Program
ISNPS 2026 - Session Schedule
Monday, June 22
9:00 - 9:30 | Opening (Room: GARDEN HALL)
9:30 - 10:30 | Peter Hall Lecture (Chair: George Michailidis; Presenter: Jianqing Fan; Room: GARDEN HALL)
10:30 - 11:00 | Coffee Break
11:00 - 13:00 | Parallel Sessions I (9 Sessions)
Bayesian
Bayesian nonparametrics methods and applications
- Jim Griffin
- debajyoti sinha
- Beatrice Franzolini
- Artiom Rumiancev
Time Series
Time series analysis for modern data
- Anna Bykhovskaya
- Maximilian Ofner
- Daniel Strenger-Galvis
Generative AI
Nonparametric Foundations of Generative AI
- Minwoo Chae
- Changxiao Cai
- Bryon Aragam
High-Dimensional
Structural inference in high-dimensional models
- Paulo Serra
- Farida Enikeeva
- Rui Castro
- Paul Rognon-Vael
Copulas
Nonparametric Copula-Based Methods for Dependence Modeling
- Félix Camirand Lemyre
- Karim Oualkacha
- Bouchra Nasri
- Bruno Remillard
Extremes
Extremes, Statistical learning and Applications
- Yi He
- Pavlo Mozharovskyi
- Simone Padoan
- John Einmahl
Session
Non- and semiparametric methods for biomedical applications
- Michael Daniels
- Samuel Wu
- Sanjib Basu
- SOMNATH DATTA
Sequential Methods
Recent developments in online/sequential procedures
- Ya’acov Ritov
- Cun-Hui Zhang
- Yuekai Sun
- George Michailidis
Contributed • Time Series
Contributed: Time Series, Spectra and Dynamic Dependence
Contributed session (5 talks)
- Ilaria Nadin — Nonparametric two sample test of spectral densities
- Carina Beering — Empirical energy distance for locally stationary processes
- Gabriel Martos — Singular Spectrum Analysis Revisited: Frequency Recovery, Spectral Consistency, and Window…
- Georgios Gkyzis — Quantifying linear instantaneous Granger causality
- Akylas Fotiadis — Detection of Higher-Order Interactions in Complex Dynamical Systems
13:00 - 14:30 | Lunch
14:30 - 16:30 | Parallel Sessions II (9 Sessions)
Bayesian
Recent advances in Bayesian nonparametrics
- Valentina Ghidini
- Jim Griffin
- Sebastiano Bianchi
- Ramses Mena
Networks
Network and Tensor Time Series
- Mirko Armillotta
- Andreas Anastasiou
- matteo iacopini
High-Dimensional
Structured High-Dimensional Inference
- Ilias Zadik
- Juntong Chen
- Jaouad Mourtada
- Claire Boyer
Inference
New Frontiers in Inference for Complex Data
- Arun Kuchibhotla
- Bilol Banerjee
- Zijun Gao
- Cody Carroll
Econometrics
Specification Testing
- Juan Manuel Rodriguez-Poo
- Yuhao Li
- Juan Carlos Escanciano
- Conde-Amboage
Complex Systems
Nonparametric Estimation for Complex Systems
- Evgeny Pchelintsev
- Igor Rodionov
- Liubov Markovich
- Natalia Markovich
Geometry
Statistics on Non-Euclidean spaces
- Susovan PAL
- Christoph von Tycowicz
- Alfred Kume
- Matthias Glock
Functional Data
Recent Developments in Functional Methods
- Sophie Dabo
- Aldo Clemente
- Veronica Biancacci
- Marco Stefanucci
Contributed • Functional Data
Contributed: Functional Data, Density Regression and Dimension Reduction
Contributed session (5 talks)
- Eliana Christou — Sufficient Dimension Reduction for Conditional Quantiles for Functional Data
- Tim Greger — Nonparametric quantile regression in the fully functional model
- Laura Freijeiro González — A novel approach to covariate selection in the asynchronous functional concurrent model
- Han Lin Shang — Density-valued time series: Nonparametric density-on-density regression
- Johannes Feeser — Scalar-on-density regression with sparsely observed densities
16:30 - 17:00 | ISNPS General Assembly (Room: GARDEN HALL)
17:30 - 19:00 | Welcome Reception (Room: Conference Venue)
Tuesday, June 23
8:30 - 10:30 | Parallel Sessions III (10 Sessions)
Bayesian
Modern nonparametric Bayesian statistics
- Maria De Iorio
- Raffaele ARGIENTO
- Jaeyong Lee
- Seongil Jo
Time Series
High-dimensional Time Series
