Proceedings of the 5th International Conference
on Statistics: Theory and Applications (ICSTA 2023)
August 3 - 5, 2023 | Brunel University, London, United Kingdom
The following papers were presented at the 5th International Conference on Statistics: Theory and Applications (ICSTA 2023)
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Lipschitz Variational Approximation of Total Variation Distance
Author: Rui Ding
GSDMM Model Evaluation Techniques with Application to British Telecom Data
Authors: Hesham Abdelmotaleb, Małgorzata Wojtyś, Craig McNeile
Forecasting Financial Times Series with Long Memory and Structural Break
Authors: Euloge Francois Kouame, Lanzeni Tuo
Deception Detection using Random Forest-based Ensemble Learning
Authors: Kun Bu, Kandethody Ramachandran
Fuzzy Clustering Of Ordinal Time Series Based On Two Novel Distances
Authors: Ángel López-Oriona, Christian H. Weiss, José A. Vilar
Validation of Two-sample Location-scale Model Using Empirical Likelihood Based Statistics
Authors: Leonora Pahirko, Janis Valeinis, Janis Gredzens, Madara Krumina
Evaluating closed-loop effects from vasodilator administration for pulmonary hypertension treatment
Authors: Agnieszka Borowska, Mitchel Colebank, Mette Olufsen, Dirk Husmeier
Statistics Anxiety: What are the antecedents?
Authors: Milica Maricic, Teodora Rajkovic, Danica Lecic-Cvetkovic, Marina Ignjatovic
Using Indicators of Entrepreneurial Ecosystem Quality for Segmenting Countries: A Biclustering Approach
Authors: Teodora Rajkovic, Milica Maricic, Ognjen Andjelic, Marina Ignjatovic
An Overview of Statistical Models in High Throughput Screening (HTS) for Toxicity Data
Authors: Mehdi Razzaghi
Big Data and Design of Experiments: A Combination Which Can Enhance the Performances of Machine Learning Models
Authors: Rosa Arboretti, Livio Corain, Alberto Molena
Multivariate Permutation Test for Model Selection
Authors: Elena Barzizza, Riccardo Ceccato, Luigi Salmaso
Cause-Specific Mortality In Southern Uganda Using Verbal Autopsy 1999-2019
Authors: Doreen Nabukalu, Julia Calazans, Milly Marston, Fredrick Makumbi, Tom Lutalo, Jim Todd
Variable Selection for a Contaminated Mixture of Normals Classification Model
Authors: Jorge Sánchez, Nema Dean, Tereza Neocleous
High Dimensional Change Points: Challenges and Some Proposals
Authors: Lupeng Zhang, Reza Drikvandi
FReET: Software for Uncertainties Propagation
Authors: Drahomír Novák
Bayesian inference of cardiac models emulated with a time series Gaussian process
Authors: Yuzhang Ge, Dirk Husmeier, Alan Lazarus, Arash Rabbani, Hao Gao
PRECISION-LerVAD: A personalized algorithm to detect cardiac arrythmia and major bleeding in LVAD devices
Authors: M. Moazeni, L. Numan, M.K. Szymanski, N.P. Van der Kaaij, F.W. Asselbergs, L.W. van Laake , E. Aarts
Estimating the Prevalence of Severe Psychiatric Disorders among Underages in Italy Using Capture-Recapture Methods
Authors: Danilo Alunni Fegatelli, Luca Tardella, Francesco Catenacci, Giulia Natalucci, Noemi Faedda, Dario Calderoni
Development of a Hospital Frailty Risk Score for Community-dwelling
Older Adults Using Data from Electronic Hospital Records in South
Korea
Authors: Jinhee Kim, Hee-Sun Kim, Gihwan Bae
Diagonal Vector Autoregressive and Multivariate Autoregressive Distributed Lag Models and Their Variance Properties
Authors: Anthony Usoro, Emediong Usoro
Fisher-Shannon Analysis of MODIS Terra Evapotranspiration Satellite Data to Reveal Status of Plant Infection
Authors: Luciano Telesca, Nicodemo Abate, Farid Faridani, Michele Lovallo, Rosa Lasaponara
Short and Long-term Forecasting of Emerging Market Data using ARIMA-based and Boosting Machine Learning Algorithms
Authors: Md Al Masum Bhuiyan, Constanza Zurita Valdebenito, Md Shamsul Alam, Nusrat Sarmin
Scalable Simulations of 3D Turbulence Fine Structure in Nanoflare Using a Novel Plasma Statistical Algorithm
Authors: Bojing Zhu, Yan Li, Zhikuo Ma, Hui Yan, Ying Zhong, Wu Wang, Yufeng Guo5, L.Zheng, David A Yuen
Fuzzy C-Medoids Clustering Of CUB Data to Handle Likert-Type Scales Uncertainty
Authors: Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato, Marta Disegna, Alberto Molena
Product Quality Control Forecast Using Machine Learning Algorithms: a Case Study
Authors: Rosa Arboretti, Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato, Livio Corain2, Marta Disegna, Luca Pegoraro, Luigi Salmaso, Andrea Vinelli, Pietro Barbieri, Luca Bortolan, Matteo Canale, Marco Giada, Davide Longi, Fabio Napol, Danny Paganin
Bayesian Model Selection and Emulation for Protein Fluorescence
Authors: William Ryan, Dirk Husmeier, Olaf Rolinski, Vladislav Vyshemirsky