V. Kejzlar, L. N., W. Nazarewicz & P.-G. Reinhard (2020). "Statistical aspects of nuclear mass models." *J. Phys. G*. [__journal__] [__arxiv__]

# Publications

You can also find my articles on __Google Scholar__ and __ResearchGate__.

**Computational statistics and nuclear physics**

L. N., Y. Cao, S.A. Giuliani, W. Nazarewicz, Erik Olsen & O.B. Tarasov (2020). "Quantified limits of the nuclear landscape." *Phys. Rev. C* 101(3), 044307. [__journal__] [__arxiv__]

L. N., Y. Cao, S.A. Giuliani, W. Nazarewicz, E. Olsen & O.B. Tarasov (2020). "Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei." *Phys. Rev. C* 101(1), 014319. [__journal__] [__arxiv__]

J. Arnetz, L.N., S. Sudan, T. Maiti, B. Arnetz & F. Viens (2020). "Nurse-reported bullying is associated with documented adverse patient events: an exploratory study in a U.S. hospital." *J. Nurs. Care Qual.* 35(3). [__journal__]

Y. Hao & L. N. (2019). "Application of Bayesian inference in accelerator commissioning of FRIB." *Proceedings of the 10th Int. Particle Accelerator Conf.* [__journal__]

Y. Hao, Y. Li, M. Balcewicz, L. N. & W. Cheng (2019). "Application of Bayesian inference in accelerator commissioning of FRIB." *Preprint.* [__arxiv__]

G. King, A. Lovell, L. N. & F. Nunes (2019). "Direct comparison between Bayesian and frequentist uncertainty quantification for nuclear reactions." *Phys. Rev. Lett.* 122(23), 232502. [__journal__] [__arxiv__]

V. Kejzlar, L. N., T. Maiti & F. Viens (2019). "Bayesian mixing of computer models: a nuclear physics perspective." *Preprint*. [__arxiv__]

L. N., Y. Cao, W. Nazarewicz, E. Olsen & F. Viens (2019). "Neutron dripline in the Ca region from Bayesian model averaging." *Phys. Rev. Lett.* 122(6), 062502. [__journal__] [__arxiv__]

L. N., Y. Cao, W. Nazarewicz & F. Viens (2018). "Bayesian approach to model-based extrapolation of nuclear observables." *Phys. Rev. C* 98(3), 034318. [__journal__] [__arxiv__]

**Stochastic processes and mathematical finance**

L. N. & P. Protter (2019). "Expansion of a filtration with a stochastic process: the information drift." *Preprint*. [__arxiv__]

L. N. (2017). "Expansion of a filtration with a stochastic process: a high-frequency trading perspective." *PhD Thesis, Columbia University*. [__journal__]