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A Tutorial on Bayesian Nonparametric Models

Statistics – Machine Learning
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A two-component model for the large-scale structure of the universe

Statistics – Computation
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A two-component model of the gravitational field of the Galaxy

Statistics – Computation
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A two-density neutron star model with continuity of density

Statistics – Computation
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A two-dimensional brightness distribution of the visible zodiacal light.

Statistics – Methodology
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A two-dimensional hydrodynamic code for astrophysical flows.

Statistics – Computation
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A two-dimensional technique for frequency-wavenumber estimation

Statistics – Computation
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A two-dimensional, high-resolution, nested-grid model of the thermosphere. I - Neutral response to an electric field 'spike'

Statistics – Computation
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A two-dimensional, high-resolution, nested-grid model of the thermosphere. II - Response of the thermosphere to narrow and broad electrodynamic features

Statistics – Computation
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A two-phase model for the X-ray emission from Seyfert galaxies

Statistics – Computation
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A two-spot albedo model for the surface of Pluto

Statistics – Computation
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A Two-Stage Dimension Reduction Method for Induced Responses and Its Applications

Statistics – Methodology
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A Two-Step Composite Likelihood Approach with Data Fusion for Max-Stable Processes in Spatial Extremes Modelling

Statistics – Methodology
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A Two-Step Lag-Profile-Based Approach to the Inversion of the Incoherent Scatter Radar Data

Statistics – Computation
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A unified formula for mass-loss rate of O to M stars

Statistics – Computation
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A unified presentation of the Voigt functions

Statistics – Computation
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A Unified State Model of Orbital Trajectory and Attitude Dynamics

Statistics – Computation
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A unified treatment of polarized light emerging from a homogeneous plane-parallel atmosphere

Statistics – Computation
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A unifying view for performance measures in multi-class prediction

Statistics – Machine Learning
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A Unifying View of Multiple Kernel Learning

Statistics – Machine Learning
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