Sparse K-Means Clustering

  • Session Time & Room : 3E (Aug.23, 17:40-19:20) @E501
  • Type : Contributed Talk
  • Abstract : K-means algorithm is considered to be the most important unsupervised machine learning method in clustering. It works intimately on complete and clear data but cannot handle outliers. Therefore, robust statistical algorithms are required to deal with it. This paper presents robust sparse k-means algorithm to show clustering of seismic data in Sumatra. Clustering results are displayed graphically for two, three and four clusters to see the zones formed based on the grouping results.
  • Classification : 62-11, 62-08
  • Format : Talk at Waseda University
  • Author(s) :
    • Ulfasari Rafflesia (Univestitas Gadjah Mada, Yogyakarta)
    • Dedi Rosadi (Univestitas Gadjah Mada, Yogyakarta)
    • Devni Prima Sari (Universitas Negeri Padang)

[01056] Statistical methodology for functional meta-analysis of sex-based disparities in neurological diseases

  • Session Time & Room : 3E (Aug.23, 17:40-19:20) @E501
  • Type : Industrial Contributed Talk
  • Abstract : Sex-based differences in diverse health scenarios and diseases have been acknowledged for many years but still not thorough-fully analysed. We propose a statistical methodology combining transcriptomics data from different spurces which allows to unveil those disparities at the level of differentially expressed genes and differentially enriched functions. The methodology uses linear models, meta-analysing the results through the logFC, and has been successfully applied to various diseases such as Multiple Sclerosis, Alzheimer’s and Parkinson’s diseases.
  • Classification : 62-xx, 62Pxx, 92-04, 92-08, 92-10
  • Format : Talk at Waseda University
  • Author(s) :
    • Marta R. Hidalgo (CIPF)
    • Francisco Garcia-Garcia (CIPF)
    • Borja Gomez-Cabañes (CIPF)
    • Carla Perpiña-Clerigues (CIPF)
    • Irene Soler-Saez (CIPF)
    • Fernando Gordillo-González (CIPF)
    • Gonzalo Anton-Bernat (Universitat de València)
    • Adolfo López-Cerdan (BioBam )
    • Rubén Grillo-Risco (CIPF)
    • Jose Francisco Català-Senent (INCLIVA)