- Tommaso Proietti
- Marie Corillon
- Chun Yip Yau
- Anass Y El Yaagoubi
Generative AI
Generative Models in Distribution Estimation
- Niklas Dexheimer
- Sophie Langer
- Lea Kunkel
- Lorenzo Tedesco
Inference
Recent advances in data beyond independence
- Arkajyoti Saha
- Tapabrata Maiti
- Madhab Barman
- Subhabrata majumdar
Econometrics
Recent Advances in Financial Econometrics
- Timo Dimitriadis
- Jordi Llorens-Terrazas
- Hui-Ching Chuang
- Sander Barendse
Complex Data
Complex, partial or surrogate data in prediction
- Ilias Willems
- Yair Goldberg
- Tanya Garcia
- Layla Parast
Machine Learning
Contributions to Understandable Machine Learning
- Johannes Lederer
- Katarzyna Reluga
- Nadja Klein
- stefan sperlich
Dependence Modeling
Recent advances on data with complex structure
- Moulinath Banerjee
- Housen Li
- Samriddha Lahiry
- S. Yaser Samadi
Networks
Random networks, clustering and embeddings
- Joshua Agterberg
- Srijan Sengupta
- Francesco Sanna Passino
- Marianna Pensky
Contributed • Dependence
Contributed: Spatial, Spatio-Temporal and Dependent Processes
Contributed session (5 talks)
- Ana C Cebrian — Spatio-temporal modeling for record-breaking events: An application to temperature daily se…
- Marco Francesco De Sanctis — Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric re…
- Charbel Al Tannoury — Record probabilities under dependence: operator-norm bounds and extremal control
- Antonio Fioravanti — Nonparametric Covariance Estimation with Bias Correction for Spatial Lattice Processes
- Christian Wurtz — Structural analysis in matrix-autoregressive models
10:30 - 11:00 | Coffee Break
11:00 - 12:00 | Keynote Talk (Chair: Antonio Lijoi; Presenter: Daniela Witten; Room: GARDEN HALL)
12:00 - 13:30 | Lunch
13:30 - 15:30 | Parallel Sessions IV (11 Sessions)
Nonparametric
At the frontier of modern nonparametric statistics
- Wen-Hung Wang
- Yilei Zhang
- Derek Young
- Michael Levine
Time Series
Complex time series analysis
- Edward Eriksson
- Wenyang Zhang
- Ke Zhu
- QIWEI YAO
Learning Methods
Kernel, Bandit, and Preference-Based Methods
- Cong Ma
- Yuan Zhong
- Rong Ma
Extremes
Nonparametric methods for multivariate extremes
- Ioannis Papastathopoulos
- Vicky Fasen-Hartmann
- Stefano Rizzelli
- Junshu Jiang
Econometrics
Topics in econometrics
- Bertille Antoine
- Andrii Babii
- Elia Lapenta
- Pascal Lavergne
Resampling
Resampling method in non-standard frameworks
- Anna Dudek
- Zuzanna Maciszewska
- Kejin Wu
- Ping Ma
Privacy
Privacy in Statistics : Recent advances
- Marco Avella Medina
- Lasse Vuursteen
- Marco Mondelli
- Karolina Klockmann
Survival Analysis
Advances in Survival Analysis
- Adrián Lago
- Carolin Drenda
- Yuxiang Zong
- Rebecca Betensky
High-Dimensional
Topics on high-dimensional and complex data
- Ines Wilms
- Jing Zhou
- Sofia Guglielmini
- Andreas Artemiou
Contributed • Testing
Contributed: Testing, Goodness-of-Fit and Distribution Theory
Contributed session (5 talks)
- Daniel Diz-Castro — Goodness-of-fit tests for infinite-dimensional regression models: the kernel approach
- Paschalis Mavridis — Goodness-of-Fit testing for the hazard rate function
- Alberto Fernández de Marcos — Testing homogeneity across circular k-samples
- Marcos Romero-Madroñal — A test for the equality of a U-estimable parameter
- James S. Allison — Testing exponentiality for fixed and diverging number of populations
Contributed • Robustness
Contributed: Quantiles, Ranks and Robust Inference
Contributed session (4 talks)
- Leonardo Leone — Massive parallelization of projection-based depths
- Tommaso Lando — Nonparametric inference based on expected order statistics
- Zexin Pan — Quasi-Monte Carlo confidence intervals using quantiles of randomized nets
