collaborators

23 papers

stat.OT2026

How many cards, until the first ace: variations, extensions, lachrymae, confidence, Dirichlets

Nils Lid Hjort

From a deck of cards, how many cards do I need to draw, until the first ace? I identify the distribution for this waiting time , and its satisfyingly nice expected value ${\rm E…

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 adju…

stat.AP2026

Recent advances in statistical methodology applied to the Hjort liver index time series (1859-2012) and associated influential factors

Gudmund H. Hermansen, Nils Lid Hjort, Olav S. Kjesbu

Certain recent advances in statistical methodology have promising potential for fruitful use in general biology and the fisheries sciences. This paper reviews and discusses some of…

stat.OT2026

Sudoku Solving and Finding Magic Squares by Probability Models and Markov Chains

Nils Lid Hjort

The sudoku puzzles have a long history, with variations going back more than a hundred years, but its current and perhaps surprising world-wide prominence goes back to certain init…

stat.AP2026

And Quiet Does Not Flow the Don: Statistical Analysis of a Quarrel Between Nobel Prize Laureates

Nils Lid Hjort

The Nobel Prize in literature 1965 was awarded Mikhail Sholokhov (1905-1984), for the epic novel Tikhij Don about Cossack life and the birth of a new Soviet society (And Quiet Flow…

math.ST2026

Bayesian bivariate survival estimation

J. K. Ghosh, Nils Lid Hjort, C. Messan +1

There is no easy extension of Kaplan-Meier and Nelson-Aalen estimators to the bivariate case, and estimating bivariate survival distributions nonparametrically is associated with v…

stat.AP2026

Overdispersed and Markovian Children

Nils Lid Hjort

Take a look around you -- in your family, your school or workplace, in the streets, and you see boys & girls in about equal proportion, and without any easily visible gender patter…

math.ST2026

The asymptotic effect of tuning parameters

Ingrid Dæhlen, Nils Lid Hjort, Ingrid Hobæk Haff

Tuning parameters are parameters involved in an estimating procedure for the purpose of reducing the risk of some other estimator. Examples include the degree of penalization in pe…

math.HO2026

But some are more equal than others

Nils Lid Hjort

All men are created equal, proclaimed Jefferson in 1776 -- but some are more equal than others, added Orwell in Animal Farm in 1945. So what's the probability that two skaters are…

math.ST2026

On the last time and the number of times an estimator is more than epsilon from its target value

Nils Lid Hjort, Grete Fenstad

Suppose is a strongly consistent estimator for in some i.i.d. situation. Let and be respectively the last and the total numb…

stat.OT2026

Philosophical foundations of statistics

Inge G. Helland, Nils Lid Hjort, Gunnar Taraldsen

The philosophical foundations of statistics involve issues in theoretical statistics, such as goals and methods to meet these goals, and interpretation of the meaning of inference…

stat.ME2026

Focused Information Criteria for Semiparametric Linear Hazard Regression

Axel Gandy, Nils Lid Hjort

The semiparametric linear hazard regression model introduced by McKeague and Sasieni (1994) is an extension of the linear hazard regression model developed by Aalen (1980). Methods…

stat.ME2026

Rejoinder to the discussants of the two JASA articles `Frequentist Model Averaging' and `The Focused Information Criterion', by Nils Lid Hjort and Gerda Claeskens

Nils Lid Hjort, Gerda Claeskens

We are honoured to have our work read and discussed at such a thorough level by several experts. Words of appreciation and encouragement are gratefully received, while the many sup…

stat.ME2026

Estimation, inference and model selection for jump regression models

Steffen Grønneberg, Gudmund Hermansen, Nils Lid Hjort

We consider regression models with data of the type , where the curve is taken locally constant, with unknown levels and jump points. We investigat…

math.ST2026

On Expectation Propagation and the Probabilistic Editor in some simple mixture problems

Nils Lid Hjort, Mike Titterington

As for other latent-variable problems, exact Bayesian analysis is typically not practicable for mixture problems and approximate methods have been developed. Variational Bayes tend…

stat.ME2026

Minimum L2 and robust Kullback-Leibler estimation

Nils Lid Hjort

This paper introduces two new robust methods for estimation of parameters in a given parametric family. The first method is that of `minimum weighted L2', effectively minimising an…

stat.ME2026

Optimal inference via confidence distributions for two-by-two tables modelled as Poisson pairs: fixed and random effects

Céline Cunen, Nils Lid Hjort

This paper presents methods for meta-analysis of tables, both with and without allowing heterogeneity in the treatment effects. Meta-analysis is common in medical rese…

stat.ME2026

Parametric or nonparametric: the FIC approach for stationary time series

Gudmund Hermansen, Nils Lid Hjort, Martin Jullum

We seek to narrow the gap between parametric and nonparametric modelling of stationary time series processes. The approach is inspired by recent advances in focused inference and m…