10.35
Brian
Flaherty
University of Washington
Zoom
Exploring many classes, restricted measurement (MACREM) latent class models for improved measurement
10.40
Michael
Pearce
Latent class modeling of score and ranking data applied to grant panel review
10.45
Christian
Hennig
University of Bologna
Nonparametric consistency for maximum likelihood of mixtures of elliptically symmetric distributions
10.50
Ganesh
Babu
University College Dublin
Model Based Methods for Rice type detection in Hyperspectral Images
10.55
Stephen
Coleman
MRC Biostatistics University of Cambridge
A Bayesian mixture modelling approach for simultaneous batch correction and seropositivity estimation in ELISA data
11.00
Valerie
Robert
Université Paris Saclay
Comparing co-clustering partitions with the Co-clustering Adjusted Rand Index
11.05
Koyel
Majumdar
A family of mixture models for beta valued
11.10
Emiliano
Seri
Sapienza Universita di Roma
Advances in synthetic indicators’ construction: new methodological tools
11.15
Riccardo
Rastelli
A stochastic block model for interaction lengths
11.20
Louis
Ohl
INRIA
Generalized Mutual Information
11.25
Giulia
Marchello
A Dynamic Latent Block Model for Co-clustering of Count Data Streams
11.30
Dingge
Liang
Université Côte d'Azur
Clustering by Deep Latent Position Model with Graph Convolutional Network
11.35
Alessandro
Casa
Sparse matrix-variate model-based clustering via penalized estimation
11.40
Fop
Clustering of mixed-type data via mixtures of exponential family graphical models
11.45
Edoardo
Redivo
Naive Bayes with quantile-based distributions
11.50
Angelos
Kekempanos
Athens University of Economics and Business
Bayesian Model-Based Clustering for Dynamic Count-Networks
11.55
Fotini
Panagou
Penalized Gaussian Copula mixtures for mixed mode data
12.00
Petros
Barmpounakis
On the complexity of Modelling the phases of SARS-CoV2 transmission