Publications

^{Books, journal articles, technical reports, blog posts, pamphlets, fliers, FocuStat Notes, libretti, statistical poems, symposiae proceedings, and yet further names of the publication games.}

2018:

• Cunen, C., Walløe, L. and Hjort, N.L. (2018). Focused model selection for linear mixed models, with an application to whale ecology. Submitted for publication, March 2018.
• Parviero, R. (2018). Improving Ridge Regression via Model Selection and Focussed Fine-Tuning. Tesi de laurea magistrale, Università degli Studi di Milano-Bicocca (supervised by K. Hellton and N.L. Hjort), March 2018.
• Hjort, N.L. (2018). The Best Metal-Grabbing Games Ever. Post-Olympic FocuStat Blog Post, February 2018.
• Ko, V. and Hjort, N.L. (2018). Copula information criterion for model selection with two-stage maximum likelihood estimation. Submitted for publication, February 2018.
• Hjort, N.L. (2018). One Thousand is Unfair, Two Thousand is Fair. Pre-Olympic FocuStat Blog Post, February 2018.
• Sørensen, Ø., Hellton, K.H., Frigessi, A. and Thoresen, M. (2018). Covariate selection in high-dimensional generalized linear models with measurement errors. Journal of Computational and Graphical Statistics [to appear with page numbers etc.].
• Hjort, N.L. (2018). Towards a More Peaceful World [insert `!' or `?' here]. FocuStat Blog Post, January 2018.Cunen, C. and Hjort, N.L. (2018). Whales, Politics, and Statisticians. FocuStat Blog Post, January 2018.
• Hellton, K.H. and Hjort, N.L. (2018). Fridge: Focused Finetuning of Ridge Regression for Personalized Predictions. Statistics in Medicine 37, 1290-1303. [Yes, this one has been listed earlier, in an earlier version, but this is the final version, appearing in the journal, so far under "Early View", January 2018. Note the bokstavrim.]
• Hjort, N.L. and Schweder, T. (2018). Confidence distributions and related themes. General introduction article to a Special Issue of the Journal of Statistical Planning and Inference dedicated to this topic, with eleven articles, and with Hjort and Schweder as guest editors; vol. 195, 1-13. (Also listed below, but this is the final journal version.)
• Cunen, C., Hermansen, G. and Hjort, N.L. (2018). Confidence distributions for change-points and regime shifts. Journal of Statistical Planning and Inference 195, 14-34. (Also listed below, but this is the final journal version.)

2017:

