Proceedings of the 3rd International Conference
on Statistics: Theory and Applications (ICSTA'21)

July 29 - 31, 2021 | Prague, Czech Republic
Virtual Conference

The following papers were presented at the 3rd International Conference on Statistics: Theory and Applications (ICSTA'21)


Statistical Analysis of Measurements in Exact and Inexact Sciences: An Open Problem
Authors: Lia Queiroz do Amaral, Universidade de São Paulo, Brazil


The Concept of Statistical Evidence
Authors: Michael Evans


Graph‌ ‌Neural‌ ‌Network‌ ‌Emulation‌ ‌of‌ ‌Cardiac‌ ‌Mechanics‌ ‌
Authors: David Dalton, Alan Lazarus Arash Rabbani, Hao Gao, Dirk Husmeier


Robustness of Gaussian Mixture Reduction for Split-and-Conquer Learning of Finite Gaussian Mixtures
Authors: Qiong Zhang, Jiahua Chen


Inference in Cardiovascular Modelling Subject to Medical Interventions
Authors: L. Mihaela Paun, Agnieszka Borowska, Mitchel J. Colebank, Mette S. Olufsen and Dirk Husmeier


Estimation of Parameters of Logistic Regression with Missing Covariates via Joint Conditional Likelihood Method
Authors: Phuoc-Loc Tran, Truong-Nhat Le, Shen-Ming Lee, and Chin-Shang Li


Change Point Analysis and Clustering Examined Through Chicago Crime During COIVD-19
Authors: Mena Whalen, Joseph Feinglass, Noelle Samia


Prediction Model for the Result of Percutaneous Coronary Intervention in Coronary Chronic Total Occlusions
Authors: Maria Ganopoulou, Ioannis Kangelidis, Georgios Sianos, Lefteris Angelis


Generalized Functional Responses in Habitat Selection Fitted by Decision Trees and Random Forests
Authors: Shaykhah Aldossari, Dirk Husmeier, Jason Matthiopoulos


Combining Time Series and Sentiment Analysis for Stock Market Forecasting
Authors: Hsiao-Chuan Chou, Kandethody M. Ramachandran


Sufficient Dimension Reduction with Deep Neural Networks for Phenotype Prediction
Authors: Siqi Liang, Wei-Heng Huang, Faming Liang


The Impact of Entity Resolution on Observed Social Network Structure
Authors: Abby Smith


Stochastic Version of EM Algorithm for Nonlinear Random Change-Point Models
Authors: Hongbin Zhang, Binod Manandhar