Nonparametric density estimation for stationary processes under multiplicative measurement errors
Fuente:
arXiv
Saved in:
| Main Authors: | Dang, Duc Trong, Hoang, Van Ha, Thai, Phuc Hung |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dirichlet kernel density estimation for strongly mixing sequences on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)
by: Daayeb, Hanen, et al.
Published: (2025)
Nonparametric estimation of trawl processes: Theory and applications
by: Sauri, Orimar, et al.
Published: (2022)
by: Sauri, Orimar, et al.
Published: (2022)
Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting
by: Hoang, Van Ha, et al.
Published: (2025)
by: Hoang, Van Ha, et al.
Published: (2025)
Minimax properties of gamma kernel density estimators under $L^p$ loss and $β$-Hölder smoothness of the target
by: Ouimet, Frédéric
Published: (2026)
by: Ouimet, Frédéric
Published: (2026)
On nonparametric estimation of the interaction function in particle system models
by: Belomestny, Denis, et al.
Published: (2024)
by: Belomestny, Denis, et al.
Published: (2024)
A two-sample test for symmetric positive definite matrix distributions using Wishart kernel density estimators
by: Ouimet, Frédéric
Published: (2026)
by: Ouimet, Frédéric
Published: (2026)
Estimation of the invariant measure of a multidimensional diffusion from noisy observations
by: Maillet, Raphaël, et al.
Published: (2024)
by: Maillet, Raphaël, et al.
Published: (2024)
Wishart kernel density estimation for strongly mixing time series on the cone of positive definite matrices
by: Belzile, Léo R., et al.
Published: (2025)
by: Belzile, Léo R., et al.
Published: (2025)
Dirichlet kernel density estimation on the simplex with missing data
by: Daayeb, Hanen, et al.
Published: (2026)
by: Daayeb, Hanen, et al.
Published: (2026)
Deconvolution of Arbitrary Distribution Functions and Densities
by: Kaiser, Henrik
Published: (2025)
by: Kaiser, Henrik
Published: (2025)
A hybrid-Hill estimator enabled by heavy-tailed block maxima
by: Neves, Claudia, et al.
Published: (2025)
by: Neves, Claudia, et al.
Published: (2025)
Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
by: Somé, Sobom M., et al.
Published: (2022)
by: Somé, Sobom M., et al.
Published: (2022)
Rank tests for time-varying covariance matrices observed under noise
by: Reiß, Markus, et al.
Published: (2026)
by: Reiß, Markus, et al.
Published: (2026)
An effective estimation of multivariate density functions using extended-beta kernels with Bayesian adaptive bandwidths
by: Somé, Sobom M., et al.
Published: (2025)
by: Somé, Sobom M., et al.
Published: (2025)
Quadratic functional estimation from observations with multiplicative measurement error
by: Neubert, Bianca, et al.
Published: (2024)
by: Neubert, Bianca, et al.
Published: (2024)
Asymptotic properties of the normalized discrete associated-kernel estimator for probability mass function
by: Esstafa, Youssef, et al.
Published: (2022)
by: Esstafa, Youssef, et al.
Published: (2022)
Sharp Convergence Rates of Empirical Unbalanced Optimal Transport for Spatio-Temporal Point Processes
by: Struleva, Marina, et al.
Published: (2025)
by: Struleva, Marina, et al.
Published: (2025)
Nonparametric Inference for Noise Covariance Kernels in Parabolic SPDEs using Space-Time Infill-Asymptotics
by: Petersson, Andreas, et al.
Published: (2025)
by: Petersson, Andreas, et al.
Published: (2025)
Model-free filtering in high dimensions via projection and score-based diffusions
by: Christensen, Sören, et al.
Published: (2025)
by: Christensen, Sören, et al.
Published: (2025)
Convergence rates of non-stationary and deep Gaussian process regression
by: Osborne, Conor, et al.
Published: (2023)
by: Osborne, Conor, et al.
Published: (2023)
TwinKernel Estimation for Point Process Intensity Functions: Adaptive Nonparametric Methods via Orbital Regularity
by: Nembé, Jocelyn
Published: (2025)
by: Nembé, Jocelyn
Published: (2025)
Average Marginal Effects in One-Step Partially Linear Instrumental Regressions
by: Girard, Lucas, et al.
