Search Results - "Lee, Ann B."

Refine Results
  1. 1

    A composite likelihood approach for inference under photometric redshift uncertainty by Rau, M M, Morrison, C B, Schmidt, S J, Wilson, S, Mandelbaum, R, Mao, Y-Y

    “…ABSTRACT Obtaining accurately calibrated redshift distributions of photometric samples is one of the great challenges in photometric surveys like LSST, Euclid,…”
    Get full text
    Journal Article
  2. 2

    Discovering genetic ancestry using spectral graph theory by Lee, Ann B., Luca, Diana, Klei, Lambertus, Devlin, Bernie, Roeder, Kathryn

    Published in Genetic epidemiology (01-01-2010)
    “…As one approach to uncovering the genetic underpinnings of complex disease, individuals are measured at a large number of genetic variants (usually SNPs)…”
    Get full text
    Journal Article
  3. 3

    An Optimal Transportation Approach for Nuclear Structure-Based Pathology by Wei Wang, Ozolek, J A, Slepčev, Dejan, Lee, Ann B, Cheng Chen, Rohde, G K

    Published in IEEE transactions on medical imaging (01-03-2011)
    “…Nuclear morphology and structure as visualized from histopathology microscopy images can yield important diagnostic clues in some benign and malignant tissue…”
    Get full text
    Journal Article
  4. 4

    The Nonlinear Statistics of High-Contrast Patches in Natural Images by Lee, Ann B, Pedersen, Kim S, Mumford, David

    Published in International journal of computer vision (01-08-2003)
    “…Issue Title: Special Issue on Computational Vision at Brown University Recently, there has been a great deal of interest in modeling the non-Gaussian…”
    Get full text
    Journal Article
  5. 5
  6. 6

    Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model by Lee, Ann B, Mumford, David, Huang, Jinggang

    Published in International journal of computer vision (01-01-2001)
    “…We develop a scale-invariant version of Matheron's "dead leaves model" for the statistics of natural images. The model takes occlusions into account and…”
    Get full text
    Journal Article
  7. 7

    ABC-CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations by Izbicki, Rafael, Lee, Ann B., Pospisil, Taylor

    “…Approximate Bayesian computation (ABC) is typically used when the likelihood is either unavailable or intractable but where data can be simulated under…”
    Get full text
    Journal Article
  8. 8

    Nonparametric Conditional Density Estimation in a High-Dimensional Regression Setting by Izbicki, Rafael, Lee, Ann B.

    “…In some applications (e.g., in cosmology and economics), the regression is not adequate to represent the association between a predictor x and a response Z…”
    Get full text
    Journal Article
  9. 9
  10. 10

    Non-Gaussianity in the weak lensing correlation function likelihood – implications for cosmological parameter biases by Lin, Chien-Hao, Harnois-Déraps, Joachim, Eifler, Tim, Pospisil, Taylor, Mandelbaum, Rachel, Lee, Ann B, Singh, Sukhdeep

    “…ABSTRACT We study the significance of non-Gaussianity in the likelihood of weak lensing shear two-point correlation functions, detecting significantly non-zero…”
    Get full text
    Journal Article
  11. 11
  12. 12

    Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones by McNeely, Trey, Lee, Ann B., Wood, Kimberly M., Hammerling, Dorit

    “…Tropical cyclones (TCs) rank among the most costly natural disasters in the United States, and accurate forecasts of track and intensity are critical for…”
    Get full text
    Journal Article
  13. 13

    A SPECTRAL GRAPH APPROACH TO DISCOVERING GENETIC ANCESTRY by Lee, Ann B., Luca, Diana, Roeder, Kathryn

    Published in The annals of applied statistics (01-03-2010)
    “…Mapping human genetic variation is fundamentally interesting in fields such as anthropology and forensic inference. At the same time, patterns of genetic…”
    Get full text
    Journal Article
  14. 14

    Diffusion maps and coarse-graining: a unified framework for dimensionality reduction, graph partitioning, and data set parameterization by Lafon, S., Lee, A.B.

    “…We provide evidence that nonlinear dimensionality reduction, clustering, and data set parameterization can be solved within one and the same framework. The…”
    Get full text
    Journal Article
  15. 15
  16. 16
  17. 17

    Upper-ocean changes with hurricane-strength wind events: a study using Argo profiles and an ocean reanalysis by Sala, Jacopo, Giglio, Donata, Hu, Addison, Kuusela, Mikael, Wood, Kimberly M, Lee, Ann B

    Published in Ocean science (05-11-2024)
    “…As the Earth's climate warms, the intensity and rain rate of tropical cyclones (TCs) is projected to increase. TCs intensify by extracting heat energy from the…”
    Get full text
    Journal Article
  18. 18

    Treelets: An Adaptive Multi-Scale Basis for Sparse Unordered Data by Lee, Ann B., Nadler, Boaz, Wasserman, Larry

    Published in The annals of applied statistics (01-06-2008)
    “…In many modem applications, including analysis of gene expression and text documents, the data are noisy, high-dimensional, and unordered-with no particular…”
    Get full text
    Journal Article
  19. 19

    Spatiotemporal methods for estimating subsurface ocean thermal response to tropical cyclones by Hu, Addison J, Kuusela, Mikael, Lee, Ann B, Giglio, Donata, Wood, Kimberly M

    “…Tropical cyclones (TCs), driven by heat exchange between the air and sea, pose a substantial risk to many communities around the world. Accurate…”
    Get full text
    Journal Article
  20. 20

    Spectral Connectivity Analysis by Lee, Ann B., Wasserman, Larry

    “…Spectral kernel methods are techniques for mapping data into a coordinate system that efficiently reveals the geometric structure-in particular, the…”
    Get full text
    Journal Article