• Stoltenberg, E. Aa. (2017). Objectivity, rationality and statistics. Exam essay for the Science, Ethics, Society PhD course mnses9100, December 2017.
• Ko, V. and Hjort, N.L. (2017). Model robust inference for copulae via two-stage maximum likelihood estimation. Submtted for publication.
• Hjort, N.L. Cooling of Newborns and the Difference Between 0.244 and 0.278. FocuStat Blog Post, December 2017.
• Schweder, T. Bayesian Analysis: Always and Everywhere? FocuStat Blog Post, November 2017.
• Cunen, C., Hermansen, G. and Stoltenberg, E.Aa. (2017). Bokmelding: T. Schweder and N.L. Hjort's Confidence, Likelihood, Probability (Cambridge University Press, 2016). FocuStat Blog Post, November 2017.
• Hellton, K.H. and Hjort, N.L. (2017). Fridge: Focused Finetuning of Ridge Regression for Personalized Predictions. [Revision of earlier article, now accepted for publication in Statistics in Medicine.]
• Hjort, N.L. and Schweder, T. (2017). Confidence distributions and related themes. General introduction article to a Special Issue of the Journal of Statistical Planning and Inference (to appear), dedicated to this topic, with eleven articles, and with Hjort and Schweder as guest editors.
• Cunen, C., Hermansen, G. and Hjort, N.L. (2017). Confidence distributions for change-points and regime shifts. Journal of Statistical Planning and Inference.
• Hauge, V.L. and Hermansen, G. (2017). Machine Learning methods for sweet spot detection: a case study. Quantitative Geology and Geostatistics, 19, 573-588.
• Olsen, H.G. and Hermansen, G. (2017). Recent advancements to nonparametric nodeling of interactions between reservoir parameters. Quantitative Geology and Geostatistics, 19, 653-669.
• Stoltenberg, E.Aa. (2017). Frekventisme, Bayes og likelihoodprinsippet. FocuStat Blog Post, July 2017.
• Cunen, C., Hermansen, G. and Stoltenberg, E.Aa. (2017). Book review: T. Schweder and N.L. Hjort's Confidence, Likelihood, Probability: Statistical Inference With Confidence Distributions (Cambridge University Press, 2016). Tilfeldig Gang, nr 1, juni 2017, pages 9-12.
• Hjort, N.L., McKeague, I.W. and Van Keilegom, I. (2017). Hybrid combinations of parametric and empirical likelihoods. To appear in Statistica Sinica.
• Jullum, M. and Hjort, N.L. (2017). Parametric or nonparametric: The FIC approach. Statistica Sinica 27, 951-981. With Supplementary Material (19 pages). [This is the published final version of the paper mentioned under 2016, below. We keep the 2016 version on this page since there are a few tiny differences between the next-to-final and final versions.]
• Stoltenberg, E. Aa. (2017). Frekventisme, Bayes og likelihoodprinsippet. Filosfisk supplement, 2 (special issue on the Philosophy of Mathematics), 58-65.
• Hellton, K.H. and Thoresen, M. (2017). When and why are principal component scores a good tool for visualizing high-dimensional data? Scandinavian Journal of Statistics 44, 581-597. 
• Barua, S. (2017). Inverse covariance matrix estimation for the global minimum variance portfolio. Master's Thesis, Department of Mathematics, UiO (with Ingrid G and Nils LH  as supervisors).
• Hellton, K.H. and Røislien, J. (2017). Verdens første p-verdi. Tidsskrift for Den norske legeforening, årg. 137, mai 2017.
• Cunen, C. (2017). Analysis of fat weights: Three new wide models. Reports of the Scientific Committee of the International Whaling Commision SC/67A/EM/08.
• Cunen, C. (2017). No paradox: Explaining how we can observe a decrease in fat weight, while the total weight appears to remain constant. Reports of the Scientific Committee of the International Whaling Commision SC/67A/EM/07.
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• Cunen, C., Walløe, L. and Hjort, N.L. (2017). Decline in energy storage in Antarctic Minke whales during the JARPA period: Assessment via the Focused Information Criterion (FIC). Reports of the Scientific Committee of the International Whaling Commision SC/67A/EM/04.
• Jullum, M. and Hjort, N.L. (2017). What price semiparametric Cox regression? Submitted for publication.
• Hjort, N.L. Donaldistisk realisme og realistisk Donaldisme. No, this is not a 2017 publication, but dates from 2010; I was recently asked to comment on some of its aspects and decided to place it here, as it's not easy to find. It's printed in Carl Barks Samlede Verk (The Carl Barks Collection), Vol. 2 (of 30).
• Hjort, N.L. (2017). Ut på tur: NordStat, København, juni 2016. FocuStat Blog Post, February 2017.
• Hjort, N.L. (2017). The semifinals factor for skiing fast in the finals. FocuStat Blog Post, February 2017.
• Hjort, N.L. (2017). But some are more equal than others. FocuStat Blog post, January 2017.
• Cunen, C. and Hjort, N.L. (2017). New statistical methods shed light on medieval literary mystery. FocuStat Blog Post, January 2017.

