Penalized Spline M-Estimators for Discretely Sampled Functional Data: Existence and Asymptotics
Fuente:
arXiv
Saved in:
| Main Author: | Kalogridis, Ioannis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Functional Regression with Discretely Sampled Predictors
by: Kalogridis, Ioannis, et al.
Published: (2023)
by: Kalogridis, Ioannis, et al.
Published: (2023)
EM Estimation of the B-Spline Copula with Penalized Pseudo-Likelihood Functions
by: Dou, Xiaoling, et al.
Published: (2024)
by: Dou, Xiaoling, et al.
Published: (2024)
Asymptotics for M-type smoothing splines with non-smooth objective functions
by: Kalogridis, Ioannis
Published: (2020)
by: Kalogridis, Ioannis
Published: (2020)
Asymptotically Efficient Data-adaptive Penalized Shrinkage Estimation with Application to Causal Inference
by: Susmann, Herbert P., et al.
Published: (2025)
by: Susmann, Herbert P., et al.
Published: (2025)
Nonparametric Density Estimation for Data Scattered on Irregular Spatial Domains: A Likelihood-Based Approach Using Bivariate Penalized Spline Smoothing
by: Das, Kunal, et al.
Published: (2024)
by: Das, Kunal, et al.
Published: (2024)
Estimating Associations Between Cumulative Exposure and Health via Generalized Distributed Lag Non-Linear Models using Penalized Splines
by: Pan, Tianyi, et al.
Published: (2025)
by: Pan, Tianyi, et al.
Published: (2025)
A Semiparametric Nonlinear Mixed Effects Model with Penalized Splines Using Automatic Differentiation
by: D'Alessandro, Matteo, et al.
Published: (2026)
by: D'Alessandro, Matteo, et al.
Published: (2026)
Quantile-Crossing Spectrum and Spline Autoregression Estimation
by: Li, Ta-Hsin
Published: (2024)
by: Li, Ta-Hsin
Published: (2024)
Spline Autoregression Method for Estimation of Quantile Spectrum
by: Li, Ta-Hsin
Published: (2024)
by: Li, Ta-Hsin
Published: (2024)
Fast Penalized Generalized Estimating Equations for Large Longitudinal Functional Datasets
by: Loewinger, Gabriel, et al.
Published: (2025)
by: Loewinger, Gabriel, et al.
Published: (2025)
Regularized Principal Spline Functions to Mitigate Spatial Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)
by: Zaccardi, Carlo, et al.
Published: (2024)
Estimating the EVSI with Gaussian Approximations and Spline-Based Series Methods
by: Li, Linke, et al.
Published: (2024)
by: Li, Linke, et al.
Published: (2024)
Spline Quantile Regression with Cubic and Linear Smoothing Splines
by: Li, Ta-Hsin
Published: (2026)
by: Li, Ta-Hsin
Published: (2026)
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees
by: Lungu, Valentinian, et al.
Published: (2022)
by: Lungu, Valentinian, et al.
Published: (2022)
Spatial Capture-Recapture With Penalized Regression Splines to Flexibly Model Wildlife Density and Distribution
by: Seaton, Andrew E., et al.
Published: (2026)
by: Seaton, Andrew E., et al.
Published: (2026)
Advancing Stepped Wedge Cluster Randomized Trials Analysis: Bayesian Hierarchical Penalized Spline Models for Immediate and Time-Varying Intervention Effects
by: Wu, Danni, et al.
Published: (2024)
by: Wu, Danni, et al.
Published: (2024)
Derivative Estimation from Coarse, Irregular, Noisy Samples: An MLE-Spline Approach
by: Avrachenkov, Konstantin E., et al.
Published: (2025)
by: Avrachenkov, Konstantin E., et al.
Published: (2025)
Asymptotic Theory for Regularized Estimation in Functional Time Series Models
by: Niu, Ying, et al.
Published: (2025)
by: Niu, Ying, et al.
Published: (2025)
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
by: Manna, Alokesh, et al.
Published: (2024)
by: Manna, Alokesh, et al.
Published: (2024)
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
by: Fisher, Zachary F., et al.
Published: (2020)
by: Fisher, Zachary F., et al.
Published: (2020)
Optimal Estimation of Discrete Multiview Distributions under Heteroskedastic Multinomial Sampling
by: Tang, Runshi, et al.
Published: (2026)
by: Tang, Runshi, et al.
Published: (2026)
Revisiting Penalized Likelihood Estimation for Gaussian Processes
by: Mutoh, Ayumi, et al.
