The Poster Reception will take place from 17.30 at the Strand Hotel, with food and drinks provided. Below is the list of poster presentations. Please click on the author name to view their abstract.
Note that [S] in the table indicates a student presenter.
| Poster ID | Name | Title |
|---|---|---|
| 1 | Dimitrios Mikis Stasinopoulos | Pre-Analysis of Data for Distributional Regression |
| 2 | Florian Ziel | Regularized Online GAMLSS |
| 3 | Monika Zimmermann[S] | Joint Learning of Smoothing and Model Parameters in GAM Frameworks |
| 4 | Tobias Weckop[S] | Robust neural additive models for location scale and shape |
| 5 | Trevor Fitzpatrick | A distributional regression approach to assessing cross-country money laundering risk |
| 6 | Marisa Lange[S] | Distributional Regression for Lungfunction of Cystic Fibrosis Patients with a Special Focus on Spatial and Random Effects |
| 7 | Jonathan Berrisch[S] | Online Distributional Regression in Python |
| 8 | Danilo Silva[S] | On diagnostics in generalized partially linear single-index models |
| 9 | Jonas Heiner[S] | Regularized Multi-Omics Regression Modeling for Protein Data |
| 10 | Lea Kaufmann[S] | Evaluation of Likelihood Ratio Tests in Penalized Logistic Regression with Factors |
| 11 | Benjamin Müller[S] | Simultaneous estimation and model choice for big discrete time-to-event data with additive predictors |
| 12 | Kristína Sakmárová[S] | Factor selection in screening designs |
| 13 | Hannah Heister[S] | Continuous norming of a multidimensional test with a higher-order 2PL-IRT model |
| 14 | Juan M. Rodriguez Diaz | Methodology for Retrospective Blood Alcohol Threshold Assessment under Uncertainty |
| 15 | Solomon Beer[S] | A novel method for lifecourse modelling with time-varying covariates |
| 16 | Jeronimo Usuga-Gomez[S] | Assessing the Effectiveness of Non-Parametric Methods for Comparing Patient Groups in Psychological Studies |
| 17 | Ingrid Mauerer | Ordinal Item Response Theory Models for the Evaluation of Heterogeneity in Attitudes |
| 18 | Ivana Malá | Poisson regression with incomplete observations, application on the number of jobs in active working life |
| 19 | Marco Doretti | Handling outcome-dependent missingness with binary responses: A Heckman-like model |
| 20 | Raquel Caballero-Águila | Recursive filter for multirate systems with missing measurements and random attacks |
| 21 | Aliaksandr Hubin | Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty |
| 22 | Hannah Klinkhammer | Statistical modelling of non-linear effects in genetic prediction models |
| 23 | Btissame EL Mahtout[S] | Electricity Price Forecasting: Regression vs. Neural Networks |
| 24 | Rui Martins | Are All Football Leagues Equally Predictable? - Introducing Two New Metrics |
| 25 | Anderson Ara | Random Machines: an application to general psychopathological symptoms prediction |
| 26 | Ina-Marie Berendes[S] | Modeling and prediction of injuries in professional youth soccer including bootstrap confidence intervals |
| 27 | Fernando Luiz Pereira de Oliveira | Statistical Modelling Techniques for Default Rate Estimation in Credit Risk Analysis: An Ensemble Learning Approach for Large Financial Datasets |
| 28 | Joe Tanner[S] | Predictive Modelling in Imbalanced Categorical Data - Synthetic Minority Oversampling Technique |
| 29 | Kira O Flanagan[S] | The Line that Separates America's Major Parties |
| 30 | Nancy Boakye[S] | Predicting Childhood Obesity Risk: A Longitudinal Study of Children in Ireland |
| 31 | Matt Attard[S] | Sparse Dynamic Principal Components Analysis in the Frequency Domain |
| 32 | Wenzhen Huang[S] | Modeling Supply and Demand Curves in Day-Ahead Electricity Market |
| 33 | Souhir Ben Amor | Combining RNN and Linear Structures in Day-Ahead Electricity Price Forecasting |
| 34 | Paul Ghelasi[S] | Integrating data-driven and fundamental models: multivariate black-box and probabilistic estimation of the merit order for electricity price forecasting |
| 35 | Marta Cipriani[S] | Extending landmarking to mixture cure models with time-varying covariates |
