Nils Lid Hjort | Academic Influence

Nils Lid Hjort's AcademicInfluence.com Rankings

Nils Lid Hjort

Mathematics

#5483

World Rank

#7708

Historical Rank

Statistics

#557

World Rank

#636

Historical Rank

mathematics Degrees

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Mathematics

Why Is Nils Lid Hjort Influential?

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According to Wikipedia, Nils Lid Hjort is a Norwegian statistician, who has been a professor of mathematical statistics at the University of Oslo since 1991. Hjort's research themes are varied, with particularly noteworthy contributions in the fields of Bayesian probability , density estimation and nonparametric regression , model selection , confidence distributions, and change detection. He has also worked with spatial statistics, statistics of remote sensing, pattern recognition, etc.

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Nils Lid Hjort's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Model Selection and Model Averaging (2001) (1368)
Robust and efficient estimation by minimising a density power divergence (1998) (797)
Frequentist Model Average Estimators (2003) (650)
Nonparametric Bayes Estimators Based on Beta Processes in Models for Life History Data (1990) (510)
Model Selection and Model Averaging: Contents (2008) (461)
The Focused Information Criterion (2003) (354)
Locally parametric nonparametric density estimation (1996) (296)
Nonparametric Density Estimation with a Parametric Start (1995) (228)
Extending the Scope of Empirical Likelihood (2009) (225)
Asymptotics for minimisers of convex processes (2011) (215)
Confidence and Likelihood * (2002) (185)
Goodness‐of‐fit processes for logistic regression: simulation results (2002) (155)
On inference in parametric survival data models (1992) (148)
Comprar Model Selection and Model Averaging | Gerda Claeskens | 9780521852258 | Cambridge University Press (2008) (136)
A Comparison of related density-based minimum divergence estimators (2001) (118)
Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model (2006) (117)
Goodness of fit tests in models for life history data based on cumulative hazard rates (1990) (114)
Post-Processing Posterior Predictive p Values (2006) (106)
On Bayesian consistency (2001) (104)
Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions (2016) (90)
The Copula Information Criteria (2014) (81)
Tests For Constancy Of Model Parameters Over Time (2002) (79)
Topics in Spatial Statistics (1992) (72)
Bayesian Nonparametrics: An invitation to Bayesian nonparametrics (2010) (69)
Correction of Density Estimators that are not Densities (2003) (67)
Goodness of Fit via Non‐parametric Likelihood Ratios (2004) (53)
Frailty models based on Lévy processes (2003) (51)
Topics in spatial statistics. Discussion and comments (1994) (46)
ML, PL, QL in Markov Chain Models (2008) (44)
MINIMIZING AVERAGE RISK IN REGRESSION MODELS (2008) (43)
Bootstrapping Cox's Regression Model. (1985) (42)
A Simulation Study of Some Contextual Classification Methods For Remotely Sensed Data (1987) (42)
A Note on the Aitkin‐Rubin Approach to Hypothesis Testing in Mixture Models (1987) (37)
Bayesian Approaches to Non- and Semiparametric Density Estimation (1994) (35)
Exact Inference for Random Dirichlet Means (2005) (34)
Quantile pyramids for Bayesian nonparametrics (2009) (33)
Semiparametric estimation of parametric hazard rates (1992) (30)
Statistical classification using a linear mixture of two multinormal probability densities (1991) (30)
Bayesian analysis for a generalised Dirichlet process prior (2000) (28)
Focussed information criteria and model averaging for Cox's hazard regression model (2009) (27)
Bayesian Nonparametrics: List of contributors (2010) (26)
Frequentist Analogues of Priors and Posteriors (1999) (25)
Topics in Nonparametric Bayesian Statistics (2003) (25)
Bayes estimators and asymptotic efficiency in parametric counting process models (1986) (25)
Parametric or nonparametric: The FIC approach (2018) (23)
Bayesian Synthesis or Likelihood Synthesis - What Does the Borel Paradox Say? (1996) (23)
Bayesian Nonparametrics: Frontmatter (2010) (22)
Dynamic Likelihood Hazard Rate Estimation (1993) (21)
Frailty models that yield proportional hazards (2002) (21)
The association in time of a Markov process with application to multistate reliability theory (1985) (21)
The Exact Amount of t-ness that the Normal Model can Tolerate (1994) (19)
Fridge: Focused fine‐tuning of ridge regression for personalized predictions (2018) (17)