- Martin Geroldinger — A Unified Approach for Rank-Based Trend Inference with Missing Values
15:30 - 16:00 | Coffee Break
16:00 - 18:00 | Parallel Sessions V (11 Sessions)
Shape Constraints
Shape Constrained Statistical Inference
- Adityanand Guntuboyina
- Tsz Pang Yuen
- Lutz Duembgen
- Moumita Chakraborty
Uncertainty Quant
Uncertainty Quantification for Machine Learning
- Likai Chen
- B. Cooper Boniece
- Wanrong Zhu
Domain Adapt
Domain Adaptation & Semi-supervised Methods
- Yanyuan MA
- Mengyan Li
- Xavier de Luna
- Malka Gorfine
Inference
Statistical inference for complex data structures
- Dan Nordman
- Robert Lunde
- Anirban Mandal
- Soumendra Lahiri
Estimation
Advances in nonparametric estimation
- Oleg Lepski
- Yannick Baraud
- Fadoua Balabdaoui
- Anatoli Juditsky
Functional Data
Topics in Time Series and Functional Data Analysis
- Rainer von Sachs
- Jean-Marc Freyermuth
- Konstantinos Fokianos
- Eugen Pircalabelu
Machine Learning
Statistical machine learning for complex data
- Sumanta Basu
- I Martinez Hernandez
- Haozhe Jiang
- Johannes Lederer
Functional Data
Advances in modeling random functions data
- Shunan Yao
- Rintaro Ichiya
- Hassan Maissoro
- Lijia Wang
Networks
Statistical Learning in Network Models
- Zhou Fan
- Olga Klopp
- Siddharth Vishwanath
- Bhaswar Bhattacharya
Complex Data
Nonparametric Methods for Complex and Nonstationary Data
- francois bertholom
- Dumont Thierry
- Łukasz Lenart
- Łukasz Lenart
Complex Data
Computer-intensive statistical inference for complex data
- Michael Scholz
- Wan Zhang
- Anand Deo
- Elen Vardanyan
18:00 - 19:00 | Student Poster Session (includes drinks and snacks)
Wednesday, June 24
9:00 - 11:00 | Parallel Sessions VI (11 Sessions)
Modeling
Flexible and Nonparametric Methods in Modelling
- Ioannis Kosmidis
- Camilo Cardenas-Hurtado
- Mona Azadkia
- Nikos Demiris
Inference
New Directions in Nonparametric Methods
- Jeffrey Racine
- Jesús Arroyo
- Michael Donath
- Sayan Chakrabarty
Time Series
Non-parametric methods for complex Time Series
- Michael Eichler
- Yan Liu
- Giovanni Motta
- Darlin Soto
Biomedical
Leveraging AI for Problems in Public Health
- Gong Tang
- Xiaowu Dai
- Mladen Kolar
- Eric Laber
Causal Inference
Randomization and Causation
- Oliver Hines
- Florian Stijven
- David Benkeser
- Xinran Li
Memorial
In memory of Professor Alain Berlinet
- Pierre-André Cornillon
- Christian Francq
- Sylvain Sardy
Ranking
Recent Advances in Statistical Ranking
- Yunxiao Chen
- Yuanhang Luo
- Weichen Wang
- Lingfeng Lyu
FDR
Novel False Discovery Rate Methodology
- William Fithian
- Zijun Gao
- ruth heller
- Yuval Benjamini
Nonparametric
Nonparametrics
- Federica Stolf
- Ivan Golovko
- Lorenzo Ghilotti
- Nicola Bariletto
Contributed • Survival
Contributed: Survival, Censoring and Event-Time Modeling
Contributed session (5 talks)
- Ömer Sercik — Nonparametric Estimation of the Cross Ratio Function under Right Censoring
- Fatemeh Mahmoudi — Penalized Variable Selection with Broken Adaptive Ridge Regression for Semi- competing Risk…
- Vlad Stefan Barbu — Kernel estimators of the reliability/survival function and related indicators for semi-Mark…
- Dragi Anevski — Order restricted estimation of the parameter functions in an additive hasard model
Contributed • High-Dim
Contributed: High-Dimensional Learning, Neural Methods and Modern Computation
Contributed session (3 talks)
- Jan Kalina — From robust neural networks toward robust nonlinear quantile estimation
- Eleni Papadopoulou — A comparative study of Reservoir Computing and LSTM neural network for trajectory reconstru…
- Gil Kur — Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of $2$-Uniform C…
11:00 - 11:30 | Coffee Break
11:30 - 12:30 | Keynote Talk (Chair: Jeff Racine; Presenter: Xuming He; Room: GARDEN HALL)
12:30 - 14:00 | Lunch
