Ann B. Lee

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Statistics, models and learning in BCM theory of a natural visual environment

Ann B. Lee, 2002 .

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Kim Steenstrup Pedersen, David Mumford, Ann B. Lee, 2003, International Journal of Computer Vision.

Diffusion maps and coarse-graining: a unified framework for dimensionality reduction, graph partitioning, and data set parameterization

Ann B. Lee, Stéphane Lafon, S. Lafon, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones

Dorit Hammerling, Ann B. Lee, Trey McNeely, 2019 .

An Optimal Transportation Approach for Nuclear Structure-Based Pathology

Gustavo K. Rohde, Ann B. Lee, Wei Wang, 2011, IEEE Transactions on Medical Imaging.

RFCDE: Random Forests for Conditional Density Estimation pdf

Ann B. Lee, Taylor Pospisil, 2018, ArXiv.

Detecting and Classifying Cancers from Image Data Using Optimal Transportation

Gustavo K. Rohde, Ann B. Lee, Wei Wang, 2010 .

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

David Mumford, Ann B. Lee, Jinggang Huang, 2004, International Journal of Computer Vision.

Wildfire Smoke and Air Quality: How Machine Learning Can Guide Forest Management.

Ann B. Lee, Lorenzo Tomaselli, Coty Jen, 2020 .

Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations

Rafael Izbicki, Ann B. Lee, Taylor Pospisil, 2019, AISTATS.

Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data

Ann B. Lee, Boaz Nadler, 2007, AISTATS.

Treelets--An adaptive multi-scale basis for sparse unordered data

Ann B. Lee, Boaz Nadler, Larry Wasserman, 2007, 0707.0481.

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Ann B. Lee, Rafael Izbicki, Taylor Pospisil, 2018, Journal of Computational and Graphical Statistics.

Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting pdf

Ann B. Lee, Rafael Izbicki, Niccolo Dalmasso, 2020, ICML.

Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference

Rafael Izbicki, Ann B. Lee, Alex I. Malz, 2019 .

Astrostatistics: The final frontier

Chad M. Schafer, Ann B. Lee, Joseph W. Richards, 2008 .

HECT: High-Dimensional Ensemble Consistency Testing for Climate Models

Dorit Hammerling, Ann B. Lee, Niccolo Dalmasso, 2020, 2010.04051.

Rejoinder of: Treelets—An adaptive multi-scale basis for spare unordered data

Ann B. Lee, Boaz Nadler, Larry Wasserman, 2008 .

Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning pdf

Ann B. Lee, Trey McNeely, Kimberly M. Wood, 2020, ArXiv.

Detection of Non-Regular Galaxies at High Redshift

Ann B. Lee, Rafael Izbicki, Jeffrey Newman, 2012 .

Statistics of range images

David Mumford, Ann B. Lee, Jinggang Huang, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Toward a Full Probability Model of Edges in Natural Images

Kim Steenstrup Pedersen, Ann B. Lee, K. S. Pedersen, 2002, ECCV.

Diagnostics for conditional density models and Bayesian inference algorithms

Rafael Izbicki, Ann B. Lee, Niccolo Dalmasso, 2021, UAI.

Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification pdf

Rafael Izbicki, Ann B. Lee, Niccolo Dalmasso, 2021, ArXiv.

Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones pdf

Rafael Izbicki, Ann B. Lee, Trey McNeely, 2021, ArXiv.

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, 2003 .

Occlusion Models for Natural Images : A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Accurate parameter estimation for star formation history in galaxies using SDSS spectra

Ann B. Lee, J. Richards, P. Freeman, 2009, 0905.4683.

The Complex Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, K. S. Pedersen, D. Mumford, 2001 .

An Occlusion Model Generating Scale-Invariant Images

Ann B. Lee, 1999 .

Spectral Connectivity Analysis

Larry Wasserman, Ann B. Lee, L. Wasserman, 2008, 0811.0121.