| 36 | Mohammad Sayari[S] | Longitudinal analysis of educational outcomes |
| 37 | Angela Bitto-Nemling | How to find the needle in the haystack? Outlier detection and prediction in high-throughput industrial production processes |
| 38 | Emily Gribbin[S] | How I Met Your Monomer: Oligomer Counting for FLImP using RJMCMC |
| 39 | Ultán Doherty[S] | Model-Based Sequential Outlier Identification for Linear Cluster-Weighted Models |
| 40 | Pavel Hernández-Amaro[S] | A new scalar-on-function generalized additive model for partially observed functional data: an application to image classification. |
| 41 | Michele Cavazzutti[S] | Functional Depth for Partially Observable data on Multidimensional Domains |
| 42 | Nastaran Sharifian | Multivariate functional principal component analysis to predict exercise type in compression therapy |
| 43 | Martin Boer | Mixed Models and Spline-Based Smoothing |
| 44 | Paolo Vidoni | A simple score-driven time series model for forecasting basketball match results |
| 45 | Malak Almutairi[S] | Modelling Composition Response Data with Application to Clot Composition Observed for Acute Ischemic Stroke (AIS) Patients |
| 46 | Adam Korczynski | Discovering patterns in categorical data |
| 47 | Rebecca Ndukwe[S] | Modelling Depression Recovery Patterns of PHQ-9 Among Older Adults |
| 48 | Luisa Ferrari | Clustering metabarcoding data: a model-based approach |
| 49 | Arnošt Komárek | Computational aspects of clustering multivariate longitudinal data of a mixed type |
| 50 | Marco Simnacher[S] | Generalized Additive Models for Graph-Valued Data with an Application to European Air Transportation |
| 51 | Chaoyi Lu | A Zero-Inflated Poisson Latent Position Cluster Model |
| 52 | Abdur Rahman[S] | On Designing EWMA Charts to Model Demographic Trends with Generalized Extreme Value Distribution |
| 53 | Rosaria Ignaccolo | Modeling water pollutants on a river network |
| 54 | Tobias Hepp | Sparse spatial pattern selection via component-wise gradient boosting |
| 55 | Gabriel Palma[S] | Household TV profiles estimation using model-based clustering and Bayesian modelling |
| 56 | Cormac MacDermott[S] | Bayes-ically fair: A Bayesian Ranking of the Olympic Medal Table |
| 57 | Roman Pfeiler[S] | A flexible Bayesian panel data model for analyzing binary response data using Pólya-Gamma random variables |
| 58 | Zhi Chen | Markov Chain Based Analytical Methods to Gain Insights into IPTV Customer Behaviour |
| 59 | Jamie Wilson | Probabilistic Risk Ranking for Chemical Contaminants in Food |
| 60 | Enrico Colosimo | Cause-specific regression model for correlated data in the presence of interval censoring |
| 61 | Yueyun Zhu | A Cox model with functional principal component scores to predict insulin initiation in women with gestational diabetes |
| 62 | Sophie Potts[S] | Joint Models for rare events |
| 63 | Pawan Lamsal[S] | Multistate frailty model for interval-censored data under Bayesian framework |
| 64 | Jack Moore[S] | Penalised Piecewise Exponential Distributional Regression Model for Survival Analysis |
| 65 | Lanxin Li | Robustness test for list combination in multiple systems estimation |
| 66 | Dhorasso Junior Temfack Nguefack[S] | Robust Inference in SEIR Models: A Lifebelt Particle Filter Approach |
| 67 | Eishita Yadav[S] | Improving Infectious Disease Models through social contact data: An endemic epidemic framework for disease prediction |
| 68 | Megan O'Sullivan[S] | A Simulation framework for expanding eligibility criteria in clinical trials |
| 69 | Annamaria Guolo | Inference in meta-regression models with log event rates information |
| 70 | Ciarán Courtney O'Toole[S] | A systematic review and meta-analysis of MRI based risk calculators in predicting prostate cancer |
| 71 | Ruggero Bellio | Second-order accurate likelihood inference for meta-analysis of comparative studies with binary outcomes |
| 72 | Arya Soman[S] | Scoping Review of R Packages for Statistical Analysis and Machine Learning in the OMOP Common Data Model. |
| 73 | Kenan Matawie | Vector Indexing and Hybrid Models in Information Retrieval |