Cover Image

Notes on Forré's Notion of Conditional Independence and Causal Calculus for Continuous Variables

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Chen, Leihao
Format:	Preprint
Published:	2026
Subjects:	Statistics Theory Probability Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Complete Causal Identification from Ancestral Graphs under Selection Bias
by: Chen, Leihao, et al.
Published: (2026)

Probabilistic Conformal Prediction with Approximate Conditional Validity
by: Plassier, Vincent, et al.
Published: (2024)

Foundations of Structural Causal Models with Latent Selection
by: Chen, Leihao, et al.
Published: (2024)

Towards Continuous-time Causal Foundation Models
by: Thumm, Dennis, et al.
Published: (2026)

Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026)

Probabilistic Inference and Learning with Stein's Method
by: Liu, Qiang, et al.
Published: (2026)

High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
by: Bigot, Jérémie, et al.
Published: (2024)

High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
by: Dabo, Issa-Mbenard, et al.
Published: (2025)

Monotone Curve Estimation via Convex Duality
by: Lim, Tongseok, et al.
Published: (2025)

Data denoising with self consistency, variance maximization, and the Kantorovich dominance
by: Hiew, Joshua Zoen-Git, et al.
Published: (2025)

A new approach to locally adaptive polynomial regression
by: Chatterjee, Sabyasachi, et al.
Published: (2024)

Combining Evidence Across Filtrations
by: Choe, Yo Joong, et al.
Published: (2024)

Information-Theoretic Limits and Strong Consistency on Binary Non-uniform Hypergraph Stochastic Block Models
by: Wang, Hai-Xiao
Published: (2023)

The extended Ville's inequality for nonintegrable nonnegative supermartingales
by: Wang, Hongjian, et al.
Published: (2023)

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
by: He, Ye, et al.
Published: (2024)

Kolmogorov-Type Maximal Inequalities for Independent and Dependent Negative Binomial Random Variables: Sharp Bounds, Sub-Exponential Refinements, and Applications to Overdispersed Count Data
by: Doumas, Aristides V., et al.
Published: (2026)

Maximum entropy based testing in network models: ERGMs and constrained optimization
by: Ghosh, Subhro, et al.
Published: (2026)

Computationally efficient reductions between some statistical models
by: Lou, Mengqi, et al.
Published: (2024)

Practically Effective Adjustment Variable Selection in Causal Inference
by: Noda, Atsushi, et al.
Published: (2025)

Partial Identification of Causal Effects Using Proxy Variables
by: Ghassami, AmirEmad, et al.
Published: (2023)

Identifiability of Sparse Causal Effects using Instrumental Variables
by: Pfister, Niklas, et al.
Published: (2022)

Identifying Causal Effects Using a Single Proxy Variable
by: Vollmer, Silvan, et al.
Published: (2026)

Causal Identification for Complex Functional Longitudinal Studies
by: Ying, Andrew
Published: (2022)

Identification and Debiased Learning of Causal Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2025)

Discovering Causal Relationships using Proxy Variables under Unmeasured Confounding
by: Wu, Yong, et al.
Published: (2025)

Efficient Online Learning in Interacting Particle Systems
by: Sharrock, Louis, et al.
Published: (2026)

Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2026)

Estimating large causal polytrees from small samples
by: Chatterjee, Sourav, et al.
Published: (2022)

Optimal estimators of cross-partial derivatives and surrogates of functions
by: Lamboni, Matieyendou
Published: (2024)

On Ranking-based Tests of Independence
by: Limnios, Myrto, et al.
Published: (2024)

Sequential Kernelized Independence Testing
by: Podkopaev, Aleksandr, et al.
Published: (2022)

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)

Deep Nonparametric Conditional Independence Tests for Images
by: Simnacher, Marco, et al.
Published: (2024)

An introduction to Causal Modelling
by: Baishya, Gauranga Kumar
Published: (2025)

Orthogonal Causal Calibration
by: Whitehouse, Justin, et al.
Published: (2024)

Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)

A Tutorial on Doubly Robust Learning for Causal Inference
by: Hlynsson, Hlynur Davíð
Published: (2024)

Dynamic Structural Causal Models
by: Boeken, Philip, et al.
Published: (2024)

Boosting Causal Additive Models
by: Kertel, Maximilian, et al.
Published: (2024)

Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)