Published: (2026)
by: Girard, Lucas, et al.
Published: (2026)
The Bernstein-von Mises theorem and efficiency for semiparametric inference in multivariate Hawkes processes
by: Duverger, Mael, et al.
Published: (2026)
by: Duverger, Mael, et al.
Published: (2026)
The minimax optimal convergence rate of posterior density in the weighted orthogonal polynomials
by: Luo, Yiqi, et al.
Published: (2026)
by: Luo, Yiqi, et al.
Published: (2026)
Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP
by: Amorino, Chiara, et al.
Published: (2024)
by: Amorino, Chiara, et al.
Published: (2024)
Nonparametric Estimation via Expected Order Statistics
by: Lando, Tommaso, et al.
Published: (2026)
by: Lando, Tommaso, et al.
Published: (2026)
Breaking the curse of dimensionality in structured density estimation
by: Vandermeulen, Robert A., et al.
Published: (2024)
by: Vandermeulen, Robert A., et al.
Published: (2024)
IAPO estimators in Exponentiated Frechet case
by: Jordanova, Pavlina, et al.
Published: (2025)
by: Jordanova, Pavlina, et al.
Published: (2025)
Adaptive inference over Besov spaces in the white noise model using $p$-exponential priors
by: Agapiou, Sergios, et al.
Published: (2022)
by: Agapiou, Sergios, et al.
Published: (2022)
Decompounding Under General Mixing Distributions
by: Belomestny, Denis, et al.
Published: (2024)
by: Belomestny, Denis, et al.
Published: (2024)
Bump hunting through density curvature features
by: Chacón, José E., et al.
Published: (2022)
by: Chacón, José E., et al.
Published: (2022)
Testing Independence of Infinite Dimensional Random Elements: A Sup-norm Approach
by: Bhar, Suprio, et al.
Published: (2023)
by: Bhar, Suprio, et al.
Published: (2023)
A new adaptive local polynomial density estimation procedure on complicated domains
by: Bertin, Karine, et al.
Published: (2023)
by: Bertin, Karine, et al.
Published: (2023)
Tweedie-based nonparametric estimation for semicontinuous mixed densities
by: Lyu, Guanjie, et al.
Published: (2026)
by: Lyu, Guanjie, et al.
Published: (2026)
Kernel Density Machines
by: Della Vecchia, Andrea, et al.
Published: (2025)
by: Della Vecchia, Andrea, et al.
Published: (2025)
Nonparametric estimation of the stationary density for Hawkes-diffusion systems with known and unknown intensity
by: Amorino, Chiara, et al.
Published: (2024)
by: Amorino, Chiara, et al.
Published: (2024)
Robust Tail Index Estimation under Random Censoring via Minimum Density Power Divergence
by: Guesmia, Nour Elhouda, et al.
Published: (2025)
by: Guesmia, Nour Elhouda, et al.
Published: (2025)
Insights into Tail-Based and Order Statistics
by: Almani, Hamidreza Maleki
Published: (2025)
by: Almani, Hamidreza Maleki
Published: (2025)
Asymptotically efficient estimation under local constraint in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2024)
by: Gili, Francesco, et al.
Published: (2024)
Adaptive estimation of $\mathbb{L}_2$-norm of a probability density and related topics I. Lower bounds
by: Cleanthous, Galatia, et al.
Published: (2024)
by: Cleanthous, Galatia, et al.
Published: (2024)
Similar Items
-
Dirichlet kernel density estimation for strongly mixing sequences on the simplex
by: Daayeb, Hanen, et al.
Published: (2025) -
Nonparametric estimation of trawl processes: Theory and applications
by: Sauri, Orimar, et al.
Published: (2022) -
Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting
by: Hoang, Van Ha, et al.
Published: (2025) -
Minimax properties of gamma kernel density estimators under $L^p$ loss and $β$-Hölder smoothness of the target
by: Ouimet, Frédéric
Published: (2026) -
On nonparametric estimation of the interaction function in particle system models
by: Belomestny, Denis, et al.
Published: (2024)