Christopher R. Genovese

发表

Generalized Mode and Ridge Estimation pdf

Larry A. Wasserman, Yen-Chi Chen, Christopher R. Genovese, 2014, ArXiv.

Density Level Sets: Asymptotics, Inference, and Visualization

Yen-Chi Chen, Christopher R. Genovese, Larry Wasserman, 2015, 1504.05438.

Manifold Estimation and Singular Deconvolution Under Hausdorff Loss pdf

Larry A. Wasserman, Christopher R. Genovese, Marco Perone-Pacifico, 2011, ArXiv.

Minimax Manifold Estimation

Larry A. Wasserman, Christopher R. Genovese, Marco Perone-Pacifico, 2010, J. Mach. Learn. Res..

A Bayesian Time-Course Model for Functional Magnetic Resonance Imaging Data

Christopher R. Genovese, C. Genovese, 2000 .

Non‐parametric inference for density modes pdf

Larry A. Wasserman, Christopher R. Genovese, Marco Perone-Pacifico, 2013, ArXiv.

Optimal Ridge Detection using Coverage Risk

Larry A. Wasserman, Yen-Chi Chen, Christopher R. Genovese, 2015, NIPS.

Statistical Inference in Functional Magnetic Resonance Imaging

Christopher R. Genovese, 1997 .

Functional magnetic resonance imaging dataset analysis

Douglas C. Noll, Christopher R. Genovese, Jonathan D. Cohen, 1999 .

A comparison of linear and nonlinear statistical techniques in performance attribution

Christopher R. Genovese, Ngai Hang Chan, C. Genovese, 2001, IEEE Trans. Neural Networks.

Active Learning For Identifying Function Threshold Boundaries

Larry A. Wasserman, Christopher R. Genovese, Jeff G. Schneider, 2005, NIPS.

New procedures for false discovery control

Christopher R. Genovese, Elisha Merriam, C. Genovese, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Nonparametric Ridge Estimation pdf

Larry A. Wasserman, Christopher R. Genovese, Marco Perone-Pacifico, 2012, ArXiv.

The Challenge of Functional Magnetic Resonance Imaging

Audris Mockus, Christopher R. Genovese, William F. Eddy, 1999 .

Uncertainty Measures and Limiting Distributions for Filament Estimation pdf

Larry A. Wasserman, Yen-Chi Chen, Christopher R. Genovese, 2013, ArXiv.

Introduction to the Special Section on Astrostatistics

Christopher R. Genovese, George Casella, Larry Wasserman, 2004 .

A Comparison of the Lasso and Marginal Regression

Larry A. Wasserman, Zhigang Yao, Christopher R. Genovese, 2012, J. Mach. Learn. Res..

Bayesian Frequentist Multiple Testing

Christopher R. Genovese, Larry Wasserman, L. Wasserman, 2002 .

Industrial strength parallel computing

Douglas C. Noll, Christopher R. Genovese, Nigel Goddard, 2000 .

Threshold determination using the false discovery rate

Thomas E. Nichols, Christopher R. Genovese, Nicole A. Lazar, 2001, NeuroImage.

Online Analysis of Functional MRI Datasets on Parallel Platforms

Douglas C. Noll, Christopher R. Genovese, Jonathan D. Cohen, 1997, The Journal of Supercomputing.

Markov Chain Monte Carlo Methods for Bayesian Analysis

Christopher R. Genovese, Joseph B. Kadane, Robert H. Swendsen, 1997 .

Expanding the scope of statistical computing: Training statisticians to be software engineers.

Christopher R. Genovese, Alex Reinhart, 2019 .

Teaching Statistical Concepts and Modern Data Analysis With a Computing-Integrated Learning Environment

Rebecca Nugent, Christopher R. Genovese, Philipp Burckhardt, 2020 .

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing

Christopher R. Genovese, 2006 .

Functional Connectivity in the Cortical Circuits Subserving Eye Movements

Christopher R. Genovese, John A. Sweeney, C. Genovese, 1999 .

A Stochastic Process Approach to False Discovery Rates

Christopher R. Genovese, Larry Wasserman, L. Wasserman, 2003 .

Estimation of Correlations in Large Samples

Andrew W. Moore, Alexander S. Szalay, Simon Prunet, 2001 .

Cosmic web reconstruction through density ridges: method and algorithm

Christopher R. Genovese, Shirley Ho, Peter E. Freeman, 2015, 1501.05303.

Scan clustering: A false discovery approach

Christopher R. Genovese, Larry Wasserman, Isabella Verdinelli, 2007 .

Confidence sets for nonparametric wavelet regression

Christopher R. Genovese, Larry Wasserman, L. Wasserman, 2005, math/0505632.

Asymptotic theory for density ridges

Christopher R. Genovese, Larry Wasserman, Yen-Chi Chen, 2014, 1406.5663.

A New Source Detection Algorithm Using the False-Discovery Rate

Christopher R. Genovese, Larry Wasserman, Robert C. Nichol, 2001, astro-ph/0110570.

Conditional Density Estimation using Finite Mixture Models with an Application to Astrophysics

Christopher R. Genovese, Christopher J. Miller, Alex L. Rojas, 2005 .

A Nonparametric Analysis of the Cosmic Microwave Background Power Spectrum

Christopher R. Genovese, Larry Wasserman, Robert C. Nichol, 2002 .

Enhanced Mode Clustering

Christopher R. Genovese, Larry Wasserman, Yen-Chi Chen, 2014 .

Operating Characteristics and Extensions of the FDR Procedure

Christopher R. Genovese, Larry Wasserman, L. Wasserman, 2001 .

A Bayesian Time-Course Model for Functional Magnetic Resonance Imaging Data: Rejoinder

Christopher R. Genovese, 2000 .

Nonparametric Confidence Sets for Density

Christopher R. Genovese, Larry Wasserman, Woncheol Jang, 2004 .

Adaptive confidence bands

Christopher R. Genovese, Larry Wasserman, 2007 .

Revealing components of the galaxy population through non-parametric techniques

Christopher R. Genovese, Robert C. Nichol, Christopher J. Miller, 2008, 0809.2800.