Program
ISNPS 2026 - Session Schedule
Monday, June 22
9:00 - 9:30 | Opening
9:30 - 10:00 | Keynote Talk
10:00 - 10:30 | Peter Hall Lecture
10:30 - 11:00 | Coffee Break
11:00 - 13:00 | Parallel Sessions I (10 Sessions)
Bayesian
Bayesian nonparametrics - methods and applications
Org: Sergios Agapiou & Maria Kalli
- Jim Griffin
- Debayoti Sinha
- Beatrice Franzolini
- Artiom Rumiancev
Time Series
Time series analysis for modern data
Org: Alexander Aue
- Anna Bykhovskaya
- Sayar Karmakar
- Maximilian Ofner
- Gregory Rice
Generative AI
Nonparametric Foundations of Generative AI
Org: Bryon Aragam
- Minwoo Chae
- Xinwei Shen
- Changxiao Cai
- Bryon Aragam
High-Dimensional
Structural inference in high-dimensional models
Org: Eduard Belitser
- Paulo Andrade Serra
- Farida Enikeeva
- Rui Pires da Silva Castro
- Paul Rognon-Vael
Copulas
Nonparametric Copula-Based Methods for Dependence Modeling
Org: Taoufik Bouezmarni
- Felix Camirand-Lemyre
- Karim Oualkacha
- Bouchra Nari
- Bruno Rémillard
Transport
Optimal Transport and Statistical Inference
Org: Efstathia Bura
- Esteban Tabak
- Alberto Gonzalez Sanz
- Mariela Sued
- Kaiqiang Zeng
Extremes
Extremes, Statistical learning and Applications
Org: Abdelaati Daouia
- John Einmahl
- Yi He
- Pavlo Mozharovskyi
- Simone Padoan
Biomedical
Non and semi-parametric Methods for Biomedical Apps
Org: Somnath Datta
- Mike Daniels
- Samuel S. Wu
- Sanjib Basu
- Somnath Datta
Sequential Methods
Recent developments in online/sequential procedures
Org: Moulinath Banerjee
- Yaacov Ritov
- Cun-hui Zhang
- George Michailidis
- Yuekai Sun
Contributed • Time Series
Contributed: Time Series, Spectra and Dynamic Dependence
Org: 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,…
- 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 (10 Sessions)
Bayesian
Recent advances in Bayesian nonparametrics
Org: Beatrice Franzolini
- Francesco Gaffi
- Maria Kalli
- Antonio Lijoi
- Rames Mena
Networks
Network and Tensor Time Series
Org: Kostas Fokianos
- Mirko Armillotta
- Andreas Anastasiou
- Michael Weylandt
- Matteo Iacopini
High-Dimensional
Structured High-Dimensional Inference
Org: Olga Klopp
- Claire Boyer
- Ilias Zadik
- Juntong Chen
- Jaouad Moutarda
Inference
New Frontiers in Inference for Complex Data
Org: Paromita Dubey
- Arun Kumar Kuchibhotla
- Bilol Banerjee
- Zijun Gao
- Cody Caroll
Econometrics
Specification Testing
Org: Miguel Delgado
- Juan Rodríguez-Poo
- Yuhao Li
- Juan Carlos Escanciano
- Mercedes Conde Ambogae
State Space Models
Nonparametric State Space Models
Org: Natalia Markovich
- Natalia Markovich
- Igor Rodionov
- Liubov Markovich
- Evgeny Pchelintsev
Geometry
Statistics on Non-Euclidean spaces
Org: Stephan Huckemann
- Susovan Pal
- Christoph von Tycowicz
- Alfred Kume
- Thomas Hotz
Functional Data
Recent Developments in Functional Methods
Org: Michelle Carey
- Sophie Dabo
- Aldo Clemente
- Veronica Biancacci
- Marco Stefanucci
Machine Learning
Intersection of Statistics and machine learning
Org: Eric Matzner-Lober
- Nick Hengartner
- Elodie Brunel
- Christian Francq
Contributed • Functional Data
Contributed: Functional Data, Density Regression and Dimension Reduction
Org: 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…
- 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
17:30 - 19:00 | Opening Reception
Tuesday, June 23
8:30 - 10:30 | Parallel Sessions III (11 Sessions)
Bayesian
Modern nonparametric Bayesian statistics
Org: Jaeyong Lee
- Maria De Iorio
- Raffaele Argiento
- Kwangmin Lee
- Seongil Jo
Time Series
High-dimensional Time Series
Org: Richard Davis & K. Fokianos
- Tommaso Proietti
- Hernando Ombao
- Alex Aue
- YAU Chun Yip
Generative AI
Generative Models in Distribution Estimation
Org: Lea Kunkel
