Cover Image

Model robust hybrid likelihood

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dæhlen, Ingrid, Hjort, Nils Lid
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Bayesian and Empirical Bayesian Bootstrapping
by: Hjort, Nils Lid
Published: (2026)

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

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

Performance of Efron and Tibshirani's semiparametric density estimator
by: Hjort, Nils Lid
Published: (2026)

Estimating the logistic regression equation when the model is incorrect
by: Hjort, Nils Lid
Published: (2026)

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

A simple proof of the discreteness of Dirichlet processes
by: Hjort, Nils Lid
Published: (2026)

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

Second order asymptotics for the number of times an estimator is more than epsilon from its target value
by: Hjort, Nils Lid, et al.
Published: (2026)

On the errors committed by sequences of estimator functionals
by: Grønneberg, Steffen, et al.
Published: (2026)

On Expectation Propagation and the Probabilistic Editor in some simple mixture problems
by: Hjort, Nils Lid, et al.
Published: (2026)

On the last time and the number of times an estimator is more than epsilon from its target value
by: Hjort, Nils Lid, et al.
Published: (2026)

Sometimes nonparametrics beat parametrics, even when the model is right
by: Byholt, Morten, et al.
Published: (2026)

Density Estimation Using the Sinc Kernel
by: Glad, Ingrid Kristine, et al.
Published: (2026)

Probability Proofs for Stirling (and More): the Ubiquitous Role of $\mathbf{\sqrt{2π}}$
by: Hjort, Nils Lid, et al.
Published: (2024)

Upper Bounds for the I-MSE and max-MSE of Kernel Density Estimators
by: Hjort, Nils Lid, et al.
Published: (2026)

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

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

On the time a diffusion process spends along a line
by: Hjort, Nils Lid, et al.
Published: (2026)

Sudoku Solving and Finding Magic Squares by Probability Models and Markov Chains
by: Hjort, Nils Lid
Published: (2026)

Confidence in confidence distributions!
by: Cunen, Céline, et al.
Published: (2026)

Asymptotic properties of adaptive designs through differentiability in quadratic mean
by: Christensen, Dennis, et al.
Published: (2023)

Anyone for chess? Analysing chess ratings above high thresholds
by: Hjort, Nils Lid
Published: (2026)

Random irregular histograms
by: Simensen, Oskar Høgberg, et al.
Published: (2025)

Six-Minute Man Sander Eitrem 5:58.52 -- first man below the 6:00.00 barrier
by: Hjort, Nils Lid
Published: (2026)

Bayesian bivariate survival estimation
by: Ghosh, J. K., et al.
Published: (2026)

Dynamic likelihood hazard rate estimation
by: Hjort, Nils Lid
Published: (2026)

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

Philosophical foundations of statistics
by: Helland, Inge G., et al.
Published: (2026)

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

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

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

Synthetic likelihood in misspecified models
by: Frazier, David T., et al.
Published: (2021)

Maximum likelihood degree of the $β$-stochastic blockmodel
by: Bortner, Cashous, et al.
Published: (2024)

Algebraic approach to maximum likelihood factor analysis
by: Fukasaku, Ryoya, et al.
Published: (2024)

Empirical likelihood for generalized smoothly trimmed mean
by: Kresse, Elina, et al.
Published: (2024)

Maximum likelihood estimation for the $λ$-exponential family
by: Tian, Xiwei, et al.
Published: (2025)

Maximum likelihood estimation in the sparse Rasch model
by: Peng, Pai, et al.
Published: (2025)