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1
Identifying causal effects with proxy variables of an unmeasured confounder
Identifying causal effects with proxy variables of an unmeasured confounder
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Identifying causal effects with proxy variables of an unmeasured confounder

Biometrika, 2018-12, Vol.105 (4), p.987-993 [Peer Reviewed Journal]

2018 Biometrika Trust ;2018 Biometrika Trust 2018 ;ISSN: 0006-3444 ;EISSN: 1464-3510 ;DOI: 10.1093/biomet/asy038 ;PMID: 33343006

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2
Variable selection - A review and recommendations for the practicing statistician
Variable selection - A review and recommendations for the practicing statistician
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Variable selection - A review and recommendations for the practicing statistician

Biometrical journal, 2018-05, Vol.60 (3), p.431 [Peer Reviewed Journal]

2017 The Authors. Biometrical Journal Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. ;EISSN: 1521-4036 ;DOI: 10.1002/bimj.201700067 ;PMID: 29292533

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3
A Coefficient of Determination for Generalized Linear Models
A Coefficient of Determination for Generalized Linear Models
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A Coefficient of Determination for Generalized Linear Models

The American statistician, 2017-10, Vol.71 (4), p.310-316 [Peer Reviewed Journal]

2017 American Statistical Association 2017 ;Copyright 2017 American Statistical Association ;2017 American Statistical Association ;ISSN: 0003-1305 ;EISSN: 1537-2731 ;DOI: 10.1080/00031305.2016.1256839

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4
Optimal Detection of Changepoints With a Linear Computational Cost
Optimal Detection of Changepoints With a Linear Computational Cost
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Optimal Detection of Changepoints With a Linear Computational Cost

Journal of the American Statistical Association, 2012-12, Vol.107 (500), p.1590-1598 [Peer Reviewed Journal]

Copyright Taylor & Francis Group, LLC 2012 ;2012 American Statistical Association ;Copyright Taylor & Francis Ltd. Dec 2012 ;ISSN: 1537-274X ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2012.737745 ;CODEN: JSTNAL

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5
What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?
What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?
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What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?

Computational statistics, 2021-09, Vol.36 (3), p.2009-2031 [Peer Reviewed Journal]

This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020 ;This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020. ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-020-00999-9

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6
Stability selection
Stability selection
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Stability selection

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2010-09, Vol.72 (4), p.417-473 [Peer Reviewed Journal]

2010 The Royal Statistical Society and Blackwell Publishing Ltd. ;2010 Royal Statistical Society ;2015 INIST-CNRS ;2010 The Royal Statistical Society and Blackwell Publishing Ltd ;ISSN: 1369-7412 ;EISSN: 1467-9868 ;DOI: 10.1111/j.1467-9868.2010.00740.x

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7
A PDE approach to a 2-dimensional matching problem
A PDE approach to a 2-dimensional matching problem
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A PDE approach to a 2-dimensional matching problem

Probability theory and related fields, 2019-02, Vol.173 (1-2), p.433-477 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Probability Theory and Related Fields is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0178-8051 ;EISSN: 1432-2064 ;DOI: 10.1007/s00440-018-0837-x

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8
Tuning parameter selection in high dimensional penalized likelihood
Tuning parameter selection in high dimensional penalized likelihood
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Tuning parameter selection in high dimensional penalized likelihood

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2013-06, Vol.75 (3), p.531-552 [Peer Reviewed Journal]

Copyright © 2013 The Royal Statistical Society and Blackwell Publishing Ltd. ;2012 Royal Statistical Society ;Copyright © 2012 The Royal Statistical Society and Blackwell Publishing Ltd ;ISSN: 1369-7412 ;EISSN: 1467-9868 ;DOI: 10.1111/rssb.12001

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9
Strictly and non-strictly positive definite functions on spheres
Strictly and non-strictly positive definite functions on spheres
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Strictly and non-strictly positive definite functions on spheres

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2013-09, Vol.19 (4), p.1327-1349 [Peer Reviewed Journal]

2013 International Statistical Institute/Bernoulli Society ;Copyright 2013 Bernoulli Society for Mathematical Statistics and Probability ;ISSN: 1350-7265 ;DOI: 10.3150/12-bejsp06

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10
Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension
Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension
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Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension

Journal of the American Statistical Association, 2012-03, Vol.107 (497), p.214-222 [Peer Reviewed Journal]

Copyright Taylor & Francis Group, LLC 2012 ;Copyright © 2012 American Statistical Association ;Copyright American Statistical Association Mar 2012 ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2012.656014 ;PMID: 23082036 ;CODEN: JSTNAL

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11
Multivariate Bernoulli distribution
Multivariate Bernoulli distribution
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Multivariate Bernoulli distribution

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2013-09, Vol.19 (4), p.1465-1483 [Peer Reviewed Journal]

2013 International Statistical Institute/Bernoulli Society ;Copyright 2013 Bernoulli Society for Mathematical Statistics and Probability ;ISSN: 1350-7265 ;DOI: 10.3150/12-BEJSP10

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12
Collinearity diagnostic applied in ridge estimation through the variance inflation factor
Collinearity diagnostic applied in ridge estimation through the variance inflation factor
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Collinearity diagnostic applied in ridge estimation through the variance inflation factor