2016:

• Hellton, K.H. and Hjort, N.L. (2016). Fridge: focused fine-tuning of ridge regression for personalized prediction. Submitted for publication.
• Hjort, N.L. (2016). Rapport fra NordStat 2016, København 27.-30. juni. In Tilfeldig Gang, December 2016 issue, page 7-8.
• Ko, V. (2016). Met hartelijke groente. Nederlands door Koreanse ogen. Uitgeverij Podium, Amsterdam (175 pages). [No, FocuStat can't take any credit for this at all, but we feel Vinnie's book belongs on our publication list, nevertheless.]
• Cunen, C. and Hjort, N.L. (2016). Combining information across diverse sources: The II-CC-FF paradigm. Proceedings from the Joint Statistical Meeting 2016, the American Statistical Association, 138-153. The JSM took place in Chicago, July 29 to August 4, where Hjort was an invited speaker in the specially invited session ‘Bridging Bayesian/Frequentist/Fiducial Inference in the Era of Data Science’.
• Hellton, K.H. and Thoresen, M. (2016). Integrative clustering of high-dimensional data with joint and individual clusters. Biostatistics 17, 537-548.
• Glad, I.K. and Hjort, N.L. (2016). Model uncertainty first, not afterwards. Discussion contribution to the article "Approximate models and robust decisions" by J. Watson and C. Holmes. Statistical Science 31, 490-494.
• Jullum, M. and Hjort, N.L. (2016). Parametric or nonparametric: the FIC approach. Revised version of earlier paper (30 pages + 15 pages "supplementary material"); on its way to Statistica Sinica.
• Hjort, N.L. (2016). Recruitment Dynamics and Stock Variability: The Johan Hjort Symposium, some personal reflections. FocuStat Blog Post, April 2016.
• Schweder, T. and Hjort, N.L. (2016). Confidence, Likelihood, Probability. Statistical Inference with Confidence Distributions. Cambridge University Press.
• Hermansen, G., Hjort, N.L. and Kjesbu, O. (2016). Recent advances in statistical methodology applied to the Hjort liver index time series (1859-2012) and associated influential factors. Canadian Journal of Fisheries and Aquatic Sciences 73, 279-295. This is part of the special issue based on the Johan Hjort Symposium on Recruitment Dynamics and Stock Variability, Bergen, Norway, 7–9 October 2014. The link here is to the final journal version of the technical report version we list below. Certaines avancées récentes en méthodologie statistique présentent un potentiel intéressant d’utilisation en biologie générale et dans les sciences halieutiques! Før skal Hav og grommen Hval ham prise, Samt og Tanteyen, som løber Leyen, Steenbid og Seyen og Torsk og Skreyen! Og Niise!
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• Cunen, C., Hermansen, G. and Hjort, N.L. (2016). Confidence distributions for change-points and regime shifts. On its way to Journal of Statistical Planning and Inference.

2015:

