collaborators

22 papers

math.ST2026

Nonparametric quantile inference using Dirichlet processes

Nils Lid Hjort, Sonia Petrone

This chapter deals with nonparametric inference for quantiles from a Bayesian perspective, using the Dirichlet process. The posterior distribution for quantiles is characterised, e…

math.ST2026

Notes on the Theory of Statistical Symbol Recognition

Nils Lid Hjort

This document is a pdf generated from old plain-TeX files of 1986, of Nils Lid Hjort's `Notes on the Theory of Statistical Symbol Recogntion', a limited circulation 207-pages monog…

stat.AP2026

Counting the uncounted: How many were killed in Guatemala, 1978-1995?

Nils Lid Hjort

In various application domains, there is a certain `null cell', inside a multinomial setup, where observations are recorded for the other cells, but where one cannot count the numb…

math.ST2026

Estimating the logistic regression equation when the model is incorrect

Nils Lid Hjort

Protesting mildly against the notion of an exactly correct parametric model the view is adopted that the logistic regression equation is merely an approximation to the underlying,…

stat.ME2026

Bayesian Nonparametrics: Principles and Practice

Nils Lid Hjort, Chris Holmes, Peter Mueller +1

This extended preface [to the Book `Bayesian Nonparametrics', Cambridge University Press, 2010, by NL Hjort, CC Holmes, P Mueller, SG Walker] is meant to explain why you are right…

stat.ME2026

Modelling pairs of Poissons and binomials with negative correlation

Nils Lid Hjort

Suppose and are given marginals for pairs . I consider the construction , where and are seen as bounded adj…