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Snorre Jallbjørn, Søren Fiig Jarner, Niels Richard Hansen (2024). Forecasting, Interventions and Selection: The Benefits of a Causal Mortality Model. European Actuarial Journal, 14, 437-466.

Nikolaj Thams, Niels Richard Hansen (2024). Local Independence Testing for Point Processes. IEEE Transactions on Neural Networks and Learning Systems, 35(4), 4902-4910.

Philipp Dettling, Roser Homs, Carlos Améndola, Mathias Drton, Niels Richard Hansen (2023). Identifiability in Continuous Lyapunov Models. SIAM Journal on Matrix Analysis and Applications, 44(4).

Alexander Mangulad Christgau, Lasse Petersen, Niels Richard Hansen (2023). Nonparametric Conditional Local Independence Testing. The Annals of Statistics, 51(5), 2116-2144.

Søren Wengel Mogensen, Niels Richard Hansen (2022). Graphical modeling of stochastic processes driven by correlated noise. Bernoulli, 28(4), 3023–3050.

Adam Lund, Søren Wengel Mogensen, Niels Richard Hansen (2022). Soft Maximin Estimation for Heterogeneous Data. Scandinavian Journal of Statistics, 49(4), 1761-1790.

Jeffrey Adams, Niels Richard Hansen, Kun Zhang (2021). Identification of Partially Observed Causal Models: Graphical Conditions for the Linear Non-Gaussian and Heterogeneous Cases. NeurIPS 2021.

Lasse Petersen, Niels Richard Hansen (2021). Testing Conditional Independence via Quantile Regression Based Partial Copulas. Journal of Machine Learning Research, 22(70), 1–47.

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Gherardo Varando, Niels Richard Hansen (2020). Graphical continuous Lyapunov models. Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence, PMLR 124, 989-998.

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Søren Wengel Mogensen, Niels Richard Hansen (2020). Markov equivalence of marginalized local independence graphs. The Annals of Statistics, 48(1), 539–559.

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Adam Lund, Niels Richard Hansen (2019). Sparse Network Estimation for Dynamical Spatio-temporal Array Models. Journal of Multivariate Analysis, 174, Article 104532.

Niels Richard Hansen (2019). Computational Statistics with R. cswr.nrhstat.org.

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Niels Richard Hansen (2019). Causal structure learning for partially observed multivariate event processes. Oberwolfach Rep., 16, 1519-1521.

Søren Wengel Mogensen, Daniel Malinsky, Niels Richard Hansen (2018). Causal Learning for Partially Observed Stochastic Dynamical Systems. Proceedings of the 34th conference on Uncertainty in Artificial Intelligence, ID 142, 350-360.

Frederik Riis Mikkelsen and Niels Richard Hansen (2018). Degrees of Freedom for Piecewise Lipschitz Estimators. Annales de l’Institut Henri Poincaré (B) Probabilités et Statistiques, 54(2), 819-841.

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Niels Richard Hansen (2018). On Stein’s unbiased risk estimate for reduced rank estimators. Statistics & Probability Letters, 135, 76-82.

Constanze Pentzold, Shiraz Ali Shah, Niels Richard Hansen, Benoît Le Tallec, Andaine Seguin-Orlando, Michelle Debatisse, Michael Lisby, Vibe H. Oestergaard (2018). FANCD2 binding identifies conserved fragile sites at large transcribed genes in avian cells. Nucleic Acids Research, 46(3), 1280–1294.

Adam Lund, Martin Vincent, Niels Richard Hansen (2017). Penalized estimation in large-scale generalized linear array models. Journal of Computational and Graphical Statistics, 26(3), 709-724.

Søren Wengel Mogensen, Adam Lund, Niels Richard Hansen (2017). Sparse Maximin Aggregation of Neuronal Activity. Proceedings, SPARS 2017.

Frederik Riis Mikkelsen, Niels Richard Hansen (2017). Sparse Estimation in Ordinary Differential Equation Systems.. Proceedings, SPARS 2017.

Justin Guinney, et. al (2017). Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data. The Lancet Oncology, 18(1), 132-142.

Søren Wengel Mogensen, Anne H. Petersen, Ann-Sophie Buchardt, Niels Richard Hansen (2016). Survival prognosis and variable selection: A case study for metastatic castrate resistant prostate cancer patients. F1000Reseach 5:2680.

