Kernel entropy estimation for linear processes II
Fuente:
arXiv
Saved in:
| Main Authors: | Xiong, Yudan, Xu, Fangjun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Limit theorems for functionals of linear processes in critical regions
by: Xiong, Yudan, et al.
Published: (2025)
by: Xiong, Yudan, et al.
Published: (2025)
Spectral estimation for high-dimensional linear processes
by: Namdari, Jamshid, et al.
Published: (2025)
by: Namdari, Jamshid, et al.
Published: (2025)
Nonparametric estimation of linear multiplier for processes driven by a Hermite process
by: Rao, B. L. S. Prakasa
Published: (2026)
by: Rao, B. L. S. Prakasa
Published: (2026)
Statistical tests based on Renyi entropy estimation
by: Cadirci, Mehmet Siddik, et al.
Published: (2025)
by: Cadirci, Mehmet Siddik, et al.
Published: (2025)
On estimation of skewed stable linear regression
by: Kawamo, Eitaro, et al.
Published: (2024)
by: Kawamo, Eitaro, et al.
Published: (2024)
Nonparametric estimation of linear multiplier for processes driven by a bifractional Brownian motion
by: Rao, B. L. S. Prakasa
Published: (2024)
by: Rao, B. L. S. Prakasa
Published: (2024)
Uniform mean estimation for monotonic processes
by: Clerico, Eugenio, et al.
Published: (2025)
by: Clerico, Eugenio, et al.
Published: (2025)
Efficient estimation of partially linear additive Cox models and variance estimation under shape restrictions
by: Lang, Junjun, et al.
Published: (2024)
by: Lang, Junjun, et al.
Published: (2024)
Universality of estimators for high-dimensional linear models with block dependency
by: Tsuda, Toshiki, et al.
Published: (2024)
by: Tsuda, Toshiki, et al.
Published: (2024)
Consistency of the bootstrap for asymptotically linear estimators based on machine learning
by: Tang, Zhou, et al.
Published: (2024)
by: Tang, Zhou, et al.
Published: (2024)
Minimax and adaptive estimation of general linear functionals under sparsity
by: Xie, Jie, et al.
Published: (2025)
by: Xie, Jie, et al.
Published: (2025)
Cox processes driven by transformed Gaussian processes on linear networks -- A review and new contributions
by: Møller, Jesper, et al.
Published: (2022)
by: Møller, Jesper, et al.
Published: (2022)
Quasi-Maximum Likelihood Estimation of long-memory linear processes
by: Bardet, Jean-Marc, et al.
Published: (2023)
by: Bardet, Jean-Marc, et al.
Published: (2023)
Estimating non-linear functionals of trawl processes
by: Sauri, Orimar
Published: (2025)
by: Sauri, Orimar
Published: (2025)
Adaptive Elastic-Net estimation for sparse diffusion processes
by: De Gregorio, Alessandro, et al.
Published: (2024)
by: De Gregorio, Alessandro, et al.
Published: (2024)
Efficient estimation of stable Levy process with symmetric jumps
by: Brouste, Alexandre, et al.
Published: (2018)
by: Brouste, Alexandre, et al.
Published: (2018)
Parameter estimation for fractional autoregressive process with periodic structure
by: Cai, Chunhao, et al.
Published: (2025)
by: Cai, Chunhao, et al.
Published: (2025)
Consistency of heritability estimation from summary statistics in high-dimensional linear models
by: Azriel, David, et al.
Published: (2025)
by: Azriel, David, et al.
Published: (2025)
Compress Then Test: Powerful Kernel Testing in Near-linear Time
by: Domingo-Enrich, Carles, et al.
Published: (2023)
by: Domingo-Enrich, Carles, et al.
Published: (2023)
Asymptotic properties of maximum likelihood estimators for determinantal point processes
by: Hu, Yaozhong, et al.
Published: (2023)
by: Hu, Yaozhong, et al.
Published: (2023)
Composite goodness-of-fit test with the Kernel Stein Discrepancy and a bootstrap for degenerate U-statistics with estimated parameters
by: Brück, Florian, et al.
Published: (2025)
by: Brück, Florian, et al.