- Niklas Dexheimer
- Wei Huang
- Arthur Stéphanovitch
- Sophie Langer
Inference
Recent advances in data beyond independence
Org: Sayar Karmakar
- Arkajyoti Saha
- Tapabrata Maiti
- Madhav Barman
- Subhabrata majumdar
Econometrics
Recent Advances in Financial Econometrics
Org: Juan Carlos Escanciano
- Timo Dimitriadis
- Jordi Llorens-Terrazas
- Zaichao Du
- Sander Barendse
Complex Data
Complex, partial or surrogate data in prediction
Org: Yanyuan Ma
- Tianxi Cai
- Yair Goldberg
- Tanya Garcia
- Layla Parast
Machine Learning
Contributions to Understandable Machine Learning
Org: Stefan Sperlich
- Johannes Lederer
- Katarzyna Reluga
- Nadja Klein
- Stefan Sperlich
Dependence Modeling
Recent advances on data with complex structure
Org: George Michailidis
- Mouli Banerjee
- Housen Li
- Samriddha Lahiry
- Yaser Samadi
Networks
Random networks, clustering and embeddings
Org: Marianna Pensky
- Joshua Agterberg
- Srijan Sengupta
- Francesco Sanna Passino
- Marianna Pensky
Contributed • Econometrics
Contributed: Econometrics, Risk and Policy Learning
Org: Contributed session (5 talks)
- Hassan Doosti — Quantile Density Function Methods for Private Value Recovery in First-Price…
- Yue Fang — Semiparametric Efficiency in Policy Learning with General Treatments
- Jone Ascorbebeitia — Nonparametric Tail-Risk Connectedness in Eurozone Energy-Related industries
- Daniel Strenger-Galvis — Nonparametric Estimation of Predictive Power
- Eiji Kurozumi — Confidence Sets for the Emergence, Collapse, and Recovery Dates of a Bubble
Contributed • Dependence
Contributed: Spatial, Spatio-Temporal and Dependent Processes
Org: Contributed session (5 talks)
- Ana C Cebrian — Spatio-temporal modeling for record-breaking events: An application to temperature…
- Marco Francesco De Sanctis — Modeling group heterogeneity in spatio-temporal data via physics-informed…
- Charbel Al Tannoury — Record probabilities under dependence: operator-norm bounds and extremal control
- Antonio Fioravanti — Nonparametric Covariance Estimation with Bias Correction for Spatial Lattice…
- Christian Wurtz — Structural analysis in matrix-autoregressive models
10:30 - 11:00 | Coffee Break
11:00 - 12:00 | Keynote Talk
12:00 - 13:30 | Lunch
13:30 - 15:30 | Parallel Sessions IV (11 Sessions)
Nonparametric
At the frontier of modern nonparametric statistics
Org: Michael Levine
- Faming Liang
- Xuanlong Nguyen
- Derek Young
- Michael Levine
Time Series
Complex time series analysis
Org: Qiwei Yao
- Edward Eriksson
- Wenyang Zhang
- Ke Zhu
- Qiwei Yao
Learning Methods
Kernel, Bandit, and Preference-Based Methods
Org: Xiaowu Dai
- Junwei Lu
- Cong Ma
- Yichen Zhang
- Rong Ma
Extremes
Nonparametric methods for multivariate extremes
Org: Raphael Huser
- Ioannis Papastathopoulos
- Vicky Fasen
- Stefano Rizzelli
- Junshu Jiang
Econometrics
Topics in econometrics
Org: Pascal Lavergne
- Bertille Antoine
- Andrii Babii
- Elia Lapenta
- Pascal Lavergne
Complex Data
Nonparametric Methods for Complex Data
Org: Anna Ewa Dudek
- Randal Douc
- Thierry Dumont
- Łukasz Lenart
- Bartosz Majewski
Resampling
Resampling method in non-standard frameworks
Org: Patrice Bertail
- Kejin Wu
- Anna Dudek
- Zuzanna Maciszewska
Privacy
Privacy in Statistics : Recent advances
Org: Tatyana Krivokobova
- Marco Avella Median
- Lasse Vuursteen
- Marco Modell
- Karolina Klockmann
Survival Analysis
Advances in Survival Analysis
Org: Jacobo de Uña Álvarez
- Adrián Lago
- Merle Munko
- Ingrid Van Keilegom
- Rebecca Betensky
Contributed • Testing
Contributed: Testing, Goodness-of-Fit and Distribution Theory
Org: Contributed session (5 talks)
- Daniel Diz-Castro — Goodness-of-fit tests for infinite-dimensional regression models: the kernel…
