Proceedings of the 7^th International Conference
on Statistics: Theory and Applications (ICSTA 2025)

Causality for Trustworthy Artificial Intelligence
Author: Dr. Sheng Li

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Fractional Ridge Regression
Authors: Dr. Leonard Stefanski

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Unsupervised Learning with Communication Networks: From Stochastic Block Models to Deep Latent Variables Models
Authors: Dr. Charles Bouveyron

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Data-Efficient Graph Learning
Authors: Dr. Kaize Ding

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On Quantum Foundation, As Seen By a Statistician
Authors: Dr. Inge S. Helland

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Quantile Functionals as Measures of Social, Health and Technical Events
Authors: Dr. Jana Jurečková

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The Unlikely Revolutionary: You, The Statistician — From ECT Confusion To AI Revolution: Discover How Statisticians Transformed Messy Medical Data into Life-Saving Insights
Authors: Dr. HONG PAN

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Robust Eigenvector Shrinkage via M-Estimators and Geometric Priors for High-Dimensional Covariance Estimation
Author: Greeshma Balabhadra

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Leveraging Spatial Interpolation for PM2.5 Estimation: Constructing a Reference Framework for Calibration Models
Author: Natthanidnan Sricharoen, Patrinee Traisathit, Sukon Prasitwattanaseree, Pimwarat Srikummoon, Jeerasak Longmali, Titaporn Supasri

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Physics-informed Gaussian Processes for nonlinear partial differential equations in a fluid-dynamics application
Author: L. Mihaela Paun, Mitchel J. Colebank, and Dirk Husmeier

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Physics-Informed Emulation of Systemic Blood Circulation
Author: William Ryan, Vladislav Vyshemirsky, Alyssa Taylor LaPole, Mette Olufsen, Dirk Husmeier

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Modelling of the Short-term Heart Rate Variability Measures: a Focus on the Transformation
Authors: Svitlana Shvydka and Mária Ždímalová

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Pre, Peri, and Post-Covid Statistical Analysis of Restaurant Inspection Scores: Preliminary Insights
Authors: Nicholas V. Scott, Sarah Jensen, and Tania Nur

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Bayesian Network Modeling of Socio-Environmental Variables Supporting Health Policy Deliberation
Authors: Nicholas V. Scott, Sarah Jensen, and Tania Nur

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Bivariate Normal Distribution for Modelling Spatio-Temporal Data
Authors: Rinda Nariswari, Kartika Fithriasari, Nur Iriawan

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Investigating Tabular Generative Models for Synthetic Data Generation in PDAC Bulk Gene Expression Data
Authors: Sultan Sevgi TURGUT ÖGME, Zeyneb KURT, Nizamettin AYDIN

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Poisson distribution: An Alternative Statistical Model to Predict Exact Scores of Football Matches
Authors: Miltiadis Chalikias, Evdoxia Siolou, Evangelia Kossieri, Panagiota Lalou

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Asymmetric Cross-correlation of Multivariate Spatial Stochastic Processes: A Primer
Authors: Xiaoqing Chen

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Minimax Rates of Convergence for Multivariate Distribution Function L^1-Deconvolution with Known Ordinary Smooth Errors
Authors: Catia Scricciolo

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Assessing Ecosystem Dynamics Under Disturbance: A Hidden Markov Model Framework for Species Detection Data
Authors: Litty Mathew, Caroline Brophy, Ian Donohue, Samuel RP-J Ross, Silvia D'Angelo

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A Survival Analysis of Adolescent Dropout in Swimming
Authors: Austin Yang

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Optimal Designs and Reliability Acceptance Sampling Plans for Accelerated Copula-Based Dependent Competing Risks Model
Authors: Rathin Das, Soumya Roy, Biswabrata Pradhan

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A Novel Optimised Fractional Hausdorff Grey Model with Time Power Term (OFHGM(1,1,t^α))) for Forecasting Greenhouse Gas Emissions
Authors: Havisha Jahajeeah, Aslam Aly E. F. Saib

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Performance Comparison of Statistical Emulators for Parameter Estimation in Complex Systems
Authors: Hongjin Ren, Hao Gao1, Mu Niu, Vinny Davies, Benn Macdonald

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Productivity Loss and Diabetes in Brazil: A Modeling Approach Based on National Health Survey Data
Authors: Arthur Sandi Bauermann, Maria Inês Schmidt, Bruce Bartholow Duncan, Rodrigo Citton Padilha dos Reis, Paula Andreghetto Bracco

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Circular-Circular Regression Models for Wind Directions in Thailand
Authors: Orathai Polsen, Pianpool Kamoljitprapa

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Estimating Acceptable Time to Cholecystectomy in Patients with Gallstone Pancreatitis using Bayesian Conjugate and Hierarchical Models
Author: Akil Baker, Jamie Vernon, Matthew Lyew

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Variable Selection and Dimension Reduction in Partially Linear Single-Index AFT Models
Authors: Xuewen Lu

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Statistical Analysis of MM-Wave Signals for Enhanced Biodiversity Monitoring
Authors: Linta Antony, Nicola Marchetti, Ian Donohue, Adam Narbudowicz

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Development of Machine Learning Regression Models for CO₂ Emission Forecasting in Thailand
Authors: Pianpool Kamoljitprapa, Piyachat Leelasilapasart

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A non-parametric Bayesian integrative method for variable selection and prediction
Authors: Thierry Chekouo, Bharghob Kakoty

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Feature-Selective Oblique Trees for Regression: Application to STEM Graduate Wage Prediction in Italy
Authors: Andrea Carta, Luca Frigau

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Leveraging Speech Analytics to Improve Data Quality in Surveys
Authors: Zhao Feng Lim, Boon Heng Ang

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Bayesian Markov Switching Models for prediction in Precision Beekeeping
Authors: M. C. Robustillo, L. Naranjo, M. I. Parra, C. J. Pérez

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Enhancing data collection through predictive modelling in Labour Force Surveys
Authors: Jeremy Heng

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Piecewise Regression Mixture Models with Skewness
Author: Getachew Dagne

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Phase I Monitoring of Between-Profile Autocorrelated Simple Linear Profiles
Authors: Yihua Wang

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Evaluating the Efficiency of Bayesian Laplace Approximation for Binary Classification of Cardiovascular Disease (CVD) Risk
Authors: Shuhrah Alghamdi

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A Comparative Analysis of Deep Gaussian Processes and Multivariate Bayesian Spline-Based Methods for Simulating Multidimensional Surfaces
Authors: Callum Macaulay, Dirk Husmeier, Vinny Davies

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Linear Prediction for Stationary Random Fields with an Application to Poverty Levels in Texas
Authors: Ouerdia Arezki

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Exploring Informational and Topological Properties of Seismic Point Processes
Author: Luciano Telesca

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Model of Time Series with Asymmetric Persistence and Procedure of its Reconstruction from Data
Authors: Zbigniew Czechowski

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Sequential Change-point Detection for Binomial Time Series with Exogenous Variables
Authors: Yajun Liu, Beth Andrews

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Predictive Models for Household Electricity Consumption of Thailand using Classification
Authors: Piyachat Leelasilapasart, Orathai Polsen

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Monte Carlo Simulations and Renewable Energy Scenarios: Dealing with Uncertainty Using Statistical Estimations
Authors: Mehmet Siddik Cadirci

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