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- SLAC National Accelerator LaboratoryUS74 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS43 papers
- Stanford Synchrotron Radiation LightsourceUS43 papers
- California Institute of TechnologyUS28 papers
- Massachusetts Institute of TechnologyUS23 papers
- Goddard Space Flight CenterUS19 papers
- University of WashingtonUS19 papers
- University of California, BerkeleyUS18 papers
- University of Maryland, College ParkUS18 papers
- The University of TokyoJP17 papers
- University of MichiganUS17 papers
- Menlo SchoolUS16 papers
83 papers · 1 filter
Information Percolation with Equilibrium Search Dynamics
Darrell Duffie, Semyon Malamud, Gustavo Manso
We solve for the equilibrium dynamics of information sharing in a large population. Each agent is endowed with signals regarding the likely outcome of a random variable of common c…
Asymptotics of solutions of the wave equation on de Sitter-Schwarzschild space
Richard Melrose, Antônio Sá Barreto, András Vasy
Solutions to the wave equation on de Sitter-Schwarzschild space with smooth initial data on a Cauchy surface are shown to decay exponentially to a constant at temporal infinity, wi…
Radiative transfer in black hole systems
Kinwah Wu, Warrick Ball, Steven V. Fuerst
We present a convariant formulation for radiative transfer in curved space time and demonstrate some applications in the black-hole systems. We calculate the emission from semi-tra…
Testing significance of features by lassoed principal components
Daniela M. Witten, Robert Tibshirani
We consider the problem of testing the significance of features in high-dimensional settings. In particular, we test for differentially-expressed genes in a microarray experiment.…
Predictive learning via rule ensembles
Jerome H. Friedman, Bogdan E. Popescu
General regression and classification models are constructed as linear combinations of simple rules derived from the data. Each rule consists of a conjunction of a small number of…
Horseshoes in multidimensional scaling and local kernel methods
Persi Diaconis, Sharad Goel, Susan Holmes
Classical multidimensional scaling (MDS) is a method for visualizing high-dimensional point clouds by mapping to low-dimensional Euclidean space. This mapping is defined in terms o…