Posters
Applied Probability
Mnerh Alqahtani (Warwick): Rare events computations of non-convex rate functions
Krzysztof Szajowski (Wrocław): A measure of the importance of roads based on topography and traffic intensity
Bayesian Statistics
Nazmul Ahsan (Montreal): On outlier robustness of Bayesian analysis for the stochastic volatility model
Filippo Ascolani (Mailand): Predictive inference with Fleming–Viot-driven dependent Dirichlet processes
Chris Carmona (Oxford): Scalable Modularised Bayesian Inference with Normalising Flows
Suman Guha (Kolkata): Bayesian Analysis with Gaussian Random Functional Dynamic Spatio-Temporal Model
Siddhesh Kulkarni (Louisville): Data augmentation algorithm for Bayesian von Mises mixture distribution
Inass Sekkat (Paris): Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics
Deborah Sulem (Oxford): Bayesian estimation of nonlinear Hawkes processes
Case studies in statistics
Macy Belle (San Antonio): Stochastic SIR-based Examination of the Policy Effects on the COVID-19 Spread in the U.S. States
Jeremy Garcia (San Antonio): Quantum Computation, Quantum Information, and Its Impact on Data Science
Laura Gunn (Charlotte, London): Impact of the Luton Social Prescribing Programme on Energy Expenditure: Case Study Using Bayesian Zero-Inflated Negative Binomial Modeling
Nathan Kim (San Antonio): A Statistician Teaches Deep Learning: From Fundamentals to Applications
George Mbaeyi (Ndufu-Alike): On Discriminant Analysis with Mixed Non-normal Variables
Oluwaseun Otekunrin (Ibadan): Farmers’ Preferences for Farming Enclaves in Nigeria: A Discrete Choice Experiment
Mina Song (San Antonio): Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine
Brahim Zirari (Saida): How to measure democracy in empirical research : A statistical review case of Algeria
Computational statistics
Stanislav Anatolyev (Prague): Shrinkage for Gaussian and t Copulas in Ultra-High Dimensions
Wenyu Chen (Boston): Multivariate Convex Regression at Scale
Andrea C. Garcia Angulo (Leuven): Bootstrap confidence intervals for post selection and model averaging estimators
Wei Jiang (Palaiseau): missKnockoff: controlled variable selection with missing values
Shuhei Mano (Tokio): An algorithm for direct sampling from toric models with computational algebra
Daniel Leonardo Ramírez Orozco (Pernambuco): On Stochastic Comparison using majorization
High-dimensional Statistics
Michael Celentano (Stanford): The Lasso with general Gaussian design with application to hypothesis testing
Xiongzhi Chen (Pullman): Estimating the proportion of false null hypotheses via integral equations
Aziz Lmakri (Tétouan): Randomness or non-linearity: optimal detection for high dimensional data
Kangyang Luo (Shanghai): An Improved SVM-RFE Based on F-Statistic and mPDC for Gene Selection in Cancer Classification
Yuetian Luo (Madison): Tensor clustering with planted structures: Statistical optimality and computational limits
Michael LuValle (New Brunswick): Some issues of inference in high dimensional chaotic systems
Kimon Ntotsis (Thessaloniki): Multivariate Dimensionality Reduction for Public Pension Benefits Forecasting
Lu Zhang (Boston): Floodgate: inference for model-free variable importance
Integrable probability
Milind Hegde (Berkeley): Probabilistic and geometric investigations of KPZ: Brownian Gibbs, geodesic watermelons, and bootstrapping
Andrei Prokhorov (Ann Arbour): On beta =6 Tracy-Widom distribution and the second Calogero-Painleve system
Chenyang Zhong (Stanford): Large deviation bounds for the Airy point process
Limit theorems, large deviations and extremes
Arturo Jaramillo Gil (Luxembourg): Stein's method in probabilistic number theory
Yin-Ting Liao (Providence): Sharp large deviations for random projections of high-dimensional measures
Partha Pratim Ghosh (Delhi): Large Deviations for the Right-most Position of a Last Progeny Modified Branching Random Walk
Alexander Sakhanenko (Novosibirsk): First-passage times for random walks in the triangular array setting
Yvik Swan (Bruxelles): Stein discrepancies between univariate distributions
Zbigniew Stanisław Szewczak (Toruń): A. de Moivre theorem revisited
Mathematical finance
Nazmul Ahsan (Montreal): Simple Efficient Estimators for Multivariate Stochastic Volatility Models
Tanut Treetanthiploet (Oxford): Gittins' Theorem under uncertainty aversion
Network analysis and causal modeling
Johannes Buck (Munich): Recursive max-linear models with propagating noise
Lihua Lei (Stanford): Conformal Inference of Counterfactuals and Individual Treatment Effects
Nonparametric Statistics
Serifat Folorunso (Ibadan): Bayesian Semi-Parametric Modeling of Infertility in Nigeria
Felix Gnettner (Magdeburg): Depth-based two sample testing
Usama Sattar (Islamabad): Performance of Non-Parametric Regression estimators in presence of skewed distribution
Andrej Srakar (Ljubljana): Wavelet regressions in symplex spaces
Probabilistic models in biology
Alejandra Christen (Valparaiso): Asymptotic behavior of a stochastic epidemic model with a bilinear incidence rate