Published: (2025)
Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)
by: Maestrini, Luca, et al.
Published: (2024)
Consistent estimation in subcritical birth-and-death processes
by: Hautphenne, Sophie, et al.
Published: (2025)
by: Hautphenne, Sophie, et al.
Published: (2025)
Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs
by: Reding, Lucas, et al.
Published: (2024)
by: Reding, Lucas, et al.
Published: (2024)
Parametric estimation and LAN property of the birth-death-move process with mutations
by: Balsollier, Lisa, et al.
Published: (2024)
by: Balsollier, Lisa, et al.
Published: (2024)
Quasi-likelihood analysis for adaptive estimation of a degenerate diffusion process
by: Gloter, Arnaud, et al.
Published: (2024)
by: Gloter, Arnaud, et al.
Published: (2024)
Scale estimation and rate-unbiasedness for Gaussian processes under smoothness misspecification
by: Karvonen, Toni, et al.
Published: (2021)
by: Karvonen, Toni, et al.
Published: (2021)
Nonparametric Bayesian intensity estimation for covariate-driven inhomogeneous point processes
by: Giordano, Matteo, et al.
Published: (2023)
by: Giordano, Matteo, et al.
Published: (2023)
Beyond entropic regularization: Debiased Gaussian estimators for discrete optimal transport and general linear programs
by: Liu, Shuyu, et al.
Published: (2025)
by: Liu, Shuyu, et al.
Published: (2025)
Identification enhanced generalised linear model estimation with nonignorable missing outcomes
by: Beppu, Kenji, et al.
Published: (2022)
by: Beppu, Kenji, et al.
Published: (2022)
Adaptive minimax estimation for discretely observed Lévy processes
by: Duval, Céline, et al.
Published: (2024)
by: Duval, Céline, et al.
Published: (2024)
Nonparametric density estimation for the small jumps of Lévy processes
by: Duval, Céline, et al.
Published: (2024)
by: Duval, Céline, et al.
Published: (2024)
Robust estimations from distribution structures: II. Central Moments
by: Tuobang, Li
Published: (2024)
by: Tuobang, Li
Published: (2024)
Contraction rates and projection subspace estimation with Gaussian process priors in high dimension
by: Odin, Elie, et al.
Published: (2024)
by: Odin, Elie, et al.
Published: (2024)
Drift estimation for a partially observed mixed fractional Ornstein--Uhlenbeck process
by: Cai, Chunhao
Published: (2025)
by: Cai, Chunhao
Published: (2025)
Estimation of Change Points for Non-linear (auto-)regressive processes using Neural Network Functions
by: Kirch, Claudia, et al.
Published: (2025)
by: Kirch, Claudia, et al.
Published: (2025)
Phase transition for conditional covariance matrices estimated by importance sampling, and implications for cross-entropy schemes in high dimension
by: Beh, Jason, et al.
Published: (2025)
by: Beh, Jason, et al.
Published: (2025)
Drift estimation for rough processes under small noise asymptotic : trajectory fitting method
by: Gloter, Arnaud, et al.
Published: (2025)
by: Gloter, Arnaud, et al.
Published: (2025)
Maximum likelihood estimation in the ergodic Volterra Ornstein-Uhlenbeck process
by: Alaya, Mohamed Ben, et al.
Published: (2024)
by: Alaya, Mohamed Ben, et al.
Published: (2024)
Dimension-free comparison estimates for suprema of some canonical processes
by: Sharma, Shivam
Published: (2023)
by: Sharma, Shivam
Published: (2023)
Similar Items
-
Limit theorems for functionals of linear processes in critical regions
by: Xiong, Yudan, et al.
Published: (2025) -
Spectral estimation for high-dimensional linear processes
by: Namdari, Jamshid, et al.
Published: (2025) -
Nonparametric estimation of linear multiplier for processes driven by a Hermite process
by: Rao, B. L. S. Prakasa
Published: (2026) -
Statistical tests based on Renyi entropy estimation
by: Cadirci, Mehmet Siddik, et al.
Published: (2025) -
On estimation of skewed stable linear regression
by: Kawamo, Eitaro, et al.
Published: (2024)