• Cunen, C. (2015). The impact of philosophy of science: A citation analysis. Exam essay, Science, Ethics, Society PhD course mnses 9100, December 2015.
• Walker, S.-E. (2015). Noen etiske problemstillinger i forbindelse med håndtering og formidling av usikkerhet i miljøforskning. Exam essay, Science, Ethics, Society PhD course mnses 9100, December 2015.
• Moss, J. (2015). Cube Root Asymptotics. Master Thesis in statistics (supervisor: Nils LH), Department of Mathematics, University of Oslo.
• Hermansen, G., Hjort, N.L. and Jullum, M. (2015). Parametric or nonparametric: The FIC approach for time series. Technical report, Department of Mathematics, University of Oslo. [Extended and further developed 21-page version of a six-page story we've published in the ISI 2015 Rio de Janeiro proceedings.]
• Hellton, K.H. (2015). The bonus roll and the Christmas spirit. FocuStat Blog Post, December 2015.
• Jullum, M., Baños, D.R. and Hjort, N.L. (2015). To liv: kvinnene i Lillestrøm som ble født på samme dag og døde på samme dag. FocuStat Blog Post, October 2015.
• Hjort, N.L. (2015). Probability Calculus for Norwegian Footballers. FocuStat Blog Post, October 2015.
• Cunen, C. (2015). Mortality and Nobility in the Wars of the Roses and Game of Thrones. FocuStat Blog Post, October 2015.
• Hellton, K.H. (2015). Hvor stemmes det hva i hovedstaden? FocuStat Blog Post, September 2015.
• Hjort, N.L. (2015). Norway-Spain 28-25: How exciting was it? FocuStat Blog Post, September 2015.
• Stoltenberg, E.Aa. and Hjort, N.L. (2015). The c-loss function: Balancing total and individual risks in the simultaneous estimation of Poisson means. Proceedings of the 19th European Young Statisticians Meeting, September 2015, Prague, pp. 133-138.
• Hermansen, G.H., Hjort, N.L. and Kjesbu, O.S. (2015). Recent advances in statistical methodology applied to the Hjort liver index time series 1859-2012 and associated influential factors. Accepted for publication in the Canadian Journal of Fisheries and Aquatic Sciences (for their special issue related to the scientific legacy of Johan Hjort). [The Hjort time series in question concerns liver quality for the Atlantic cod (skrei, Gadus morhua). Its roots lie with the classic Hjort 1914 publication, then giving liver data for 1880 to 1913, one of the first ever published teleost time series. Various efforts of Kjesbu and co-authors have then led to an extended time series 1859 to 2012, ostensibly the longest series of marine science.]
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• Jullum, M. and Hjort, N.L. (2015). Parametric or nonparametric: The FIC approach. Submitted for publication with Statistica Sinica; revision invited.
• Jullum, M. and Kolbjørnsen, O. (2015). A Gaussian based framework for local Bayesian inversion of geophysical data to rock properties. Tentatively accepted for publication in Geophysics.
• Øygard, A.M. (2015). Measuring similarity of classified advertisements using images and text. Master Thesis in statistics (supervisor: Gudmund H and Nils LH), Department of Mathematics, University of Oslo.
• Stoltenberg, E. Aa. (2015). The c-Loss Function: Balancing Total and Individual Risk in the Simultaneous Estimation of Poisson Means. Master Thesis in statistics (supervisor: Nils LH), Department of Mathematics, University of Oslo.
• Vonnet, J. and Hermansen, G.H. (2015). Using predictive analytics to unlock unconventional plays. First Break 33, 87-92.
• Hermansen, G.H. and Hjort, N.L. (2015). Бернштейн-von Mises theorems for nonparametric function analysis via locally constant modelling: A unified approach. Journal of Statistical Planning and Inference 166, 138-157.
• Garcia-Magariños, M., Egeland, T., López-de-Ullibarri, Hjort, N.L. and Salas, A. (2015). A parametric approach to kinship hypothesis testing using identity-by-descent parameters. Statistical Applications in Genetics and Molecular Biology 14, 465-479.
• Cunen, C. and Hjort, N.L. (2015). Optimal inference via confidence distributions for two-by-two tables modelled as Poisson pairs: Fixed and random effects. [For the Rio 60th World Statistics Congress.]
• Hellton, K.G. and Thoresen, M. (2015). Consistency of principal component scores in visualizations of high-dimensional data. [For the Rio 60th World Statistics Congress.]
• Hermansen, G.H., Hjort, N.L. and Jullum, M. (2015). Parametric or nonparametric: The FIC approach for stationary time series. [For the Rio 60th World Statistics Congress.]
• Walker, S.E., Hermansen, G.H. and Hjort, N.L. (2015). Model selection and verification for ensemble based probabilistic forecasting of air pollution in Oslo, Norway. [For the Rio 60th World Statistics Congress.]
• Bjørvik, L.M., Dale, S., Hermansen, G.H., Munishi, P.K.T. and Moe, S.R. (2015). Bird flight initiation distances in relation to distance from human settlements in a Tanzanian floodplain. Journal of Ornithology, 156, 239-246.

