Cover Image

Stochastic Nonparametric Estimation of the Density-Flow Curve

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kriuchkov, Iaroslav, Kuosmanen, Timo
Format:	Preprint
Published:	2023
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Partial frontiers are not quantiles
by: Dai, Sheng, et al.
Published: (2022)

Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)

Overfitting Reduction in Convex Regression
by: Liao, Zhiqiang, et al.
Published: (2024)

Nonparametric Estimation and Comparison of Distance Distributions from Censored Data
by: McCabe, Lucas H.
Published: (2023)

Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes
by: Fu, Jiawei, et al.
Published: (2026)

Nonparametric Monitoring of Spatial Dependence
by: Adämmer, Philipp, et al.
Published: (2024)

Stochastic Block Covariance Matrix Estimation
by: Chen, Yunran, et al.
Published: (2025)

A Nonparametric and Functional Wombling Methodology
by: Barratt, Luke A., et al.
Published: (2025)

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
by: Ma, Chenchen, et al.
Published: (2020)

Beyond the Beta Lorenz Curve: A New Parametric Family for Poverty and Inequality Estimation
by: Sarabia, José María, et al.
Published: (2026)

HAL-Based Plug-in Estimation with Pointwise Asymptotic Normality of the Causal Dose-Response Curve
by: Shi, Junming, et al.
Published: (2024)

Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)

Nonparametric estimation of the Patient Weighted While-Alive Estimand
by: Ragni, Alessandra, et al.
Published: (2024)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023)

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
by: Hu, Jie Kate, et al.
Published: (2023)

Constructing Simultaneous Confidence Bands for Errors-in-variables Curves with Application to the Lorenz Curve
by: Dong, Ziqing, et al.
Published: (2025)

Bayesian Nonparametric Risk Assessment in Developmental Toxicity Studies with Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2024)

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
by: Yuan, Shijie, et al.
Published: (2025)

Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
by: Mignemi, Giuseppe, et al.
Published: (2024)

Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)

lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
by: Gelis-Cadena, Karina, et al.
Published: (2025)

Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
by: Bae, Woojung, et al.
Published: (2026)

Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence
by: Pyne, Arijit, et al.
Published: (2022)

Inequality Constrained Minimum Density Power Divergence Estimation in Panel Count Data
by: Goswami, Udita, et al.
Published: (2025)

Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
by: Williams, Nicholas, et al.
Published: (2025)

Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
by: Zeng, Cheng, et al.
Published: (2025)

Flexible domain prediction using mixed effects random forests
by: Krennmair, Patrick, et al.
Published: (2022)

A Unified Framework for Density Estimation under Right-Censored Point-Centred Quarter Sampling
by: Huang, Wenzhe, et al.
Published: (2026)

Bayesian Nonparametrics for Gene-Gene and Gene-Environment Interactions in Case-Control Studies: A Synthesis and Extension
by: Bhattacharya, Durba, et al.
Published: (2026)

Stochastic Gradient Variational Bayes in the Stochastic Blockmodel
by: Regueiro, Pedro, et al.
Published: (2024)

Heteroscedastic Growth Curve Modeling with Shape-Restricted Splines
by: Jiao, Jieying, et al.
Published: (2025)

Robust Genomic Prediction and Heritability Estimation using Density Power Divergence
by: Chowdhury, Upama Paul, et al.
Published: (2024)

Analysing Opportunity Cost of Care Work using Mixed Effects Random Forests under Aggregated Auxiliary Data
by: Krennmair, Patrick, et al.
Published: (2022)

Likelihood-based Modeling of Covariate-Specific Time-Dependent ROC Curves
by: Sewak, Ainesh, et al.
Published: (2025)

Feasible Dose-Response Curves for Continuous Treatments Under Positivity Violations
by: Bao, Han, et al.
Published: (2025)

Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
by: Chang, Peter, et al.
Published: (2024)

Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
by: Sun, Jiren, et al.
Published: (2024)

Additive Density Regression
by: Maier, Eva-Maria, et al.
Published: (2025)