Alexander Sokol, Niels Richard Hansen (2015). Exponential Martingales and Changes of Measure for Counting Processes. Stochastic Analysis and Applications, 33(5), 823-843.

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Niels Richard Hansen (2015). Nonparametric likelihood based estimation of linear filters for point processes. Statistics and Computing, 25(3), 609-618.

Niels Richard Hansen, Patricia Reynaud-Bouret, Vincent Rivoirard (2015). Lasso and probabilistic inequalities for multivariate point processes. Bernoulli, 21(1), 83-143.

Katharina Perell, Martin Vincent, Ben Vainer, Bodil Laub Petersen, Birgitte Federspiel, Anne Kirstine Møller, Mette Madsen, Niels Richard Hansen, Lennart Friis-Hansen, Finn Cilius Nielsen, Gedske Daugaard (2015). Development and validation of a microRNA based diagnostic assay for primary tumor site classification of liver core biopsies. Molecular Oncology, 9(1), 68-77.

Niels Richard Hansen, Alexander Sokol (2014). Degrees of freedom for nonlinear least squares estimation. arXiv:1402.2997.

Alexander Sokol, Niels Richard Hansen (2014). Causal interpretation of stochastic differential equations. Electron. J. Probab., 19(100), 1-24.

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Martin Vincent, Katharina Perell, Finn Cilius Nielsen, Gedske Daugaard, Niels Richard Hansen (2014). Modeling tissue contamination to improve molecular identification of the primary tumor site of metastases. Bioinformatics, 30(10), 1417-1423.

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Martin Vincent, Niels Richard Hansen (2014). Sparse group lasso and high dimensional multinomial classification. Computational Statistics & Data Analysis, 71, 771-786.

Niels Richard Hansen (2013). Penalized maximum likelihood estimation for generalized linear point processes. arXiv:1003.0848.

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Niels Richard Hansen (2010). Probability Theory and Statistics: With a view towards the natural sciences. Lecture notes.

Lisbeth Carstensen, Albin Sandelin, Ole Winther, Niels Richard Hansen (2010). Multivariate Hawkes process models of the occurrence of regulatory elements. BMC Bioinformatics, 11:456.

Niels Richard Hansen (2009). The maximum of a Lévy process reflected at a general barrier. Stochastic Processes and Their Applications, 119(7), 2336-2356.

Niels Richard Hansen (2009). Statistical models for local occurrences of RNA-structures. Journal of Computational Biology, 16(6), 845-858.

Shiraz Ali Shah, Niels R. Hansen and Roger A. Garrett (2009). Distribution of CRISPR spacer matches in viruses and plasmids of crenarchaeal acidothermophiles and implications for their inhibitory mechanism. Biochemical Society Transactions, 37, 23-28.

Niels Richard Hansen (2007). Asymptotics for Local Maximal Stack Scores with General Loop Penalty Function. Advances in Applied Probability, 39(3), 776-798.

Niels Richard Hansen (2006). Local alignment of Markov chains. The Annals of Applied Probability, 16(3), 1262-1296.

Niels Richard Hansen (2006). Aspects of Algebraic Statistics: Prediction, algorithms, and geometry. Notes.

Niels Richard Hansen (2006). The maximum of a random walk reflected at a general barrier. The Annals of Applied Probability, 16(1), 15-29.

Niels Richard Hansen, Anders Tolver Jensen (2005). The extremal behavior over regenerative cycles for Markov additive processes with heavy tails. Stochastic process. Appl., 115(4), 579-591.

Niels Richard Hansen (2005). A note on stochastic context-free grammars, termination and the EM-algorithm. Preprint.

Niels Richard Hansen (2004). Bioinformatik - en statistisk disciplin. Matilde, 19, 7-8.

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Niels Richard Hansen (2003). Markov Controlled Excursions, Local Alignment and Structure. PhD thesis.

Niels Richard Hansen (2003). Geometric ergodicity of discrete time approximations to multivariate diffusions. Bernoulli, 9(4), 725-743.

Niels Richard Hansen and Ernst Hansen (2002). Establishing geometric drift via the Laplace transform of symmetric measures. Statistics & Probability Letters, 60(3), 289-295.

Søren Boel, Toke Meier Carlsen, Niels Richard Hansen (2001). A useful strengthening of the Stone-Weierstrass theorem. The American Mathematical Monthly 108(7), 642-643.