:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	De Canditiis, Daniela
Format:	Preprint
Published:	2019
Subjects:	Methodology 62G05
Online Access:	https://arxiv.org/abs/1907.11033
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Variable Selection in High-dimensional Nonparametric Additive Model
by: Chatla, Suneel Babu, et al.
Published: (2025)

Log-concave density estimation in undirected graphical models
by: Kubjas, Kaie, et al.
Published: (2022)

Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
by: Novo, Silvia, et al.
Published: (2024)

Statistical Inference on the Cumulative Distribution Function using Judgment Post Stratification
by: Kouhanestani, Mina Azizi, et al.
Published: (2024)

Estimation of Quantile Functionals in Linear Model
by: Jurečková, Jana, et al.
Published: (2024)

Statistical Inference for Scale Mixture Models via Mellin Transform Approach
by: Belomestny, Denis, et al.
Published: (2022)

Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection
by: Wang, Shuoyang, et al.
Published: (2025)

Quantile-respectful density estimation based on the Harrell-Davis quantile estimator
by: Akinshin, Andrey
Published: (2024)

Semi-functional partial linear regression with measurement error: An approach based on $k$NN estimation
by: Novo, Silvia, et al.
Published: (2024)

Uncertainty Learning for High-dimensional Mean-variance Portfolio
by: Wu, Ruike, et al.
Published: (2024)

Inference for decorated graphs and application to multiplex networks
by: Dufour, Charles, et al.
Published: (2024)

Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
by: Du, Shiyin, et al.
Published: (2026)

TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-based Data
by: Gu, Zhiling, et al.
Published: (2024)

Berry-Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
by: Shi, Lei, et al.
Published: (2022)

Causal inference with ordinal outcomes: copula-based identification, estimation and sensitivity analysis
by: He, Peiyu, et al.
Published: (2026)

Asymptotic theory of the quadratic assignment procedure for dyadic data analysis
by: Shi, Lei, et al.
Published: (2024)

Design-based causal inference in bipartite experiments
by: Lu, Sizhu, et al.
Published: (2025)

Forward selection and post-selection inference in factorial designs
by: Shi, Lei, et al.
Published: (2023)

Testing for linearity in scalar-on-function regression with responses missing at random
by: Febrero-Bande, Manuel, et al.
Published: (2023)

Nonparametric Empirical Bayes Estimation on Heterogeneous Data
by: Banerjee, Trambak, et al.
Published: (2020)

Non-parametric estimation of transition intensities in interval censored Markov multi-state models without loops
by: Gomon, Daniel, et al.
Published: (2024)

Leave-One-Out Neighborhood Smoothing for Graphons: Berry-Esseen Bounds, Confidence Intervals, and Honest Tuning
by: Aalipur, Behzad, et al.
Published: (2026)

Linear Discriminant Analysis with High-dimensional Mixed Variables
by: Jiang, Binyan, et al.
Published: (2021)

Frequentist forecasting in regime-switching models with extended Hamilton filter
by: Okuyama, Kento, et al.
Published: (2025)

Asymptotic Analysis and Practical Evaluation of Jump Rate Estimators in Piecewise-Deterministic Markov Processes
by: Azaïs, Romain, et al.
Published: (2025)

Rejoinder to the discussion of "Mode-based estimation of the center of symmetry"
by: Chacón, José E., et al.
Published: (2025)

Discrete-time Markov chains with random observation times
by: Aurouet, Daphne, et al.
Published: (2025)

A family of Chatterjee's correlation coefficients and their properties
by: Gao, Muhong, et al.
Published: (2024)

rquest: An R package for hypothesis tests and confidence intervals for quantiles and summary measures based on quantiles
by: Prendergast, Luke A., et al.
Published: (2024)

Variable screening using factor analysis for high-dimensional data with multicollinearity
by: Tanaka, Shuntaro, et al.
Published: (2023)

Over the Stability Space of a Multivariate Time Series
by: Vásquez-Martínez, Roberto, et al.
Published: (2025)

Optimal empirical Bayes estimation for the Poisson model via minimum-distance methods
by: Jana, Soham, et al.
Published: (2022)

Discriminating Tail Behavior Using Halfspace Depths: Population and Empirical Perspectives
by: Singha, Sibsankar, et al.
Published: (2025)

Convolutional neural networks for valid and efficient causal inference
by: Ghasempour, Mohammad, et al.
Published: (2023)

Automatic and location-adaptive estimation in functional single-index regression
by: Novo, Silvia, et al.
Published: (2024)

Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
by: Zabolotnii, Serhii
Published: (2026)

A Model-Agnostic Bootstrap for Macro-Level Claims Reserving Under the Conditioning Principle
by: Van Oirbeek, Robin, et al.
Published: (2026)

Data-adaptive structural change-point detection via isolation
by: Anastasiou, Andreas, et al.
Published: (2024)

Monitoring a developing pandemic with available data
by: Gámiz, María Luz, et al.
Published: (2023)

Low quality exposure and point processes with a view to the first phase of a pandemic
by: Gámiz, María Luz, et al.
Published: (2023)