# 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