Imagen de Portada

Bayesian Nonparametrics: Principles and Practice

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hjort, Nils Lid, Holmes, Chris, Mueller, Peter, Walker, Stephen G.
Formato:	Preprint
Publicado:	2026
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Topics in Nonparametric Bayesian Statistics
por: Hjort, Nils Lid
Publicado: (2026)

Local Bayesian Regression
por: Hjort, Nils Lid
Publicado: (2026)

Nonparametric density estimation with a parametric start
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Minimum L2 and robust Kullback-Leibler estimation
por: Hjort, Nils Lid
Publicado: (2026)

On inference in parametric survival data models
por: Hjort, Nils Lid
Publicado: (2026)

Estimation in moderately misspecified models
por: Hjort, Nils Lid
Publicado: (2026)

Focused Relative Risk Information Criterion for Variable Selection in Linear Regression
por: Hjort, Nils Lid
Publicado: (2026)

Dynamic likelihood hazard rate estimation
por: Hjort, Nils Lid
Publicado: (2026)

Focused Information Criteria for the Linear Hazard Regression Model
por: Hjort, Nils Lid
Publicado: (2026)

The stochastic view used in climate sciences: (some) perspectives from (some of) mathematical statistics
por: Hjort, Nils Lid
Publicado: (2026)

Towards Semiparametric Bandwidth Selectors for Kernel Density Estimators
por: Hjort, Nils Lid
Publicado: (2026)

Modelling pairs of Poissons and binomials with negative correlation
por: Hjort, Nils Lid
Publicado: (2026)

The exact amount of t-ness that the normal model can tolerate
por: Hjort, Nils Lid
Publicado: (2026)

Combining Information Across Diverse Sources: The II-CC-FF Paradigm
por: Cunen, Céline, et al.
Publicado: (2026)

Confidence Distributions and Related Themes
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Optimal inference via confidence distributions for two-by-two tables modelled as Poisson pairs: fixed and random effects
por: Cunen, Céline, et al.
Publicado: (2026)

Focused Information Criteria for Semiparametric Linear Hazard Regression
por: Gandy, Axel, et al.
Publicado: (2026)

Rejoinder to the discussants of the two JASA articles `Frequentist Model Averaging' and `The Focused Information Criterion', by Nils Lid Hjort and Gerda Claeskens
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Normalised Local Hazard Plots
por: Hjort, Nils Lid, et al.
Publicado: (2026)

ML, PL, QL in Markov chain models
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Confidence Distributions for FIC scores
por: Cunen, Céline, et al.
Publicado: (2026)

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

The partly parametric and partly nonparametric additive risk model
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
por: Rebaudo, Giovanni, et al.
Publicado: (2021)

Tests for constancy of model parameters Over time
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Estimation, inference and model selection for jump regression models
por: Grønneberg, Steffen, et al.
Publicado: (2026)

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

Post-Processing Posterior Predictive P-values
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Random irregular histograms
por: Simensen, Oskar Høgberg, et al.
Publicado: (2025)

Two-sample Bayesian Nonparametric Hypothesis Testing
por: Holmes, Chris C., et al.
Publicado: (2009)

Hybrid combinations of parametric and empirical likelihoods
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Bayesian and Empirical Bayesian Bootstrapping
por: Hjort, Nils Lid
Publicado: (2026)

A general framework for probabilistic model uncertainty
por: Shirvaikar, Vik, et al.
Publicado: (2024)

Predicting fixed-sample test decisions enables anytime-valid inference
por: Holmes, Chris, et al.
Publicado: (2026)

Bayesian analysis for a generalised Dirichlet process prior
por: Hjort, Nils Lid
Publicado: (2026)

Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
por: Nguyen, Khai, et al.
Publicado: (2024)

A note on kernel density estimators with optimal bandwidths
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Bayesian approaches to non- and semiparametric density estimation [with a rejoinder to my discussants]
por: Hjort, Nils Lid
Publicado: (2026)

Posterior inference via Hill's prediction model
por: Bissiri, Pier Giovanni, et al.
Publicado: (2026)

A New Look at the Visual Performance of Nonparametric Hazard Rate Estimators
por: Gefeller, Olaf, et al.
Publicado: (2026)