Cover Image

Conditional distributions for the nested Dirichlet process via sequential imputation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Donald, Evan, Swanson, Jason
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory Probability 62G05 (Primary) 60G57, 62D10, 62M20 (Secondary)
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Aldous-Hoover type representation for row exchangeable arrays
by: Donald, Evan, et al.
Published: (2025)

Random Modulation with Spherical Symmetry
by: Bagyan, Armine, et al.
Published: (2025)

Poisson hulls
by: Last, Günter, et al.
Published: (2022)

A Statistical Framework for Learning Preferences from the Past
by: Sadhukhan, Tamojit, et al.
Published: (2026)

The limit joint distributions of some statistics used in testing the quality of random number generators
by: Savelov, M. P.
Published: (2025)

Minimax estimation of the structure factor of spatial point processes
by: Mastrilli, Gabriel
Published: (2025)

Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression
by: Das, Abhinav, et al.
Published: (2024)

Direct Estimation of Schrödinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees
by: Mazhar, Othmane, et al.
Published: (2026)

Testing Independence of Infinite Dimensional Random Elements: A Sup-norm Approach
by: Bhar, Suprio, et al.
Published: (2023)

Mixed orthogonality graphs for continuous-time state space models and orthogonal projections
by: Fasen-Hartmann, Vicky, et al.
Published: (2023)

Mixed orthogonality graphs for continuous-time stationary processes
by: Fasen-Hartmann, Vicky, et al.
Published: (2023)

Dirichlet kernel density estimation for strongly mixing sequences on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)

Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
by: Zhang, Yikun, et al.
Published: (2024)

On lead-lag estimation of non-synchronously observed point processes
by: Shiotani, Takaaki, et al.
Published: (2026)

Nonparametric Bayesian inference for stochastic processes with piecewise constant priors
by: Belomestny, Denis, et al.
Published: (2023)

Asymptotic uniqueness in long-term prediction
by: Vovk, Vladimir
Published: (2023)

Quantifying and testing dependence to categorical variables
by: Hörmann, Siegfried, et al.
Published: (2025)

On the dependence between a Wiener process and its running maxima and running minima processes
by: Dąbrowski, Karol, et al.
Published: (2021)

Conditioning of Banach Space Valued Gaussian Random Variables: An Approximation Approach Based on Martingales
by: Steinwart, Ingo
Published: (2024)

Partial correlation graphs for continuous-parameter time series
by: Fasen-Hartmann, Vicky, et al.
Published: (2024)

TwinKernel Estimation for Point Process Intensity Functions: Adaptive Nonparametric Methods via Orbital Regularity
by: Nembé, Jocelyn
Published: (2025)

Estimating hazard rates from $δ$-records in discrete distributions
by: Alcalde, Martín, et al.
Published: (2025)

Bump hunting through density curvature features
by: Chacón, José E., et al.
Published: (2022)

The Integer-valued Moving-Average Random Field
by: Silbernagel, Angelika, et al.
Published: (2026)

Longitudinal Network Models and Permutation-Uniform Markov Chains
by: Schwartz, William K., et al.
Published: (2021)

Layered Hill estimator for extreme data in clusters
by: Kang, Taegyu, et al.
Published: (2024)

On the optimal prediction of extreme events in heavy-tailed time series with applications to solar flare forecasting
by: Verma, Victor, et al.
Published: (2024)

Low-Rank and Sparse Drift Estimation for High-Dimensional Lévy-Driven Ornstein--Uhlenbeck Processes
by: Palaisti, Marina
Published: (2026)

Nonparametric estimation of trawl processes: Theory and applications
by: Sauri, Orimar, et al.
Published: (2022)

Statistical Inference for Bures-Wasserstein Flows
by: Santoro, Leonardo V., et al.
Published: (2023)

Nonparametric density estimation for stationary processes under multiplicative measurement errors
by: Dang, Duc Trong, et al.
Published: (2024)

Statistical properties of approximate geometric quantiles in infinite-dimensional Banach spaces
by: Romon, Gabriel
Published: (2022)

Nonparametric velocity estimation in stochastic convection-diffusion equations from multiple local measurements
by: Strauch, Claudia, et al.
Published: (2024)

Distribution-free Measures of Association based on Optimal Transport
by: Deb, Nabarun, et al.
Published: (2024)

Berry-Esseen Bounds and Moderate Deviations for Catoni-Type Robust Estimation
by: Cai, Zhijun, et al.
Published: (2026)

Is model selection possible for the $\ell_p$-loss? PCO estimation for regression models
by: Lacour, Claire, et al.
Published: (2025)

First-order planar autoregressive model
by: Shklyar, Sergiy
Published: (2024)

Estimating the tail index of Pareto-type distributions from geometric records
by: Alcalde, Martín, et al.
Published: (2026)

Predictive Inference via Kernel Density Estimates
by: Hilbert, Torey
Published: (2026)

Functional limit laws for the intensity measure of point processes and applications
by: Francisci, Giacomo, et al.
Published: (2024)