2014:

• Hjort, N.L. (2014). Deilig er jorden. In Ad Fontes, festschrift for Terje Kvam, 101-103.
• Ko, V., Wieling, M., Wit, E., Nerbonne, J. and Krijnen, W. (2014). Social, geographical, and lexical influences on Dutch dialect pronunciations. Computational Linguistics in the Netherlands Journal, 4, 29-38.
• Østbye, P. (2014). Cost information-value trade-off in covariate selection. Master Thesis in statistics (supervisor: Nils LH), Department of Mathematics, University of Oslo.
• Jullum, M. and Hjort, N.L. (2014). What price semiparametric Cox regression? [Loss of effiency under parametric regression models; methods for letting the data tell us what's best. This will grow into a proper journal paper down the road.] Technical report, Department of Mathematics, University of Oslo.
• Hermansen, G.H. and Hjort, N.L.  (2014). Model Selection and Bayesian Nonparametrics for Time Series and Nonstandard Regression Models. (Doctoral dissertation, Department of Mathematics, University of Oslo.)
• Grønneberg, S. and Hjort, N.L. (2014). The Copula Information Criteria. Scandinavian Journal of Statistics, 41, 436-459. 
• Hjort, N.L. (2014). Discussion of Efron's "Estimation and accuracy after model selection". Journal of the American Statistical Association, 110, 1017-1020.
• Hellton, K.H. and Thoresen, M. (2014). The impact of measurement error on principal component analysis. Scandinavian Journal of Statistics, 41, 1051-1063.
• Hermansen, G.H. and Hjort, N.L. (2014). Bernstein-von Mises theorems for nonparametric function analysis via locally constant modelling: A unified approach. Accepted for publication in Journal of Statistical Planning and Inference (to appear in 2015).
• Hermansen, G.H. and Hjort, N.L. (2014). Focused information criteria for time series. Submitted for publication.
• Garcia-Magariños, M., Egeland, T., López-de-Ullibarri, Hjort, N.L. and Salas, A. (2014). A parametric approach to kinship hypothesis testing using identity-by-descent parameters. Technical report, submitted for publication.
• Walker, S.-E., Denby, B. R., Castell, N., Pross, B. & Cornford, D. (2014). Ensemble based probabilistic forecasting of air quality in Oslo and Rotterdam. Submitted for publication.
• Cunen, C. (2014). Three PLS-based methods for variable ranking and interaction detection. (Master thesis, Norwegian University of Life Sciences.)

2013:

• Løland, A., Huseby, R.B., Hjort, N.L. and Frigessi, A. (2013). Statistical Corrections of Invalid Correlation Matrices. Scandinavian Journal of Statistics, 40, 807-824.
• Schweder, T. and Hjort, N.L. (2013). Discussion of "Confidence distribution, the frequentist distribution estimator of a parameter: A review". International Statistical Review, 81, 56-68. See also full discussion and rejoinder.
• Vanem, E. and Walker, S.E. (2013). Identifying trends in the ocean wave climate by time series analyses of significant wave height data. Ocean Engineering, 61, 148-160.
• Walker, S.E., Denby, B., Pross, B. and Cornford, D. (2013) Validation of UncertWeb: Air quality forecasting. (Report, UncertWeb Consortium Deliverable 6.3. Birmingham. UncertWeb)

Books by Nils Lid Hjort:

• Schweder, T. and Hjort, N.L. (2016). Confidence, Likelihood, Probability: Statistical Inference With Confidence Distributions. Cambrige University Press, Cambridge.
• Hjort, N.L., Holmes, C., Müller, P. and Walker, S.G. (2010). Bayesian Nonparametrics. Cambridge University Press, Cambridge.
• G. Claeskens and Hjort, N.L. (2008). Model Selection and Model Averaging. Cambridge University Press, Cambridge.
• Green, P.J., Hjort, N.L. and Richardson, S. (2003). Highly Structured Stochastic Systems. Oxford University Press, Oxford.
• Rosa, D. (with Hjort, N.L. as editor and author of introduction chapter). The Pertwillaby Papers. Gazette Bok, Oslo.
• Rosa, D. (with Hjort, N.L. as editor). The Adventures of Captain Kentucky. Gazette Bok, Oslo.

