:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tonaki, Yozo, Kaino, Yusuke, Uchida, Masayuki
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	https://arxiv.org/abs/2404.02513
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Small dispersion asymptotics for an SPDE in two space dimensions using triple increments
by: Tonaki, Yozo, et al.
Published: (2024)

Estimation for the damping factor of the driving process of an SPDE in two space dimensions
by: Tonaki, Yozo, et al.
Published: (2024)

Estimation for linear parabolic SPDEs in two space dimensions with unknown damping parameters
by: Tonaki, Yozo, et al.
Published: (2025)

Volatility change point detection for linear parabolic SPDEs
by: Tonaki, Yozo, et al.
Published: (2025)

QBIC of SEM for diffusion processes from discrete observations
by: Kusano, Shogo, et al.
Published: (2024)

QBIC of SEM for jump-diffusion processes based on high-frequency data
by: Kusano, Shogo, et al.
Published: (2026)

Statistical inference in SEM for diffusion processes with jumps based on high-frequency data
by: Kusano, Shogo, et al.
Published: (2025)

Quasi-Akaike information criterion of structural equation modeling with latent variables for diffusion processes
by: Kusano, Shogo, et al.
Published: (2024)

Akaike-type information criterion of SEM for jump-diffusion processes based on high-frequency data
by: Kusano, Shogo, et al.
Published: (2025)

Quasi-likelihood ratio test for jump-diffusion processes based on adaptive maximum likelihood inference
by: Nishikawa, Hiromasa, et al.
Published: (2025)

The SPDE approach for spatio-temporal datasets with advection and diffusion
by: Clarotto, Lucia, et al.
Published: (2022)

Increasing dimension asymptotics for two-way crossed mixed effect models
by: Lyu, Ziyang, et al.
Published: (2024)

SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation
by: Alberola-Boloix, Enric, et al.
Published: (2026)

Non-parametric estimation of non-linear diffusion coefficient in parabolic SPDEs
by: Andersson, Martin, et al.
Published: (2025)

Consistency of the bootstrap for asymptotically linear estimators based on machine learning
by: Tang, Zhou, et al.
Published: (2024)

The Laplace asymptotic expansion in high dimensions
by: Katsevich, Anya
Published: (2024)

Robustness for free: asymptotic size and power of max-tests in high dimensions
by: Kock, Anders Bredahl, et al.
Published: (2026)

Non-asymptotic statistical test of the diffusion coefficient of stochastic differential equations
by: Melnykova, Anna, et al.
Published: (2023)

On the asymptotic validity of confidence sets for linear functionals of solutions to integral equations
by: Smucler, Ezequiel, et al.
Published: (2025)

Tests for white noise via asymptotically independent U-statistics in high-dimensions
by: Xu, Yuanya
Published: (2026)

High-accuracy and dimension-free sampling with diffusions
by: Gatmiry, Khashayar, et al.
Published: (2026)

From sparse to dense functional data in high dimensions: Revisiting phase transitions from a non-asymptotic perspective
by: Guo, Shaojun, et al.
Published: (2023)

Bayesian one- and two-sided inference on the local effective dimension
by: Belitser, Eduard
Published: (2024)

Non-asymptotic two-sample kernel testing with the spectrally truncated normalized MMD
by: Lacroix, Perrine, et al.
Published: (2026)

Minimax asymptotics
by: Meitz, Mika, et al.
Published: (2025)

Non-asymptotic confidence regions on RKHS. The Paley-Wiener and standard Sobolev space cases
by: Gamboa, Fabrice, et al.
Published: (2025)

The asymptotic effect of tuning parameters
by: Dæhlen, Ingrid, et al.
Published: (2026)

Dynamical mean-field analysis of adaptive Langevin diffusions: Propagation-of-chaos and convergence of the linear response
by: Fan, Zhou, et al.
Published: (2025)

Adaptive tail index estimation: minimal assumptions and non-asymptotic guarantees
by: Lederer, Johannes, et al.
Published: (2025)

Spatial confounding under infill asymptotics
by: Bolin, David, et al.
Published: (2024)

Robust estimation via $γ$-divergence for diffusion processes
by: Nakagawa, Tomoyuki, et al.
Published: (2026)

Scaling limits for sample autocovariance operators of Hilbert space-valued linear processes
by: Düker, Marie-Christine, et al.
Published: (2025)

Closed-form linear moments of the two-dimensional angular central Gaussian distribution
by: Vareilles, Siméon
Published: (2026)

Can we have it all? Non-asymptotically valid and asymptotically exact confidence intervals for expectations and linear regressions
by: Derumigny, Alexis, et al.
Published: (2025)

Theory of non-linear diffusion with a physical gapped mode
by: Abbasi, Navid, et al.
Published: (2022)

Z-estimation system: a modular approach to asymptotic analysis
by: Hu, Jie Kate
Published: (2024)

The two upper critical dimensions of the Ising and Potts models
by: Wiese, Kay Joerg, et al.
Published: (2023)

High-frequency analysis of parabolic stochastic PDEs with multiplicative noise
by: Chong, Carsten
Published: (2019)

Mixed Steklov-Neumann problem: asymptotic analysis and applications to diffusion-controlled reactions
by: Grebenkov, Denis S.
Published: (2024)

On the asymptotic properties of product-PCA under the high-dimensional setting
by: Hung, Hung, et al.
Published: (2024)