In: Biostatistics, 2017, vol. 18, no. 4, p. 618-636
|
In: Bioinformatics, 2018, vol. 34, no. 17, p. i647-i655
|
In: Statistics and Computing, 2015, vol. 25, no. 1, p. 113-125
|
In: Systematic Biology, 2016, vol. 65, no. 3, p. 417-431
|
In: Statistics and Computing, 2015, vol. 25, no. 1, p. 93-94
|
In: Bioinformatics, 2017, vol. 33, no. 5, p. 669-676
|
Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020ECO011.
These last decades have witnessed an explosion of data collection and diffusion in all fields of human society. In many scientific fields researchers are becoming aware of a big data problem and of the need to manage it properly, combining the tools offered by statistics, computer, data science and informatics. This is particularly true for geo-located data, which can be collected in a...
|
Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020ECO008.
My doctoral thesis examines the relationships among the degree of financial market integration and the pricing of different classes of assets. The first chapter provides a theoretical framework that uncovers in a model-free way the relationship between international stochastic discount factors (SDFs), stochastic wedges, and financial market structures. Exchange rates are in general different...
|
In: Journal of Glaciology, 2020, vol. 66, no. 255, p. 137–152
Accurate estimations of ice thickness and volume are indispensable for ice flow modelling, hydrological forecasts and sea-level rise projections. We present a new ice thickness estimation model based on a mass-conserving forward model and a Bayesian inversion scheme. The forward model calculates flux in an elevation-band flow-line model, and translates this into ice thickness and surface ice...
|
In: Applied Physics B, 2014, vol. 117, no. 3, p. 935-939
|