Some Nils Classics from before 2013:

On popular demand I intend to place a collection of a subset of my earlier journal articles here, for ease and convenience. The links below are not always to the very final journal version, but perhaps to the technical report version. (This list is started February 2018.)

• Hjort, N.L., McKeague, I. and Van Keilegom, I. (2009). Extending the scope of empirical likelihood. Annals of Statistics, 37, 1079-1111.
• Hjort, N.L. and Walker, S.G. (2009). Quantile pyramids for Bayesian nonparametrics. Annals of Statistics, 37, 105-131.
• Hjort, N.L. and Petrone, S. (2007). Nonparametric quantile inference using Dirichlet processes. In Festschrift for Kjell Doksum, IMS Lecture Notes Series.
• Hjort, N.L. and Varin, C. (2007). ML, PL and QL for Markov chain models. Scandinavian Journal of Statistics, 35, 64-82.
• De Blasi, P. and Hjort, N.L. (2007). Bayesian survival analysis in proportional hazard models with logistic relative risk. Scandinavian Journal of Statistics, 34, 229-257.
• Claeskens, G. and Hjort, N.L. (2004). Goodness of fit via nonparametric likelihood ratios. Scandinavian Journal of Statistics, 31, 487-513.
• Glad, I., Hjort, N.L. and Ushakov, N. (2003). Correction of density estimators that are not densities. Scandinavian Journal of Statistics, 30, 415-427.
• Claeskens, G. and Hjort, N.L. (2003). The focused information criterion [with discussion contributions and a rejoinder]. Journal of the American Statistical Association, 98, 900-916.
• Hjort, N.L. and Claeskens, G. (2003). Frequentist model average estimators [with discussion contributions and a rejoinder]. Journal of the American Statistical Association, 98, 879-899.
• Schweder, T. and Hjort, N.L. (2002). Confidence and likelihood. Scandinavian Journal of Statistics 29, 309-332.
• Hjort, N.L. and Sørensen, Ø. (1998). Penger og verdisyn i Andeby [Money and value systems in Duckburg, a Barksistic idea-historic analysis]. ARR.
• Basu, A., Harris, I.R., Hjort, N.L. and Jones, M.C. (1998). Robust and efficient estimation by minimising a density power divergence. Biometrika 85, 549-559.
• Hjort, N.L. and Jones, M.C. (1996). Locally parametric nonparametric density estimation. Annals of Statistics, 24, 1619-1647.
• Hjort, N.L. and Glad, I.K. (1995). Nonparametric density estimation with a parametric start. Annals of Statistics, 23, 882-904.
• Hjort, N.L. (1994). Should the Olympic speedskaters run the 500 meter twice? Statistical Research Report, Department of Mathematics, University of Oslo. Part One and Part Two.
• Hjort, N.L. and Omre, H. (1994). Topics in spatial statistics [with discussion contributions and a rejoinder]. Scandinavian Journal of Statistics, 21, 289-357.
• Hjort, N.L. and Pollard, D. (1993). Asymptotics for minimisers of convex processes. Statistical Research Report, Department of Mathematics, University of Oslo.
• Hjort, N.L. (1992). On inference in parametric survival data models. Scandinavian Journal of Statistics, 355-387.
• Hjort, N.L. and Fenstad, G.U. (1992). On the last time and number of times an estimator is more than \(\varepsilon\) away from its target value. Annals of Statistics, 20, 469-489.
• Hjort, N.L. (1990). Nonparametric Bayes estimators based on Beta processes in models for life history data. Annals of Statistics, 18, 1259-1294.
• Hjort, N.L. (1990). Goodness-of-fit tests in models for life history data based on cumulative hazard rates. Annals of Statistics, 18, 1221-1258.
• Hjort, N.L. (1986). On the consistency of Bayes estimates. Annals of Statistics, 49-55.
• Hjort, N.L. (1986). Bayes estimators and asymptotic efficiency in parametric counting process models. Scandinavian Journal of Statistics, 13, 63-85.