- Daniel Peer — On the Edgeworth expansion of the maxima and the blessings of dimensionality
- 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
Org: Contributed session (5 talks)
- Leonardo Leone — Massive parallelization of projection-based depths
- Francesco Bravo — Inference for quantile smooth coefficients models
- 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 (10 Sessions)
Shape Constraints
Shape Constrained Statistical Inference
Org: Geurt Jongbloed
- Aditya Guntuboyina
- Eni Musta
- Lutz Dümbgen
- Moumita Chakraborty
Uncertainty Quant
Uncertainty Quantification for Machine Learning
Org: Jiaqi Li
- Elynn Chen
- B. Cooper Boniece
- Wanrong Zhu
- Jiaqi Li
Domain Adapt
Domain Adaptation & Semi-supervised Methods
Org: Tanya P. Garcia
- Yanyuan Ma
- Mengyan Li
- Xavier de Luna
- Malka Gorfine
Inference
Statistical inference for complex data structures
Org: Soumendra Lahiri
- Dan Nordman
- Robert Lunde
- Anirvan Mondal
- Soumen Lahiri
Estimation
Advances in nonparametric estimation
Org: Alexander Goldenshluger
- Oleg Lepski
- Yannick Baraud
- Fadoua Balabdaoui
- Anatoli Juditsky
Functional Data
Topics in Time Series and Functional Data Analysis
Org: Hernando Ombao
- Rainer von Sachs
- Jean-Marc Freyermuth
- Konstantinos Fokianos
- Eugene Pircalabelu
Machine Learning
Statistical machine learning for complex data
Org: Ines Wilms
- Sumanta Basu
- Israel Martinez Hernandez
- Haozhe Jiang
- Johannes Lederer
Functional Data
Advances in modeling random functions data
Org: Valentin Patilea
- Shunan Yao
- Rinka Sagawa
- Myriam Vimond
- Lijia Wang
Networks
Statistical Learning in Network Models
Org: Somabha Mukherjee
- Zhou Fan
- Olga Klopp
- Siddharth Vishwanath
- Bhaswar Bhattacharya
Contributed • Machine Learning
Contributed: Generative Models and Modern Machine Learning
Org: Contributed session (5 talks)
- Lorenzo Tedesco — Nonparametric estimation of conditional probability distributions using a…
- Michael Scholz — Local Machine Learning for Distributed Data Giants with an Application to Hedonic…
- Wan Zhang — Regularizing BELIEF with Sequency Lasso
- Anand Deo — SSGEN: Simulation of Distribution Tails using Generative models
- Vahan Arsenyan — Assessing the quality of denoising diffusion models in Wasserstein distance: noisy…
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
Org: Kostas Kalogeropoulos
- Ioannis Kosmidis
- Camilo Cardenas Hurtado
- Mona Azadkia
- Kostas Kalogeropoulos
Inference
New Directions in Nonparametric Methods
Org: Hira Koul & Nilanjan Chakraborty
- Robert Lunde
- Jesús Arroyo
- Dhrubajyoti Ghosh
- Sayan Chakraborty
Transfer Learning
Transfer Learning in Statistics
Org: Byeong U. Park
- Fan Wang
- Seung Hyun Moon
- Doudou Zhou
- Eun Ryung Lee
Biomedical
Leveraging AI for Problems in Public Health
Org: Ali Shojaie
- Eric Laber
- Lexin Li
- Xiaowu Dai
- Mladen Kolar
Causal Inference
Randomization and Causation
Org: Mats Stensrud
- Oliver Hines
- Linbo Wang
- David Benkeser
- Xinran Li
Memorial
In memory of Professor Alain Berlinet
Org: Eric Matzner-Lober
- Erwan Le Pennec
- Sylvain Sardy
- Pierre André Cornillon
Ranking
Recent Advances in Statistical Ranking
Org: Junhui Wang
- Yunxiao Chen
- Ruijian Han
- Weichen Wang
- Junhui Wang
FDR
Novel False Discovery Rate Methodology
Org: Kostas Fokianos & Ruth Heller
- Will Fithian
- Etienne Roquain
- Ruth Heller
- Yuval Benjamini
Bayesian
Recent Modeling and Computational Advances in Bayesian Nonparametrics
Org: Antonio Lijoi
- Federica Stolf
- Ivan Golovko
- Lorenzo Ghilotti
- Nicola Bariletto
Contributed • Survival
Contributed: Survival, Censoring and Event-Time Modeling
Org: 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-…
- Yuxiang Zong — Survival analysis under label shift