Bayesian Survival Analysis in Proportional Hazard Models with Logistic Relative Risk (2007) (17)
The Bernstein-Von Mises Theorem in Semiparametric Competing Risks Models (2009) (17)
Confidence distributions and related themes (2017) (16)
Model robust inference with two-stage maximum likelihood estimation for copulas (2019) (16)
Discussion: Rejoinder to 'The focussed information criterion' and 'Frequentist model averaging' (2003) (16)
Statistical sightings of better angels: Analysing the distribution of battle-deaths in interstate conflict over time (2020) (16)
Topics in Spatial Statistics [with Discussion, Comments and Rejoinder] (2008) (16)
On multiplicative bias correction in kernel density estimation (1999) (16)
What price semiparametric Cox regression? (2018) (14)
Nonparametric quantile inference with Dirichlet processes (2007) (14)
Bayesian and Empirical Bayesian Bootstrapping (1991) (14)
Estimation in moderately misspecified models (1991) (13)
On the Last Time and the Number of Times an Estimator is More than $\varepsilon$ From its Target Value (1992) (12)
A note on kernel density estimators with optimal bandwidths (2001) (12)
Mean-squared error of kernel estimators for finite values of the sample size (2007) (11)
Confidence distributions for change-points and regime shifts (2017) (10)
NONPARAMETRIC QUANTILE INFERENCE USING DIRICHLET PROCESSES (2006) (10)
Focused information criteria for copulas (2019) (10)
Major concerns about late hypothermia study (2018) (9)
Recent advances in statistical methodology applied to the Hjort liver index time series (1859–2012) and associated influential factors1 (2016) (9)
Bayesian Nonparametric Bootstrap Confidence Intervals (1985) (9)
Statistical Models and Methods for Discontinuous Phenomena (2002) (9)
Copula information criterion for model selection with two-stage maximum likelihood estimation (2019) (9)
The Focussed Information Criterion (2011) (9)
A parametric approach to kinship hypothesis testing using identity-by-descent parameters (2015) (8)
On Frequency Polygons and Average Shifted Histograms in Higher Dimensions (1986) (8)
On large-sample multiple comparison methods (1988) (8)
Bayesian synthesis or likelihood synthesis what does Borel ' s paradox say ? (2015) (8)
Focused Information Criteria for the Linear Hazard Regression Model (2008) (8)
Should the Olympic sprint skaters run 500 meter twice (1994) (7)
Model Selection and Model Averaging: The Bayesian information criterion (2008) (7)
The Eccentric Part of the Noncentral Chi Square (1988) (7)
Automatic Training in Statistical Pattern Recognition (1988) (6)
Bayesian bivariate survival estimation (2006) (6)
Statistical Corrections of Invalid Correlation Matrices (2013) (6)
Focused model selection for linear mixed models with an application to whale ecology (2020) (6)
CORRECTION OF DENSITY ESTIMATORS WHICH ARE NOT DENSITIES (6)
Rejoinder (2003) (5)
Confidence in confidence distributions! (2020) (5)
Second order asymptotics for the number of times an estimator is more than ε from its target value (1995) (5)
Discussion: On the Consistency of Bayes Estimates (1986) (5)
Model Selection via Focused Information Criteria for Complex Data in Ecology and Evolution (2019) (5)
Bernshteĭn–von Mises theorems for nonparametric function analysis via locally constant modelling: A unified approach (2015) (4)
Why results from Bayesian statistical analyses of clinical trials with a strong prior and small sample sizes may be misleading The case of the NICHD Neonatal Research Network Late Hypothermia Trial (2019) (4)
Multivariate estimation of Poisson parameters (2019) (4)
Constancy of distributions: nonparametric monitoring of probability distributions over time (2001) (4)
On the time a diffusion process spends along a line (1993) (4)
Variogram Estimation in a Bayesian Framework (1996) (4)
Comment (2014) (4)
Combining information across diverse sources: The II‐CC‐FF paradigm (2021) (4)
On the Distribution of Random Dirichlet Jumps (2006) (4)
Bayesian Nonparametrics: Further models and applications (2010) (3)
Model Selection and Model Averaging: Akaike's information criterion (2008) (3)
Frequentist model averaging and model selection (2003) (3)
Exact Performance of a Semiparametric Density Estimator for Normal Mixture Truths (1996) (3)
Model Selection and Model Averaging: Lack-of-fit and goodness-of-fit tests (2008) (3)
An invitation to Bayesian nonparametrics (2010) (3)
Model Uncertainty First, Not Afterwards (2016) (3)
Constancy of distributions: asymptotic efficiency of certain nonparametric tests of constancy (2002) (3)
