Parameters on the boundary in predictive regression
Fuente:
arXiv
Saved in:
| Main Authors: | Cavaliere, Giuseppe, Georgiev, Iliyan, Zanelli, Edoardo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improved inference for nonparametric regression and regression-discontinuity designs
by: Cavaliere, Giuseppe, et al.
Published: (2025)
by: Cavaliere, Giuseppe, et al.
Published: (2025)
Inference under random limit bootstrap measures
by: Cavaliere, Giuseppe, et al.
Published: (2019)
by: Cavaliere, Giuseppe, et al.
Published: (2019)
Canonical correlation analysis of stochastic trends via functional approximation
by: Franchi, Massimo, et al.
Published: (2024)
by: Franchi, Massimo, et al.
Published: (2024)
Bootstrap Diagnostic Tests
by: Cavaliere, Giuseppe, et al.
Published: (2025)
by: Cavaliere, Giuseppe, et al.
Published: (2025)
Uniform Critical Values for Likelihood Ratio Tests in Boundary Problems
by: Cavaliere, Giuseppe, et al.
Published: (2025)
by: Cavaliere, Giuseppe, et al.
Published: (2025)
Orthogonality conditions for convex regression
by: Dai, Sheng, et al.
Published: (2025)
by: Dai, Sheng, et al.
Published: (2025)
A simple but powerful tail index regression
by: Nicolau, João, et al.
Published: (2024)
by: Nicolau, João, et al.
Published: (2024)
Nonparametric regression with dependent censoring or competing risks
by: Shih, Jia-Han, et al.
Published: (2026)
by: Shih, Jia-Han, et al.
Published: (2026)
Potential weights and implicit causal designs in linear regression
by: Chen, Jiafeng
Published: (2024)
by: Chen, Jiafeng
Published: (2024)
Inference on many jumps in nonparametric panel regression models
by: Chen, Likai, et al.
Published: (2023)
by: Chen, Likai, et al.
Published: (2023)
An alternative bootstrap procedure for factor-augmented regression models
by: Jiang, Peiyun, et al.
Published: (2025)
by: Jiang, Peiyun, et al.
Published: (2025)
Empirical Bayes shrinkage (mostly) does not correct the measurement error in regression
by: Chen, Jiafeng, et al.
Published: (2025)
by: Chen, Jiafeng, et al.
Published: (2025)
Functional instrumental variable regression with an application to estimating the impact of immigration on native wages
by: Seong, Dakyung, et al.
Published: (2021)
by: Seong, Dakyung, et al.
Published: (2021)
A statistician's guide to weak-instrument-robust inference in instrumental variables regression with illustrations in Python
by: Londschien, Malte
Published: (2025)
by: Londschien, Malte
Published: (2025)
An Axiomatic Approach to Comparing Sensitivity Parameters
by: Diegert, Paul, et al.
Published: (2025)
by: Diegert, Paul, et al.
Published: (2025)
Unified Inference on Moment Restrictions with Nuisance Parameters
by: Li, Xingyu, et al.
Published: (2022)
by: Li, Xingyu, et al.
Published: (2022)
Calibrated quantile prediction for Growth-at-Risk
by: Bogani, Pietro, et al.
Published: (2024)
by: Bogani, Pietro, et al.
Published: (2024)
A Neyman-Orthogonalization Approach to the Incidental Parameter Problem
by: Bonhomme, Stéphane, et al.
Published: (2024)
by: Bonhomme, Stéphane, et al.
Published: (2024)
Inflation Target at Risk: A Time-varying Parameter Distributional Regression
by: Wang, Yunyun, et al.
Published: (2024)
by: Wang, Yunyun, et al.
Published: (2024)
Dynamic causal inference with time series data
by: Schaffe-Odeleye, Tanique, et al.
Published: (2026)
by: Schaffe-Odeleye, Tanique, et al.