14:00 - 19:00 | Free Time / Optional Excursion: Vergina - The Royal Tombs
Thursday, June 25
8:30 - 10:30 | Parallel Sessions VII (10 Sessions)
Hypothesis Testing
Hypothesis testing and related topics
- Melanie Birke
- Marius Kroll
- Bojana Milošević
- Leonie Selk
Causal Inference
Temporal Modeling and Causal Inference
- Mengyi Gong
- Souhaib Ben Taieb
- Niels Richard Hansen
- Waverly Wei
Survival Analysis
Recent advances in survival analysis
- Donglin Zeng
- Juan Carlos Escanciano
- Myrthe D'Haen
- Yael Travis-Lumer
Time Series
Time series analysis, modelling and applications
- Yufei Li
- Andrew Harvey
- Alessandro Giovannelli
- Philipp Sibbertsen
Geometry
At the intersection between geometry and statistics
- GABRIELE NOVELLI
- Monsan
- Florence Nicol
- Gabriel Romon
Functional Data
Modeling complex functional data
- Uche Mbaka
- Lisa Steyer
- Ilenia Di Battista
- Alessia Pini
Resampling
Resampling for Complex Data Problems
- Karl Gregory
- Ulrike Genschel
- Chae Young Lim
- Haihan Yu
Nonparametric Testing
Estimators and tests for nonparametric models
- Sami Umut Can
- Natalie Neumeyer
- Anton Schick
- Natalia Stepanova
Transfer Learning
Transfer Learning in Statistics
- Fan Wang
- Seung Hyun Moon
- Doudou Zhou
- Eun Ryung Lee
Contributed • Geometry
Contributed: Geometry, Manifolds and Object Data
Contributed session (4 talks)
- Héctor González-Vázquez — A minimax manifold estimator for hypersurfaces
- Claudio Durastanti — Adaptive thresholding for heteroskedastic variance estimation on the sphere
- Vida Zamanifarizhandi — Metric Skewness for Object Data
- Daniel Hlubinka — {Multivariate Quantile-Based Permutation Tests with Application to Functional Data
10:30 - 11:00 | Coffee Break
11:00 - 12:00 | Keynote Talk (Chair: Juan Carlos Escanciano; Presenter: Ingrid Van Keilegom; Room: GARDEN HALL)
12:00 - 13:30 | Lunch
13:30 - 15:30 | Parallel Sessions VIII (11 Sessions)
Partitioning
Partitioning Methods
- Matias Cattaneo
- Ben Deaner
- Da (Natasha) Kang
- Mahdi Ebrahimi Kahou
Learning
Learning in complex data settings
- Subha Maity
- Matteo Bonvini
- Wenceslao González Manteiga
- Marianthi Markatou
Biometrika
Biometrika session
- Anirban Chatterjee
- Alessandra Guglielmi
- Nikolaos Ignatiadis
- Kangjie Zhou
TBA
ISNPS Student Paper Competition
- Ivan Golovko
- Alberto Bordino
- Ziang Niu
Network Inference
New nonparametric inference & modeling on network data
- Rong Chen
- Fan Yang
- Ji Zhu
Nonparametric Learning
Frontiers in Nonparametric Learning: From Classical Regression to Complex High-Dimensional Models
- Yuedong Wang
- Guo Yu
- Kevin Wang
- Tiejun Tong
Econometrics
Topics in Econometrics I
- Laura Liu
- Eric Mbakop
- Artem Prokhorov
- Shakeeb Khan
Robust Statistics
Modern Methods and Applications in Robust Nonparametric Statistics
- Jiahua Chen
- Peter Rousseeuw
- Jiashun Jin
- Yiyuan She
Networks
Recent Advances in Statistical Analysis for Graphs and Networks
- Weijing Tang
- Rui Duan
- Yizhe Zhu
- Cheng Mao
Complex Data
Computer-intensive statistical inference for complex data
- Patrice Bertail
- Carsten Jentsch
- Yunyi Zhang
- Daren Wang
Contributed • Structured Data
Contributed: Structured Data, Ranking and Classification
Contributed session (5 talks)
- Edward David Roth — Debiased Ill-Posed Functional Operator Estimation
- Daniel Peer — On the Edgeworth expansion of the maxima and the blessings of dimensionality
- Bernardo Nipoti — Partition-based discriminant analysis
15:30 - 16:00 | Coffee Break
16:00 - 18:00 | Parallel Sessions IX (11 Sessions)
Missing Data
Recent developments in missing data and causal inference
- Yanqing Sun
- Ignacio Gonzalez Perez
- Máté Kormos
- Jose Zubizarreta
Testing
Goodness-of-fit and specification tests
- Lujia Bai
- Amparo Baíllo
- Bruno Ebner