Published: (2025)
by: Mutoh, Ayumi, et al.
Published: (2025)
Discrete-time Competing-Risks Regression with or without Penalization
by: Meir, Tomer, et al.
Published: (2023)
by: Meir, Tomer, et al.
Published: (2023)
Universal Modelling of Autocovariance Functions via Spline Kernels
by: Astfalck, Lachlan
Published: (2025)
by: Astfalck, Lachlan
Published: (2025)
A Penalized Functional Linear Cox Regression Model for Spatially-defined Environmental Exposure with an Estimated Buffer Distance
by: Lee, Jooyoung, et al.
Published: (2023)
by: Lee, Jooyoung, et al.
Published: (2023)
Spline Quantile Regression
by: Li, Ta-Hsin, et al.
Published: (2025)
by: Li, Ta-Hsin, et al.
Published: (2025)
Identification of Partial-Differential-Equations-Based Models from Noisy Data via Splines
by: Zhao, Yujie, et al.
Published: (2021)
by: Zhao, Yujie, et al.
Published: (2021)
Asymptotic Statistical Theory for the Samples Problems using the Functional Empirical Process, revisited I
by: Camara, Abdoulaye, et al.
Published: (2025)
by: Camara, Abdoulaye, et al.
Published: (2025)
Improving Variance and Confidence Interval Estimation in Small-Sample Propensity Score Analyses: Bootstrap vs. Asymptotic Methods
by: Zhang, Baoshan, et al.
Published: (2025)
by: Zhang, Baoshan, et al.
Published: (2025)
Discrete Hamiltonian-Assisted Metropolis Sampling
by: Zhou, Yuze, et al.
Published: (2025)
by: Zhou, Yuze, et al.
Published: (2025)
Derivative Estimation of Multivariate Functional Data
by: Zhu, Yueyun, et al.
Published: (2024)
by: Zhu, Yueyun, et al.
Published: (2024)
HAL-MLE Log-Splines Density Estimation (Part I: Univariate)
by: Hou, Yilong, et al.
Published: (2026)
by: Hou, Yilong, et al.
Published: (2026)
Penalty-Induced Basis Exploration for Bayesian Splines
by: Lim, Sunwoo, et al.
Published: (2023)
by: Lim, Sunwoo, et al.
Published: (2023)
Zero-inflated Smoothing Spline (ZISS) Models for Individual-level Single-cell Temporal Data
by: Tang, Yifu, et al.
Published: (2024)
by: Tang, Yifu, et al.
Published: (2024)
Penalized Likelihood Methods for Modeling Count Data
by: Bui, Minh Thu, et al.
Published: (2021)
by: Bui, Minh Thu, et al.
Published: (2021)
Compositional Periodic Spline Approximation for Circular Density Data in Bayes Spaces
by: Machalová, Jitka, et al.
Published: (2026)
by: Machalová, Jitka, et al.
Published: (2026)
Linear Shrinkage Convexification of Penalized Linear Regression With Missing Data
by: Park, Seongoh, et al.
Published: (2024)
by: Park, Seongoh, et al.
Published: (2024)
Simultaneous Estimation and Model Choice for Big Discrete Time-to-Event Data with Additive Predictors
by: Müller, Benjamin, et al.
Published: (2025)
by: Müller, Benjamin, et al.
Published: (2025)
Meta-Analysis Without Normality: Estimating the True Effect Distribution with Penalized Gaussian Mixtures
by: Sui, Daihe, et al.
Published: (2026)
by: Sui, Daihe, et al.
Published: (2026)
Two Sample Test for Eigendecompositions of Functional Data
by: de la Garza, Angel Garcia, et al.
Published: (2026)
by: de la Garza, Angel Garcia, et al.
Published: (2026)
Similar Items
-
Robust Functional Regression with Discretely Sampled Predictors
by: Kalogridis, Ioannis, et al.
Published: (2023) -
EM Estimation of the B-Spline Copula with Penalized Pseudo-Likelihood Functions
by: Dou, Xiaoling, et al.
Published: (2024) -
Asymptotics for M-type smoothing splines with non-smooth objective functions
by: Kalogridis, Ioannis
Published: (2020) -
Asymptotically Efficient Data-adaptive Penalized Shrinkage Estimation with Application to Causal Inference
by: Susmann, Herbert P., et al.
Published: (2025) -
Nonparametric Density Estimation for Data Scattered on Irregular Spatial Domains: A Likelihood-Based Approach Using Bivariate Penalized Spline Smoothing
by: Das, Kunal, et al.
Published: (2024)