Published: (2026)
Exponentially weighted estimands and the exponential family: Filtering, prediction and smoothing
by: van Heel, Simon Donker, et al.
Published: (2025)
by: van Heel, Simon Donker, et al.
Published: (2025)
The Cascade Identity: 2SLS as a Policy Parameter in Capacity-Constrained Settings
by: Bengtsson, Niklas, et al.
Published: (2026)
by: Bengtsson, Niklas, et al.
Published: (2026)
Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
by: Esser, Jonas, et al.
Published: (2024)
by: Esser, Jonas, et al.
Published: (2024)
Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model
by: Moon, Sarah
Published: (2024)
by: Moon, Sarah
Published: (2024)
When are time series predictions causal? The potential system and dynamic causal effects
by: Carlson, Jacob, et al.
Published: (2026)
by: Carlson, Jacob, et al.
Published: (2026)
The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models
by: Knaus, Peter, et al.
Published: (2023)
by: Knaus, Peter, et al.
Published: (2023)
IV regression with distribution-valued outcomes
by: Van Dijcke, David, et al.
Published: (2026)
by: Van Dijcke, David, et al.
Published: (2026)
Augmented balancing weights as linear regression
by: Bruns-Smith, David, et al.
Published: (2023)
by: Bruns-Smith, David, et al.
Published: (2023)
Testing Inequalities Linear in Nuisance Parameters
by: Cox, Gregory Fletcher, et al.
Published: (2025)
by: Cox, Gregory Fletcher, et al.
Published: (2025)
Optimal estimation for regression discontinuity design with binary outcomes
by: Ishihara, Takuya, et al.
Published: (2025)
by: Ishihara, Takuya, et al.
Published: (2025)
Some models are useful, but for how long?: A decision theoretic approach to choosing when to refit large-scale prediction models
by: Hoffman, Kentaro, et al.
Published: (2024)
by: Hoffman, Kentaro, et al.
Published: (2024)
Detecting Spatial Outliers: the Role of the Local Influence Function
by: Arbia, Giuseppe, et al.
Published: (2024)
by: Arbia, Giuseppe, et al.
Published: (2024)
Unifying regression-based and design-based causal inference in time-series experiments
by: Lin, Zhexiao, et al.
Published: (2025)
by: Lin, Zhexiao, et al.
Published: (2025)
Network regression and supervised centrality estimation
by: Cai, Junhui, et al.
Published: (2021)
by: Cai, Junhui, et al.
Published: (2021)
One-step smoothing splines instrumental regression
by: Beyhum, Jad, et al.
Published: (2023)
by: Beyhum, Jad, et al.
Published: (2023)
Empirical Bayes When Estimation Precision Predicts Parameters
by: Chen, Jiafeng
Published: (2022)
by: Chen, Jiafeng
Published: (2022)
Formalising causal inference as prediction on a target population
by: Höltgen, Benedikt, et al.
Published: (2024)
by: Höltgen, Benedikt, et al.
Published: (2024)
On the modelling and prediction of high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances
by: Bai, Yuehao, et al.
Published: (2024)
by: Bai, Yuehao, et al.
Published: (2024)
Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory
by: Gilbert, Joshua B., et al.
Published: (2024)
by: Gilbert, Joshua B., et al.
Published: (2024)
Similar Items
-
Improved inference for nonparametric regression and regression-discontinuity designs
by: Cavaliere, Giuseppe, et al.
Published: (2025) -
Inference under random limit bootstrap measures
by: Cavaliere, Giuseppe, et al.
Published: (2019) -
Canonical correlation analysis of stochastic trends via functional approximation
by: Franchi, Massimo, et al.
Published: (2024) -
Bootstrap Diagnostic Tests
by: Cavaliere, Giuseppe, et al.
Published: (2025) -
Uniform Critical Values for Likelihood Ratio Tests in Boundary Problems
by: Cavaliere, Giuseppe, et al.
Published: (2025)