Performance of Efron and Tibshirani's semiparametric density estimator (1996) (3)
Normalised local hazard plots (1993) (2)
Local Bayesian Regression (1994) (2)
Decline in body condition in the Antarctic minke whale (Balaenoptera bonaerensis) in the Southern Ocean during the 1990s (2021) (2)
Local Fitting of Regression Models by Likelihood: What's Important? (1994) (2)
Integrating confidence intervals , likelihoods and confidence distributions (2013) (2)
Indirect and Direct Likelihoods and Their Synthesis (1997) (2)
On the errors committed by sequences of estimator functionals (2011) (2)
Towards Semiparametric Bandwith Selectors for Kernel Density Estimators (1999) (2)
Hybrid combinations of parametric and empirical likelihoods. (2018) (2)
Bayesian Inference Using an Extension of the Dirichlet Process (2003) (1)
Upper bounds for the MISE of Kernel Estimators of Probability Density Functions and their Derivatives (1)
Model Selection and Model Averaging: Model selection: data examples and introduction (2008) (1)
Start cooling as soon as possible (2019) (1)
The partly parametric and partly nonparametric additive risk model (2021) (1)
Upper bounds for the I-MSE and max-MSE of kernel density estimators (1999) (1)
Sometimes nonparametrics beat parametrics, even when the model is right (1996) (1)
Model selection and model averagin (2013) (1)
Models and inference for on–off data via clipped Ornstein–Uhlenbeck processes (2020) (1)
Model Selection and Model Averaging: Frequentist and Bayesian model averaging (2008) (1)
Model robust inference for copulae via two-stage maximum likelihood estimation (2017) (1)
Discussion: Approximating data (2008) (1)
Improved approximations for confidence distributions (2016) (0)
A New Look at the Visual Performance of Nonparametric Hazard Rate Estimators (1998) (0)
Exponential families and generalised linear models (2016) (0)
A new framework for semi-Markovian parametric multi-state models with interval censoring. (2023) (0)
Hybrid combinations of parametric and empirical likelihoods Hjort, N., McKeague, I. and I. Van Keilegom Hybrid combinations of parametric and empirical likelihoods (2018) (0)
Rejoinder to the Discusion of the two Hjort and Claeskens Articles (2003) (0)
What price semiparametric Cox regression? (2018) (0)
MEMORANDUM No 1 / 2001 Confidence and Likelihood By Tore Schweder and (2001) (0)
Invariance, sufficiency and optimality for confidence distributions (2016) (0)
Predictions and confidence (2016) (0)
MEMORANDUM No 4 / 2001 Out-Migration of Immigrants : Implications for Assimilation Analysis (2001) (0)
The fiducial argument (2016) (0)
Overview of examples and data (2016) (0)
Inference in parametric models (2016) (0)
On the last n where || ^θn - θn || ≥ ε (1990) (0)
Simultaneous Estimation of Poisson Parameters (2019) (0)
Focused information criterion for copulas (2018) (0)
Model selection and averaging schemes in action (2008) (0)
Model Selection and Model Averaging: Bigger is not always better (2008) (0)
Confidence Distributions for FIC Scores (2020) (0)
Appendix: Large-sample theory with applications (2016) (0)
Confidence, Likelihood, Probability: Confidence, likelihood, probability: An invitation (2016) (0)
Discussion (2013) (0)
Characterisations of Random Dirichlet Means (2003) (0)
Confidence distributions in higher dimensions (2016) (0)
Finale: Summary, and a look into the future (2016) (0)
Model Selection and Model Averaging: Further topics (2008) (0)
Confidence in non- and semiparametric models (2016) (0)
Likelihoods and confidence likelihoods (2016) (0)
Meta-analysis and combination of information (2016) (0)
Model Selection and Model Averaging: Overview of data examples (2008) (0)
Model Selection and Model Averaging: References (2008) (0)
Further developments for confidence distribution (2016) (0)
Some exponential distributions associated with Brownian motion (1991) (0)
Model Selection and Model Averaging: A comparison of some selection methods (2008) (0)
Bayesian Nonparametrics: Principles and Practice Introduction (2018) (0)

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What Schools Are Affiliated With Nils Lid Hjort?

Nils Lid Hjort is affiliated with the following schools:

University of Oslo

What Are Nils Lid Hjort's Academic Contributions?

Nils Lid Hjort is most known for their academic work in the field of mathematics. They are also known for their academic work in the fields of

Nils Lid Hjort has made the following academic contributions:

Model selection and model averaging