Partial frontiers are not quantiles
Fuente:
arXiv
Saved in:
| Main Authors: | Dai, Sheng, Kuosmanen, Timo, Zhou, Xun |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
Overfitting Reduction in Convex Regression
by: Liao, Zhiqiang, et al.
Published: (2024)
by: Liao, Zhiqiang, et al.
Published: (2024)
Stochastic Nonparametric Estimation of the Density-Flow Curve
by: Kriuchkov, Iaroslav, et al.
Published: (2023)
by: Kriuchkov, Iaroslav, et al.
Published: (2023)
Orthogonality conditions for convex regression
by: Dai, Sheng, et al.
Published: (2025)
by: Dai, Sheng, et al.
Published: (2025)
Smooth and shape-constrained quantile distributed lag models
by: Jin, Yisen, et al.
Published: (2024)
by: Jin, Yisen, et al.
Published: (2024)
Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)
by: Kobayashi, Genya, et al.
Published: (2026)
A unified quantile framework for nonlinear heterogeneous transcriptome-wide associations
by: Wang, Tianying, et al.
Published: (2022)
by: Wang, Tianying, et al.
Published: (2022)
Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)
by: Ji, Feng, et al.
Published: (2024)
Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)
by: Ren, Benny, et al.
Published: (2024)
Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles
by: Xiang, Qingyan, et al.
Published: (2024)
by: Xiang, Qingyan, et al.
Published: (2024)
Economic growth of cities: Does resource allocation matter?
by: Dai, Sheng, et al.
Published: (2024)
by: Dai, Sheng, et al.
Published: (2024)
Targeted tuning of random forests for quantile estimation and prediction intervals
by: Berkowitz, Matthew, et al.
Published: (2025)
by: Berkowitz, Matthew, et al.
Published: (2025)
Flexible domain prediction using mixed effects random forests
by: Krennmair, Patrick, et al.
Published: (2022)
by: Krennmair, Patrick, et al.
Published: (2022)
A novel density-based approach for estimating unknown means, distribution visualisations and meta-analyses of quantiles
by: De Livera, Alysha M, et al.
Published: (2024)
by: De Livera, Alysha M, et al.
Published: (2024)
Detecting Breast Carcinoma Metastasis on Whole-Slide Images by Partially Subsampled Multiple Instance Learning
by: Yu, Baichen, et al.
Published: (2026)
by: Yu, Baichen, et al.
Published: (2026)
Estimation of conditional inequality curves and measures via estimating the conditional quantile function
by: Jokiel-Rokita, Alicja, et al.
Published: (2024)
by: Jokiel-Rokita, Alicja, et al.
Published: (2024)
Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)
by: Cheng, Chao, et al.
Published: (2026)
Analysing Opportunity Cost of Care Work using Mixed Effects Random Forests under Aggregated Auxiliary Data
by: Krennmair, Patrick, et al.
Published: (2022)
by: Krennmair, Patrick, et al.
Published: (2022)
Bayesian Design and Analysis of Precision Trials with Partial Borrowing
by: Golchi, Shirin, et al.
Published: (2026)
by: Golchi, Shirin, et al.
Published: (2026)
Partial Conjunction Analysis in Neuroimaging: A Comparative Study
by: Dey, Monitirtha, et al.
Published: (2025)
by: Dey, Monitirtha, et al.
Published: (2025)
Partially Directed Configuration Model with Homophily and Respondent-Driven Sampling
by: Sepulveda-Peñaloza, Alejandro, et al.
Published: (2025)
by: Sepulveda-Peñaloza, Alejandro, et al.
Published: (2025)
Partial membership models for soft clustering of multivariate football player performance data
by: Seri, Emiliano, et al.
Published: (2024)
by: Seri, Emiliano, et al.
Published: (2024)
Estimating Fold Changes from Partially Observed Outcomes with Applications in Microbial Metagenomics
by: Clausen, David S, et al.
Published: (2024)
by: Clausen, David S, et al.
Published: (2024)
Identifying Neural Connectivity using Bernoulli Autoregressive Partially Linear Additive Models
by: Pinkney, Carla, et al.
Published: (2025)
by: Pinkney, Carla, et al.
Published: (2025)
Multiple Testing of Partial Conjunction Hypotheses for Assessing Replicability Across Dependent Studies
by: Dey, Monitirtha, et al.
Published: (2025)
by: Dey, Monitirtha, et al.
Published: (2025)
Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
by: Bargagli-Stoffi, Falco J., et al.
Published: (2025)
by: Bargagli-Stoffi, Falco J., et al.
Published: (2025)
Hierarchical Latent Class Models for Mortality Surveillance Using Partially Verified Verbal Autopsies
by: Zhu, Yu, et al.
Published: (2024)
by: Zhu, Yu, et al.
Published: (2024)
Research frontiers in ambit stochastics: In memory of Ole E. Barndorff-Nielsen
by: Benth, Fred Espen, et al.
Published: (2024)
by: Benth, Fred Espen, et al.
Published: (2024)
Projection-based two-sample inference for sparsely observed multivariate functional data
by: Koner, Salil, et al.
Published: (2023)
by: Koner, Salil, et al.
Published: (2023)
A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)
Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data
by: Wang, Runqiu, et al.
Published: (2023)
by: Wang, Runqiu, et al.
Published: (2023)
Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fréchet Single Index Model
by: Matabuena, Marcos, et al.
Published: (2023)
by: Matabuena, Marcos, et al.
Published: (2023)
A Finite Mixture Hidden Markov Model for Intermittently Observed Disease Process with Heterogeneity and Partially Known Disease Type
by: Shi, Yidan, et al.
Published: (2024)
by: Shi, Yidan, et al.
Published: (2024)
A novel longitudinal rank-sum test for multiple primary endpoints in clinical trials: Applications to neurodegenerative disorders
by: Xu, Xiaoming, et al.
Published: (2024)
by: Xu, Xiaoming, et al.
Published: (2024)
Manipulating a Continuous Instrumental Variable in an Observational Study of Premature Babies: Algorithm, Partial Identification Bounds, and Inference under Randomization and Biased Randomization Assumptions
by: Chen, Zhe, et al.
Published: (2024)
by: Chen, Zhe, et al.
Published: (2024)
Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
by: Ng, Edwin, et al.
Published: (2021)
by: Ng, Edwin, et al.
Published: (2021)
Bayesian Perspective for Orientation Determination in Cryo-EM with Application to Structural Heterogeneity Analysis
by: Xu, Sheng, et al.
Published: (2024)
by: Xu, Sheng, et al.
Published: (2024)
A novel smoothing-based goodness-of-fit test of covariance for multivariate sparse functional data
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
Robust inference for the unification of confidence intervals in meta-analysis
by: Liang, Wei, et al.
Published: (2024)
by: Liang, Wei, et al.
Published: (2024)
Piece-wise linear isotonic regression
by: Kuosmanen, Timo, et al.
Published: (2026)
by: Kuosmanen, Timo, et al.
Published: (2026)
Similar Items
-
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022) -
Overfitting Reduction in Convex Regression
by: Liao, Zhiqiang, et al.
Published: (2024) -
Stochastic Nonparametric Estimation of the Density-Flow Curve
by: Kriuchkov, Iaroslav, et al.
Published: (2023) -
Orthogonality conditions for convex regression
by: Dai, Sheng, et al.
Published: (2025) -
Smooth and shape-constrained quantile distributed lag models
by: Jin, Yisen, et al.
Published: (2024)