ERD

Multicarving for high-dimensional post-selection inference

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Rejoinder: Invariance, Causality and Robustness

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Multiomic profiling of the liver across diets and age in a diverse mouse population

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Group inference in high dimensions with applications to hierarchical testing

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Springs regarded as hydraulic features and interpreted in the context of basin-scale groundwater flow

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

On the pitfalls of Gaussian likelihood scoring for causal discovery

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

On the Identifiability and Estimation of Causal Location-Scale Noise Models

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Toward causality and improving external validity

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Domain adaptation under structural causal models

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Plug-in Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Spectral Deconfounding via Perturbed Sparse Linear Models

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Intervention stability in statistics: Benefiting from causality

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Random Forests for Change Point Detection

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

An Almost Constant Lower Bound of the Isoperimetric Coefficient in the KLS Conjecture

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Goodness-of-fit testing in high dimensional generalized linear models

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

A Look at Robustness and Stability of $\ell_{1}$-versus $\ell_{0}$-Regularization: Discussion of Papers by Bertsimas et ...

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Structure Learning for Directed Trees

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

The Weighted Generalised Covariance Measure

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Ancestor regression in linear structural equation models

Project: CausalStats

Updated at: 27-04-2024

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Project acronym CausalStats

Resources

Selected filters:

Multicarving for high-dimensional post-selection inference

Rejoinder: Invariance, Causality and Robustness

Multiomic profiling of the liver across diets and age in a diverse mouse population

Group inference in high dimensions with applications to hierarchical testing

Springs regarded as hydraulic features and interpreted in the context of basin-scale groundwater flow

Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)

On the pitfalls of Gaussian likelihood scoring for causal discovery

On the Identifiability and Estimation of Causal Location-Scale Noise Models

Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression

Toward causality and improving external validity

Domain adaptation under structural causal models

Plug-in Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements

Spectral Deconfounding via Perturbed Sparse Linear Models

Intervention stability in statistics: Benefiting from causality

Random Forests for Change Point Detection

An Almost Constant Lower Bound of the Isoperimetric Coefficient in the KLS Conjecture

Goodness-of-fit testing in high dimensional generalized linear models

A Look at Robustness and Stability of $\ell_{1}$-versus $\ell_{0}$-Regularization: Discussion of Papers by Bertsimas et ...

Structure Learning for Directed Trees

The Weighted Generalised Covariance Measure

Ancestor regression in linear structural equation models