collaborators

43 papers

stat.ME2026

Focused Information Criteria

Gerda Claeskens, Nils Lid Hjort

The focused information criterion is used to make a choice among several statistical models, or among several variables to include in a model. Different from other such information…

math.ST2026

On multiplicative bias correction in kernel density estimation

M. C. Jones, D. F. Signorini, Nils Lid Hjort

Hjort and Glad (1995) present a method for semiparametric density estimation. Relative to the ordinary kernel density estimator, this technique performs much better when a parametr…

stat.ME2026

Post-Processing Posterior Predictive P-values

Nils Lid Hjort, Fredrik A. Dahl, Gunnhildur Högnadóttir Steinbakk

This article addresses issues of model criticism and model comparison in Bayesian contexts, and focusses on the use of the so-called posterior predictive p-values (ppp values). The…

stat.ME2026

Topics in Nonparametric Bayesian Statistics

Nils Lid Hjort

The intersection set of Bayesian and nonparametric statistics was almost empty until about 1973, but now is growing at a healthy rate. This chapter, for the {\it Highly Structured…

math.ST2026

Bayesian and Empirical Bayesian Bootstrapping

Nils Lid Hjort

Let be a random sample from an unknown probability distribution on the sample space , and let be a parameter of interest. The present pape…

stat.ME2026

Tests for constancy of model parameters Over time

Nils Lid Hjort, Alex J. Koning

Suppose that a sequence of data points follows a distribution of a certain parametric form, but that one or more of the underlying parameters may change over time. This paper addre…