- Gilles Crommen — Tests of exogeneity in duration models with censored data
- 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
Org: Contributed session (5 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…
- Abbas Khalili — Sparse mixture-of-experts generalized linear models in ultrahigh dimensions
- Florian Scholze — A high-dimensional semi-parametric item response model for ordinal data
- Gil Kur — Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of…
11:00 - 11:30 | Coffee Break
11:30 - 12:30 | Keynote Talk
12:30 - 14:00 | Lunch
14:00 Onwards | Free Time / Excursion
Thursday, June 25
8:30 - 10:30 | Parallel Sessions VII (10 Sessions)
Hypothesis Testing
Hypothesis testing and related topics
Org: Anne Leucht
- Melanie Birke
- Marius Kroll
- Bojana Milošević
- Leonie Selk
Causal Inference
Temporal Modeling and Causal Inference
Org: Mladen Kolar
- Akylas Fotiadis
- Souhaib Ben Taieb
- Niels Richard Hansen
- Waverly Wei
High-Dimensional
Topics on high-dimensional and complex data
Org: Eugen Pircalabelu
- Ines Wilms
- Jing Zhou
- Sofia Guglielmini
- Andreas Artemiou
Survival Analysis
Recent advances in survival analysis
Org: Ingrid Van Keilegom
- Donglin Zeng
- Jacobo de Uña Álvarez
- Myrthe D’Haen
- Yael Travis-Lumer
Time Series
Time series analysis, modelling and applications
Org: Tommaso Proietti
- Yufei Li
- Alessandra Luati
- Alessandro Giovannelli
- Philipp Sibbertsen
Geometry
At the intersection between geometry and statistics
Org: Florence Nicol
- Gabriele Noveli
- Anne-Francoise Yao
- Florence Nicol
Functional Data
Modeling complex functional data
Org: Laura Sangalli
- Michelle Carey
- Sonja Greven
- Ilenia di Battista
- Alessia Pini
Resampling
Resampling for Complex Data Problems
Org: Daniel Nordman
- Karl Gregory
- Ulrike Genschel
- Chae Young Lim
- Haihan Yu
Nonparametric Testing
Estimators and tests for nonparametric models
Org: Ursula Müller
- Sami Umut Can
- Natalie Neumeyer
- Anton Schick
- Natalia Stepanova
Contributed • Geometry
Contributed: Geometry, Manifolds and Object Data
Org: Contributed session (5 talks)
- Anke Steyn — On the geometric interpretation of characteristic functions
- 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
12:00 - 13:30 | Lunch
13:30 - 15:30 | Parallel Sessions VIII (10 Sessions)
Partitioning
Partitioning Methods
Org: Vadim Marmer
- Jason Klusowski
- Benjamin Deaner
- Da Kang
- Mahdi Ebrahimi Kahou
Learning
Learning in complex data settings
Org: Regina Liu
- Subha Maity
- Matteo Bonvini
- Wenceslao Gonzalez Manteiga
- Marianthi Markatou
Biometrika
Biometrika session
Org: Omiros Papaspiliopoulos
- Anirbanc Chatterjee
- Alessandra Guglielmi
- Nikos Ignatiadis
- Kangjie Zhou
TBA
TBA
Org: Jelena Bradic
- Speakers TBA
Network Inference
New nonparametric inference & modeling on network data
Org: Wen Zhou
- Rong Chen
- Zhao Ren
- Ji Zhu
- Wen Zhou
Nonparametric Learning
Frontiers in Nonparametric Learning: From Classical Regression to Complex High-Dimensional Models
Org: Tiejun Tong
- Yuedong Wang
- Guo Yu
- Kevin Wang
- Tiejun Tong
Econometrics
Topics in Econometrics I
Org: Jeffrey S. Racine
- Laura Liu
- Eric Mbakop
- Artem Prokhorov
- Shakeeb Khan
Robust Statistics
Modern Methods and Applications in Robust Nonparametric Statistics
Org: Yiyuan She
- Jiahua Chen
- Peter Rousseeuw
- Jiashun Jin
- Yiyuan She
Networks
Recent Advances in Statistical Analysis for Graphs and Networks
Org: Anderson Ye Zhang
- Weijing Tang
- Rui Duan
- Yizhe Zhu
- Cheng Mao
Contributed • Structured Data
Contributed: Structured Data, Ranking and Classification
Org: Contributed session (5 talks)
- Ziang Niu — Robustifying the conditional independence testing via marginal permutation
- Lingfeng Lyu — Preference-based Centrality and Ranking in General Metric Spaces