- Šárka Hudecová
Causal Inference
Topics in Causal Inference
- Laura Forastiere
- Panos Toulis
- Alessio Frosini
- Valentyn Melnychuk
Complex Data
Complex data and depth
- José E. Chacón
- Javier Cárcamo
- Alicia Nieto-Reyes
- Luis González-De La Fuente
Time Series
Recent Advances of Time Series Analysis
- Georg Köstenberger
- Sebastian Kühnert
- Daniel Rademacher
- Almond Stoecker
Networks
Modern Network Analysis I
- Sofia Olhede
- Avanti Athreya
- Jingming Wang
- Ian Gallagher
Gaussian Proc
Theory & Computation for Gaussian processes
- Thibault Randrianarisoa
- Bernhard Stankewitz
- Randolf Altmeyer
Multiple Testing
Dependent p-values, exchangeability, and causal coupling
- Jingshu Wang
- Matteo Gasparin
- Richard Guo
- Parijat Chakraborty
Privacy
Recent developments in differential privacy
- Matthew Regehr
- Clément Canonne
- Tom Berrett
Object Data
Advances in Object Data Analysis I
- stephan huckemann
- Mihaela Pricop-Jeckstadt
- Benjamin Beaudett
Contributed • Estimation
Contributed: Estimation, Semiparametrics and Prediction
Contributed session (4 talks)
- Genaro Sucarrat — Prediction of Non-Negative Variables under Misspecification and Nonstationarity
- Maarten Jung — Semi-structured Additive Density Regression
- Laura Craig — Generalised Exponential Kernels for Nonparametric Density Estimation
- Maryam Garba — Nonparametric estimation of evolutionary distances from incomplete genomic data
- Ziang Niu — Robustifying the conditional independence testing via marginal permutation
18:30 - 22:00 | Conference Dinner
Friday, June 26
9:00 - 11:00 | Parallel Sessions X (9 Sessions)
Complex Data
Nonparametric Statistics on Complex Data
- CECILE DUROT
- Yasser Abbas
- Facundo Argañaraz
- Carlos Martins-Filho
Topology
Topological and geometric data analysis
- Anne van Delft
- Christian Hirsch
- Benjamin Roycraft
- Uzu Lim
Networks
Modern Network Analysis II
- Supriya Tiwari
- Alexander Modell
- Yinqiu He
- Zachary Lubberts
Object Data
Advances in Object Data Analysis II
- Aaid Algahtani
- Igor Podlubny
- Vic Patrangenaru
Dependent Data
Nonparametric Methods for Dependent Data
- Souvick Bera
- Ursula U. Müller
- Yurou Liang
- Suhasini Subbarao
Directional Stats
Advances in Directional Statistics
- Diego Bolón
- Jose Ameijeiras-Alonso
- Maria Alonso-Pena
- Andrea Meilán-Vila
Transport
Optimal Transport and Statistical Inference
- Esteban Tabak
- Alberto González Sanz
- Mariela Sued
- Kaiqiang Zeng
Contributed • Applied Methods
Contributed: Applied Nonparametric Methods in Risk, Dependence and Decision
Contributed session (5 talks)
- Max Welz — Robust estimation and inference for categorical data
- Ewa Strzalkowska-Kominiak — Conditional copula estimation under two consecutive censored gap times
- Vadim Marmer — Policy Learning with Compliance Guarantee
- Jone Ascorbebeitia — Nonparametric Tail-Risk Connectedness in Eurozone Energy-Related industries
- Dimitrios Karlis — Random Coefficient extensions for integer autoregressive models: a non-parametric approach
Contributed • Foundations
Contributed: Goodness-of-Fit, Smoothing and Methodological Foundations
Contributed session (5 talks)
- Dario Kieffer — The Weak-Feature-Impact Phase Transition of the NPMLE in Monotone Binary Regression
- Emmanuelle Gautherat — Pinelis' Inequality for Weighted Sums of Random Vectors: Statistical Motivations, Proof Arg…
- Diego Serrano — Goodness-of-fit on metric spaces using distance profiles
- Hanna Jankowski — Robust smoothing splines in the presence of discontinuities
- Rui Costa-Miranda — Neyman-orthogonal goodness-of-fit tests for generalized partially linear models
11:00 - 11:30 | Coffee Break
11:30 - 12:30 | Keynote Talk (Chair: Dimitris Kugiumtzis; Presenter: Dimitris Politis; Room: GARDEN HALL)
12:30 - 13:00 | Closing