Cover Image

A PRticle filter algorithm for nonparametric estimation of multivariate mixing distributions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dixit, Vaidehi, Martin, Ryan
Format:	Preprint
Published:	2022
Subjects:	Computation Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Anytime valid and asymptotically optimal inference driven by predictive recursion
by: Dixit, Vaidehi, et al.
Published: (2023)

A monotonic MM-type algorithm for estimation of nonparametric finite mixture models with dependent marginals
by: Levine, Michael
Published: (2025)

On the choice of the two tuning parameters for nonparametric estimation of an elliptical distribution generator
by: Ryan, Victor, et al.
Published: (2024)

A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series
by: Liu, Yixuan, et al.
Published: (2023)

A nonparametric approach to understand multivariate quantile dynamics in financial time series
by: Rai, Kunal, et al.
Published: (2026)

Bayesian nonparametric modeling of multivariate count data with an unknown number of traits
by: Ghilotti, Lorenzo, et al.
Published: (2025)

A nonparametric approach to practical identifiability of nonlinear mixed effects models
by: Cassidy, Tyler, et al.
Published: (2025)

Regularized estimation for highly multivariate spatial Gaussian random fields
by: Cuevas-Pacheco, Francisco, et al.
Published: (2026)

Depth-based estimation for multivariate functional data with phase variability
by: Arribas-Gil, Ana, et al.
Published: (2026)

Locally parametric nonparametric density estimation
by: Hjort, Nils Lid, et al.
Published: (2026)

Bayesian nonparametric modeling of mixed-type bounded data
by: Liu, Rufeng, et al.
Published: (2025)

Tweedie-based nonparametric estimation for semicontinuous mixed densities
by: Lyu, Guanjie, et al.
Published: (2026)

MCMC for Bayesian nonparametric mixture modeling under differential privacy
by: Beraha, Mario, et al.
Published: (2023)

Clustering data with values missing at random using scale mixtures of multivariate skew-normal distributions
by: Pillay, Jason, et al.
Published: (2025)

Is this normal? A new projection pursuit index to assess a sample against a multivariate null distribution
by: Calvi, Annalisa, et al.
Published: (2025)

Efficient nonparametric estimators of discrimination measures with censored survival data
by: Breum, Marie Skov, et al.
Published: (2024)

Efficient nonparametric estimation of Toeplitz covariance matrices
by: Klockmann, Karolina, et al.
Published: (2023)

Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data
by: Mukherjee, Arghya, et al.
Published: (2025)

Asymptotic expected sensitivity function and its applications to nonparametric correlation estimators
by: Zhang, Qingyang
Published: (2024)

On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary errors
by: Sousa, Alex Rodrigo dos S., et al.
Published: (2024)

Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
by: Jetsupphasuk, Michael, et al.
Published: (2025)

Sleep pattern profiling using a finite mixture of contaminated multivariate skew-normal distributions on incomplete data
by: Pillay, Jason, et al.
Published: (2025)

Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood
by: Koslik, Jan-Ole
Published: (2024)

Robust regularized covariance matrix estimation: well-posedness and convergent algorithm
by: Yi, Mengxi, et al.
Published: (2026)

Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
by: Zheng, Nan, et al.
Published: (2024)

Dealing with overdispersion in multivariate count data
by: Corsini, Noemi, et al.
Published: (2021)

Cholesky-based multivariate Gaussian regression
by: Muschinski, Thomas, et al.
Published: (2021)

Spatial meshing for general Bayesian multivariate models
by: Peruzzi, Michele, et al.
Published: (2022)

A Bayesian approach to learning mixtures of nonparametric components
by: Zhang, Yilei, et al.
Published: (2025)

An efficient Monte Carlo method for valid prior-free possibilistic statistical inference
by: Martin, Ryan
Published: (2025)

A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance
by: Martínez-Minaya, Joaquín, et al.
Published: (2023)

Parametric or nonparametric: the FIC approach for stationary time series
by: Hermansen, Gudmund, et al.
Published: (2026)

Model averaging with mixed criteria for estimating high quantiles of extreme values: Application to heavy rainfall
by: Shin, Yonggwan, et al.
Published: (2025)

Piecewise-linear modeling of multivariate geometric extremes
by: Campbell, Ryan, et al.
Published: (2024)

Factor pre-training in Bayesian multivariate logistic models
by: Mauri, Lorenzo, et al.
Published: (2024)

Asymptotic theory for nonparametric testing of $k$-monotonicity in discrete distributions
by: Balabdaoui, Fadoua, et al.
Published: (2024)

Diagnostic tools for exploring differences in distributional properties between two samples: nonparametric approach
by: Ćmiel, Bogdan, et al.
Published: (2025)

Fast nonparametric spectral density estimation from irregularly sampled data
by: Geoga, Christopher J., et al.
Published: (2025)

Gaussian credible intervals in Bayesian nonparametric estimation of the unseen
by: Contardi, Claudia, et al.
Published: (2025)

Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series
by: Ondrus, Martin, et al.
Published: (2021)