- Edward David Roth — Debiased Ill-Posed Functional Operator Estimation
- Stanislav Minsker — U-processes and their application in mean estimation
- Bernardo Nipoti — Partition-based discriminant analysis
15:30 - 16:00 | Coffee Break
16:00 - 18:00 | Parallel Sessions IX (10 Sessions)
Missing Data
Recent developments in missing data and causal inference
Org: Ronghui Lily Xu
- Yanqing Sun
- Mats Stensrud
- Mate Kormos
- Jose Zubizarreta
Testing
Goodness-of-fit and specification tests
Org: Natalie Neumeyer
- Lujia Bai
- Amparo Baillo
- Bruno Ebner
- Sarka Hudecova
Causal Inference
Topics in Causal Inference
Org: Daniel Nevo
- Alessandra Mattei
- Panos Toulis
- Alessio Frosini
- Valentyn Melnychuk
Complex Data
Complex data and depth
Org: Alicia Nieto-Reyes
- José Enrique Chacón
- Javier Cárcamo
- Alicia Nieto-Reyes
- Luis González de la Fuente
Time Series
Recent Advances of Time Series Analysis
Org: Jens-Peter Kreiss
- Georg Köstenberger
- Sebastian Kühnert
- Daniel Rademacher
- Kartik Waghmare
Networks
Modern Network Analysis I [Chaired by Zachary Lubberts]
Org: Zack Lubberts & Avanti Athreya
- Sofia Olhede
- Avanti Athreya
- Jingming Wang
- Ian Gallagher
Gaussian Proc
Theory & Computation for Gaussian processes
Org: Cheng Li
- Thibault Randrianarisoa
- Bernhard Stankewitz
- Randolf Altmeyer
- Cheng Li
Multiple Testing
Dependent p-values, exchangeability, and causal coupling
Org: Stilian Stoev
- Jingshu Wang
- Matteo Gasparin
- Richard Guo
- Parijat Chakraborty
Privacy
Recent developments in differential privacy
Org: Yi Yu
- Matthew Regehr
- Clement Canonne
- Tom Berrett
Contributed • Estimation
Contributed: Estimation, Semiparametrics and Prediction
Org: Contributed session (5 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
- Long Liu — A Panel Cointegration Model with Grouped Patterns of Heterogeneity
- Maryam Garba — Nonparametric estimation of evolutionary distances from incomplete genomic data
18:30 Onwards | Conference Dinner
Friday, June 26
9:00 - 11:00 | Parallel Sessions X (10 Sessions)
Complex Data
Nonparametric Statistics on Complex Data
Org: Sophie Dabo-Niang & Sana Louhichi
- Sana Louhichi
- Abdelaati Daouia
- Carlos Martins-Filho
Topology
Topological and geometric data analysis
Org: Johannes Krebs
- Anne van Delft
- Christian Hirsch
- Benjamin Roycraft
- Uzu Lim
Time Series
Non-parametric methods for Multivariate Time Series (tentative)
Org: Giovanni Motta
- Michael Eichler
- Yan Liu
- Giovanni Motta
- Darlin Soto
Networks
Modern Network Analysis II: Chaired by Avanti Athreya
Org: Zack Lubberts & Avanti Athreya
- Subhadeep Paul
- Alexander Modell
- Yinqiu He
- Zachary Lubberts
Computation
Computer-intensive statistical inference for complex data
Org: Dimitris Politis
- Patrice Bertail
- Carsten Jentsch
- Daren Wang
- Yunyi Zhang
Object Data
Advances in Object Data Analysis
Org: Vic Patrangenaru
- Stephan Huckemann
- Mihaela Pricop-Jeckstadt
- Aaid Algahtani
- Vic Patrangenaru
Dependent Data
Nonparametric Methods for Dependent Data
Org: Anton Schick
- Daniel Nordman
- Ursula U. Mueller-Harknett
- Tharuvai Sriram
- Suhasini Subbarao
Directional Stats
Advances in Directional Statistics
Org: Thomas Verdebout
- Diego Bolon
- Jose Ameijeiras
- Maria Alonso
- Andrea Meilan
Contributed • Applied Methods
Contributed: Applied Nonparametric Methods in Risk, Dependence and Decision
Org: Contributed session (4 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 Estimation and Testing of Systemic Risk Dominance in European Equity…
Contributed • Foundations
Contributed: Goodness-of-Fit, Smoothing and Methodological Foundations
Org: 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,…
- 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
12:30 - 13:00 | Closing