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, D. Mumford, Jinggang Huang, 2004, International Journal of Computer Vision.

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Occlusion Models for Natural Images : A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

On the use of general control samples for genome-wide association studies: genetic matching highlights causal variants.

Ann B. Lee, C. Gieger, K. Roeder, 2008, American journal of human genetics.

Discovering genetic ancestry using spectral graph theory

Ann B. Lee, K. Roeder, L. Klei, 2009, Genetic epidemiology.

EXPLOITING LOW-DIMENSIONAL STRUCTURE IN ASTRONOMICAL SPECTRA

Ann B. Lee, J. Richards, P. Freeman, 2008, 0807.2900.

A Spectral Series Approach to High-Dimensional Nonparametric Regression

Ann B. Lee, Rafael Izbicki, 2016, 1602.00355.

Nonparametric Conditional Density Estimation in a High-Dimensional Regression Setting

Ann B. Lee, Rafael Izbicki, 2016, 1604.00540.

Using Dimension Reduction Techniques to Model Genetic Relationships for Association Studies Thesis Proposal for

Ann B. Lee, A. Rinaldo, B. Devlin, 2010 .

Global and local two-sample tests via regression

Ann B. Lee, Jing Lei, I. Kim, 2018, Electronic Journal of Statistics.

(f)RFCDE: Random Forests for Conditional Density Estimation and Functional Data

Ann B. Lee, Taylor Pospisil, T. Pospisil, 2019, 1906.07177.

High-Dimensional Density Estimation via SCA: An Example in the Modelling of Hurricane Tracks ✩

Chad M. Schafer, Ann B. Lee, C. Schafer, 2009, 0907.0199.

Photo-z Estimation: An Example of Nonparametric Conditional Density Estimation under Selection Bias

Ann B. Lee, Rafael Izbicki, Peter E. Freeman, 2016, 1604.01339.

Statistics of LGN activity determine the segregation of ON / OFF subfields for simple cells in cortex

Ann B. Lee, L. Cooper, H. Shouval, 1999 .

Prototype selection for parameter estimation in complex models

Chad M. Schafer, Ann B. Lee, Peter E. Freeman, 2011, 1105.6344.

Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation

Rafael Izbicki, Ann B. Lee, Rafael Izbicki, 2017, 1704.08095.

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, 2003 .

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, 2003 .

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, 2003 .

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, 2003 .

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, 2003 .

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, 2003 .

Exploiting Non-Linear Structure in Astronomical Data for Improved Statistical Inference

Ann B. Lee, P. Freeman, 2011, 1111.0911.

Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm

Ann B. Lee, T. Dorigo, Mikael Kuusela, 2022, ArXiv.

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Calibrated Predictive Distributions via Diagnostics for Conditional Coverage

Ann B. Lee, B. Andrews, J. Newman, 2022, ArXiv.

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, 2003 .

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, 2003 .

A spectral series approach to high-dimensional nonparametric regression

Ann B. Lee, 2016 .

Structural Forecasting for Short-term Tropical Cyclone Intensity Guidance

Ann B. Lee, Kimberly M. Wood, Niccolò Dalmasso, 2022, 2206.00067.

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model

Ann B. Lee, 2001 .

Calibrated Predictive Distributions via Diagnostics for Conditional Coverage

Ann B. Lee, B. Andrews, J. Newman, 2022, ArXiv.

Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems

Ann B. Lee, T. Dorigo, Mikael Kuusela, 2022, AISTATS.

Statistics of Range Images The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters

Ann B. Lee, Jinggang Huang, D. Mumford, 2000 .

Most genetic risk for autism resides with common variation

Kathryn Roeder, Ann B. Lee, Stephan Ripke, 2014, Nature Genetics.

High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation

Rafael Izbicki, Chad Schafer, Ann B. Lee, 2014, AISTATS.

Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones

Ann B. Lee, Kimberly M. Wood, D. Hammerling, 2019, Journal of Applied Meteorology and Climatology.

REFINING GENETICALLY INFERRED RELATIONSHIPS USING TREELET COVARIANCE SMOOTHING.

Kathryn Roeder, Ann B. Lee, Bernie Devlin, 2012, The annals of applied statistics.

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

Ann B. Lee, P. Freeman, A. Malz, 2019, Astron. Comput..

Development of Receptive Field Structure of Simple Cell using Spike Timing Dependent Plasticity (STDP)

Ann B. Lee, Qingbo Wang, Xin Wang, 2012 .

Likelihood-Free Frequentist Inference: Confidence Sets with Correct Conditional Coverage

Ann B. Lee, Rafael Izbicki, Niccolò Dalmasso, 2021, 2107.03920.

Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification

Ann B. Lee, David Y. Zhao, Rafael Izbicki, 2021, ArXiv.

Spatio-temporal methods for estimating subsurface ocean thermal response to tropical cyclones

Ann B. Lee, Kimberly M. Wood, Mikael Kuusela, 2020, 2012.15130.

Motion of ‘‘hot’’ oxygen adatoms on corrugated metal surfaces

Ann B. Lee, G. Wahnström, J. Strömquist, 1996 .

A SPECTRAL GRAPH APPROACH TO DISCOVERING GENETIC ANCESTRY.

Kathryn Roeder, Ann B. Lee, Ann B Lee, 2009, The annals of applied statistics.

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Ann B. Lee, A. Connolly, P. Freeman, 2020, Monthly Notices of the Royal Astronomical Society.

Non-Gaussianity in the weak lensing correlation function likelihood – implications for cosmological parameter biases

Ann B. Lee, R. Mandelbaum, T. Eifler, 2019, Monthly Notices of the Royal Astronomical Society.

The Nonlinear Statistics of High-Contrast Patches in Natural Images

Ann B. Lee, ANN B. LEE, 2003 .

Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps.

Ann B. Lee, R R Coifman, S Lafon, 2005, Proceedings of the National Academy of Sciences of the United States of America.

Conditionally Calibrated Predictive Distributions by Probability-Probability Map: Application to Galaxy Redshift Estimation and Probabilistic Forecasting

Ann B. Lee, B. Andrews, J. Newman, 2022, 2205.14568.

Structural Forecasting for Short-term Tropical Cyclone Intensity Guidance

Ann B. Lee, Kimberly M. Wood, Niccolò Dalmasso, 2022, Weather and forecasting.

Detecting distributional differences in labeled sequence data with application to tropical cyclone satellite imagery

Ann B. Lee, Kimberly M. Wood, Rafael Izbicki, 2022, The Annals of Applied Statistics.

Quantifying the Spatial Structure of Tropical Cyclone Imagery

Ann B. Lee, Kimberly M. Wood, D. Hammerling, 2019 .

Likelihood-Free Frequentist Inference: Conﬁdence Sets with Correct Conditional Coverage Finite-sample conﬁdence sets for known test statistic sets in a likelihood-free inference setting Diagnostics for HEP example with nuisance parameters

Ann B. Lee, Rafael Izbicki, Niccolò Dalmasso, 2022 .

Validating Conditional Density Models and Bayesian Inference Algorithms

Ann B. Lee, David Y. Zhao, Rafael Izbicki, 2021 .

Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression

Ann B. Lee, B. Andrews, J. Newman, 2021, ArXiv.

Spatio-temporal methods for estimating subsurface ocean thermal response to tropical cyclones

Ann B. Lee, Kimberly M. Wood, Mikael Kuusela, 2020, 2012.15130.

Geometric diffusions as a tool for harmonic analysis and structure definition of data: multiscale methods.

Ann B. Lee, R R Coifman, S Lafon, 2005, Proceedings of the National Academy of Sciences of the United States of America.