Journal of applied statistics, 2016-07, Vol.43 (10), p.1831-1849 [Peer Reviewed Journal]

2016 Taylor & Francis 2016 ;2016 Taylor & Francis ;ISSN: 0266-4763 ;EISSN: 1360-0532 ;DOI: 10.1080/02664763.2015.1120712

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13
INTERSECTION BOUNDS: ESTIMATION AND INFERENCE
INTERSECTION BOUNDS: ESTIMATION AND INFERENCE
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INTERSECTION BOUNDS: ESTIMATION AND INFERENCE

Econometrica, 2013-03, Vol.81 (2), p.667-737 [Peer Reviewed Journal]

Copyright ©2013 The Econometric Society ;2013 The Econometric Society ;Copyright Blackwell Publishing Ltd. Mar 2013 ;ISSN: 0012-9682 ;EISSN: 1468-0262 ;DOI: 10.3982/ECTA8718 ;CODEN: ECMTA7

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14
Random-walk in Beta-distributed random environment
Random-walk in Beta-distributed random environment
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Random-walk in Beta-distributed random environment

Probability theory and related fields, 2017-04, Vol.167 (3-4), p.1057-1116 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2016 ;Probability Theory and Related Fields is a copyright of Springer, 2017. ;Springer-Verlag Berlin Heidelberg 2016. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0178-8051 ;EISSN: 1432-2064 ;DOI: 10.1007/s00440-016-0699-z ;CODEN: PTRFEU

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15
The distribution of overlaps between eigenvectors of Ginibre matrices
The distribution of overlaps between eigenvectors of Ginibre matrices
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The distribution of overlaps between eigenvectors of Ginibre matrices

Probability theory and related fields, 2020-06, Vol.177 (1-2), p.397-464 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Springer-Verlag GmbH Germany, part of Springer Nature 2019. ;ISSN: 0178-8051 ;EISSN: 1432-2064 ;DOI: 10.1007/s00440-019-00953-x

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16
Coefficients of Determination in Logistic Regression Models-A New Proposal: The Coefficient of Discrimination
Coefficients of Determination in Logistic Regression Models-A New Proposal: The Coefficient of Discrimination
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Coefficients of Determination in Logistic Regression Models-A New Proposal: The Coefficient of Discrimination

The American statistician, 2009-11, Vol.63 (4), p.366-372 [Peer Reviewed Journal]

2009 American Statistical Association 2009 ;Copyright 2009 American Statistical Association ;2009 INIST-CNRS ;Copyright American Statistical Association Nov 2009 ;ISSN: 0003-1305 ;EISSN: 1537-2731 ;DOI: 10.1198/tast.2009.08210 ;CODEN: ASTAAJ

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17
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction
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Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction

Journal of the American Statistical Association, 2024, Vol.119 (545), p.343-355 [Peer Reviewed Journal]

2022 American Statistical Association 2022 ;2022 American Statistical Association ;ISSN: 0162-1459 ;EISSN: 1537-274X ;DOI: 10.1080/01621459.2022.2118601

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18
full scale approximation of covariance functions for large spatial data sets
full scale approximation of covariance functions for large spatial data sets
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full scale approximation of covariance functions for large spatial data sets

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2012-01, Vol.74 (1), p.111-132 [Peer Reviewed Journal]

Copyright © 2012 The Royal Statistical Society and Blackwell Publishing Ltd. ;2011 Royal Statistical Society ;ISSN: 1369-7412 ;EISSN: 1467-9868 ;DOI: 10.1111/j.1467-9868.2011.01007.x

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19
On the power of Chatterjee’s rank correlation
On the power of Chatterjee’s rank correlation
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On the power of Chatterjee’s rank correlation

Biometrika, 2022-06, Vol.109 (2), p.317-333 [Peer Reviewed Journal]

The Author(s) 2021. Published by Oxford University Press on behalf of the Biometrika Trust. All rights reserved. For permissions, please email: journals.permissions@oup.com 2021 ;The Author(s) 2021. Published by Oxford University Press on behalf of the Biometrika Trust. All rights reserved. For permissions, please email: journals.permissions@oup.com ;ISSN: 0006-3444 ;EISSN: 1464-3510 ;DOI: 10.1093/biomet/asab028

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20
VARIABLE SELECTION FOR SPARSE DIRICHLET-MULTINOMIAL REGRESSION WITH AN APPLICATION TO MICROBIOME DATA ANALYSIS
VARIABLE SELECTION FOR SPARSE DIRICHLET-MULTINOMIAL REGRESSION WITH AN APPLICATION TO MICROBIOME DATA ANALYSIS
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VARIABLE SELECTION FOR SPARSE DIRICHLET-MULTINOMIAL REGRESSION WITH AN APPLICATION TO MICROBIOME DATA ANALYSIS

The annals of applied statistics, 2013-03, Vol.7 (1), p.418-442 [Peer Reviewed Journal]

Copyright © 2013 Institute of Mathematical Statistics ;Copyright 2013 Institute of Mathematical Statistics ;ISSN: 1932-6157 ;EISSN: 1941-7330 ;DOI: 10.1214/12-AOAS592 ;PMID: 24312162

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