Paulo Tadeu de Oliveira (São Carlos): Importance of social distance in controlling the COVID-19 epidemic in Brazil
Hayato Takahashi: Computation of the exact distributions of the words
Nantawat Udomchatpitak (Bangkok): The Effect of Recombination on the Speed of Evolution
Probabilistic models in physics
Watthanan Jatuviriyapornchai (Bangkok): Inclusion Process: its structure of the condensed phase
Naoki Kubota (Tokio): Continuity for the asymptotic shape in the frog model with random initial configurations
George Liddle (Lancaster): Scaling Limits of a Planar Random Growth Process
Shangjie Yang (Rio): Cutoff for polymer pinning dynamics in the repulsive phase
Random discrete structures
He Guo (Atlanta): Packing Nearly Optimal Ramsey R(3,t) Graphs
Tejas Iyer (Birmingham): Condensation in preferential attachment models with neighbourhood influence
Alexander Sakhanenko (Novosibirsk): Discrete Conditioned Random Walks with Random Local Constraints
Anirudh Sridhar (Princeton): Correlated Randomly Growing Graphs
Random matrices
Thibaut Lemoine (Paris): The master field on compact surfaces
Statistical methods in Machine Learning
Mina Aminghafari (Teheran): A Stratified Sampling Based on Clustering Algorithms for Big Data
Chirag Gupta (Pittsburgh): Nested conformal prediction and quantile out-of-bag ensemble methods
Zeyang Jia (Hefei): Weighting Methods to Maximize the Power of Hypothesis Tests on Bandit Data
Ismael Lemhadri (Stanford): LassoNet: A Neural Network with Feature Sparsity
Takeru Matsuda (Riken): Estimation of non-normalized mixture models and clustering using deep representation
Adel Mohammadpour (Teheran): Model Selection versus Method Selection
Victor de la Pena (New York): From Decoupling and Self-Normalization to Machine Learning
Aleksandr Podkopaev (Pittsburgh): Distribution-free binary classification: prediction sets, confidence intervals and calibration
Kévin Allan Sales Rodrigues (São Paulo): Inference and Diagnostics in LAD models
Samuel Ady Sanjaya (Bandung) & Suryo Adi Rakhmawan (Jakarta): Against Hoax: Spam Detection in Social Media
Kris Sankaran (Madison): Measuring the Stability of Learned Features
Albert Senen (Eindhoven): Almost Sure Convergence of Dropout Algorithms for Neural Networks
Feicheng Wang (Boston): Exact Asymptotics of Adaptive Control for the Linear Quadratic Regulator
Min Xu (Shanghai): Deeping learning based bias correction for numerical chemical transport models
Stochastic analysis
Francesca Anceschi (Modena): Existence of a Fundamental Solution of Partial Differential Equations associated to Asian Options
Adrián Hinojosa Calleja (Barcelona): Anisotropic Gaussian random fields: Criteria for hitting probabilities and applications
Oxana Manita (Einhoven): On exponential convergence of 1D Markov diffusions to heavy-tailed invariant density
Vadim Platonov (Edinburgh): Generalised It\^o formula for expansion in measure
Eya Zougar (Monastir): Spatial quadratic variations for the solution to SPDE with elliptic divergence form
Stochastic numerics
Mariya Mamajiwala (London): Stochastic dynamical systems developed on Riemannian manifolds
Statistics of stochastic processes
Imma Valentina Curato (Ulm): Inheritance of strong mixing and weak dependence under renewal sampling
Lukas Trottner (Mannheim): A Markovian perspective on overshoots of Lévy processes with statistical applications
George Wynne (London): A Kernel Two-Sample Test for Functional Data
Stochastic Processes
Hong-Bin Chen (New York): Atypical exit events near a repelling equilibrium
Fraser Daly (Edinburgh): Compound geometric approximation for Markov chain hitting times
Nathaniel Eldredge (Greeley): Transportation duality and functional inequalities for Markov kernels
Ankan Ganguly (Providence): Beyond Mean Field Limits: Local Approximations of Interacting Particle Systems on Trees
Iqra Altaf Gillani (Delhi): A Stochastic Process on a Network with Connections to Laplacian Systems of Equations
Chenlin Gu (Lyon): Decay of semigroup for an infinite interacting particle system on continuum configuration spaces
Chong Liu (Oxford): Adapted topologies and higher rank signatures
Chitaranjan Mahapatra (San Francisco): Quantitative studies of autonomic nervous system activities in urinary bladder smooth muscle cells towards bladder overactivities
Time series analysis and econometrics
Varun Agiwal (Ajmer): Study the Trend Pattern in COVID-19 using Spline-Based Time Series Model: A Bayesian Paradigm
Nazmul Ahsan (Montreal): Volatility forecasting and option pricing with higher-order stochastic volatility models
Olayemi Joshua Ibidoja (Gusau): Forecasting Rice Production in Nigeria using Autoregressive Integrated Models
Sayar Karmakar (Gainesville): Optimal Gaussian Approximation and Applications
Philipp Klein (Magdeburg): A MOSUM approach for the estimation of change points in processes satisfying strong invariance principles
Chijioke Nweke (Ndufu-Alike): Marginal Regression Models for Mixed Response Variables