Image de couverture de livre

Flexible Bayesian Nonparametric Product Mixtures for Multi-scale Functional Clustering

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yao, Tsung-Hung, Kundu, Suprateek
Format:	Preprint
Publié:	2024
Sujets:	Methodology Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Nonparametric Maximum Likelihood Approach to Mixture of Regression
par: Jiang, Hansheng, et autres
Publié: (2021)

Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
par: Rebaudo, Giovanni, et autres
Publié: (2021)

Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
par: Zorzetto, Dafne, et autres
Publié: (2024)

Deep Nonparametric Inference for Conditional Hazard Function
par: Su, Wen, et autres
Publié: (2024)

Principled Estimation and Prediction with Competing Risks: a Bayesian Nonparametric Approach
par: Del Sole, Claudio, et autres
Publié: (2026)

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
par: Wang, Xueqin, et autres
Publié: (2021)

Nonparametric Identification of Demand without Exogenous Product Characteristics
par: Borusyak, Kirill, et autres
Publié: (2025)

On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
par: Zhang, Yangjing, et autres
Publié: (2022)

Nonparametric Inference on Unlabeled Histograms
par: Ma, Yun, et autres
Publié: (2025)

Flexible Functional Treatment Effect Estimation
par: Wang, Jiayi, et autres
Publié: (2023)

Nonparametric Estimation via Partial Derivatives
par: Dai, Xiaowu
Publié: (2022)

Asymmetric Space-Time Covariance Functions via Hierarchical Mixtures
par: Ma, Pulong
Publié: (2025)

Nonparametric quantile regression for spatio-temporal processes
par: Deb, Soudeep, et autres
Publié: (2024)

Nonparametric, tuning-free estimation of S-shaped functions
par: Feng, Oliver Y., et autres
Publié: (2021)

Nonparametric Estimation of Mediation Effects with A General Treatment
par: Huang, Lukang, et autres
Publié: (2022)

Nonparametric Two-Sample Testing by Betting
par: Shekhar, Shubhanshu, et autres
Publié: (2021)

Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis
par: Cui, Chengyu, et autres
Publié: (2023)

Consistency of Nonparametric Density Estimators in CAT(0) Orthant Space
par: Takazawa, Yuki, et autres
Publié: (2025)

Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
par: van der Laan, Lars, et autres
Publié: (2025)

Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
par: Kim, Taehyun, et autres
Publié: (2026)

Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
par: Lin, Ruiyang, et autres
Publié: (2025)

Bernstein-type Inequalities and Nonparametric Estimation under Near-Epoch Dependence
par: Yuan, Zihao, et autres
Publié: (2022)

Poisson Empirical Bayes via Gamma-Smoothed Nonparametric Maximum Likelihood
par: Kim, Taehyun
Publié: (2026)

Nonparametric Empirical Bayes Confidence Intervals
par: Xie, Zhen
Publié: (2026)

Sufficient conditions for proper posteriors in fully-Bayesian Functional PCA
par: Sartini, Joseph, et autres
Publié: (2026)

Large-scale Multiple Testing of Cross-covariance Functions with Applications to Functional Network Models
par: Fang, Qin, et autres
Publié: (2024)

Optimal heteroskedasticity testing in nonparametric regression
par: Kotekal, Subhodh, et autres
Publié: (2023)

Principal Stratification with Continuous Post-Treatment Variables: Nonparametric Identification and Semiparametric Estimation
par: Lu, Sizhu, et autres
Publié: (2023)

Nonparametric priors with full-range borrowing of information
par: Ascolani, Filippo, et autres
Publié: (2023)

Nonparametric goodness of fit tests for Pareto type-I distribution with complete and censored data
par: Vishnu, Avhad Ganesh, et autres
Publié: (2024)

Multi-resolution subsampling for large-scale linear classification
par: Chen, Haolin, et autres
Publié: (2024)

Bayesian Calibration for Prediction in a Multi-Output Transposition Context
par: Sire, Charlie, et autres
Publié: (2024)

Nonparametric Uniform Inference in Binary Classification and Policy Values
par: Liu, Nan, et autres
Publié: (2025)

Bayesian Semiparametric Mixture Cure (Frailty) Models
par: Kızılaslan, Fatih, et autres
Publié: (2025)

Optimal Demixing of Nonparametric Densities
par: Fan, Jianqing, et autres
Publié: (2026)

A Relativity-Based Framework for Statistical Testing Guided by the Independence of Ancillary Statistics: Methodology and Nonparametric Illustrations
par: Vexler, Albert, et autres
Publié: (2025)

Equivalence Test for Mean Functions from Multi-population Functional Data
par: Xu, Chuang, et autres
Publié: (2025)

Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
par: Huang, Chengzhu, et autres
Publié: (2025)

Mixture Matrix-valued Autoregressive Model
par: Wu, Fei, et autres
Publié: (2023)

To Study Properties of a Known Procedure in Adaptive Sequential Sampling Design
par: Kundu, Sampurna, et autres
Publié: (2024)