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MULTILINEAR TENSOR REGRESSION FOR LONGITUDINAL RELATIONAL DATA

The annals of applied statistics, 2015-09, Vol.9 (3), p.1169-1193

Hoff, Peter D.

2015

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Structured Shrinkage Priors

Journal of computational and graphical statistics, 2024-01, Vol.33 (1), p.1-14

2024

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Simulation of the Matrix Bingham-von Mises-Fisher Distribution, With Applications to Multivariate and Relational Data

Journal of computational and graphical statistics, 2009-06, Vol.18 (2), p.438-456

Hoff, Peter D.

2009

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Tests of linear hypotheses using indirect information

Canadian journal of statistics, 2023-09, Vol.51 (3), p.852-876

2023

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Separable covariance arrays via the Tucker product, with applications to multivariate relational data

Bayesian analysis, 2011-01, Vol.6 (2)

Hoff, Peter D.

2011

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Hierarchical multilinear models for multiway data

Computational statistics & data analysis, 2011, Vol.55 (1), p.530-543

Hoff, Peter D.

2011

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Inferential Approaches for Network Analysis: AMEN for Latent Factor Models

Political analysis, 2019-04, Vol.27 (2), p.208-222

2019

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Bilinear Mixed-Effects Models for Dyadic Data

Journal of the American Statistical Association, 2005-03, Vol.100 (469), p.286-295

Hoff, Peter D

2005

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Testing and Modeling Dependencies Between a Network and Nodal Attributes

Journal of the American Statistical Association, 2015-09, Vol.110 (511), p.1047-1056

2015

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Testing Sparsity-Inducing Penalties

Journal of computational and graphical statistics, 2020-01, Vol.29 (1), p.128-139

2020

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Extending the Rank Likelihood for Semiparametric Copula Estimation

The annals of applied statistics, 2007-06, Vol.1 (1), p.265-283

Hoff, Peter D.

2007

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Optimal Conformal Prediction for Small Areas

Journal of survey statistics and methodology, 2024-03

2024

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Multiplicative latent factor models for description and prediction of social networks

Computational and mathematical organization theory, 2009-12, Vol.15 (4), p.261-272

Hoff, Peter D.

2009

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Smaller p-values in genomics studies using distilled auxiliary information

Biostatistics (Oxford, England), 2022-12, Vol.24 (1), p.193-208

2022

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Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood

Journal of computational and graphical statistics, 2012-12, Vol.21 (4), p.901-919

2012

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A new approach to analyzing coevolving longitudinal networks in international relations

Journal of peace research, 2016-05, Vol.53 (3), p.491-505

2016

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JOINT MEAN AND COVARIANCE MODELING OF MULTIPLE HEALTH OUTCOME MEASURES

The annals of applied statistics, 2019-03, Vol.13 (1), p.321-339

2019

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Limitations on detecting row covariance in the presence of column covariance

Journal of multivariate analysis, 2016-12, Vol.152, p.249-258

Hoff, Peter D.

2016

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Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models

Social networks, 2009-07, Vol.31 (3), p.204-213

2009

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Latent Space Approaches to Social Network Analysis

Journal of the American Statistical Association, 2002-12, Vol.97 (460), p.1090-1098

2002

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Testing for Nodal Dependence in Relational Data Matrices

Journal of the American Statistical Association, 2015-09, Vol.110 (511), p.1037-1046

2015

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Model Averaging and Dimension Selection for the Singular Value Decomposition

Journal of the American Statistical Association, 2007-06, Vol.102 (478), p.674-685

Hoff, Peter D

2007

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A First Course in Bayesian Statistical Methods

Hoff, Peter D

1. Aufl., 2009

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hierarchical eigenmodel for pooled covariance estimation

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2009-11, Vol.71 (5), p.971-992

Hoff, Peter D.

2009

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A MIXED EFFECTS MODEL FOR LONGITUDINAL RELATIONAL AND NETWORK DATA, WITH APPLICATIONS TO INTERNATIONAL TRADE AND CONFLICT

The annals of applied statistics, 2011-06, Vol.5 (2A), p.843-872

2011

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MULTILINEAR TENSOR REGRESSION FOR LONGITUDINAL RELATIONAL DATA

Structured Shrinkage Priors

Simulation of the Matrix Bingham-von Mises-Fisher Distribution, With Applications to Multivariate and Relational Data

Tests of linear hypotheses using indirect information

Separable covariance arrays via the Tucker product, with applications to multivariate relational data

Hierarchical multilinear models for multiway data

Inferential Approaches for Network Analysis: AMEN for Latent Factor Models

Bilinear Mixed-Effects Models for Dyadic Data

Testing and Modeling Dependencies Between a Network and Nodal Attributes

Testing Sparsity-Inducing Penalties

Extending the Rank Likelihood for Semiparametric Copula Estimation

Optimal Conformal Prediction for Small Areas

Multiplicative latent factor models for description and prediction of social networks

Smaller p-values in genomics studies using distilled auxiliary information

Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood

A new approach to analyzing coevolving longitudinal networks in international relations

JOINT MEAN AND COVARIANCE MODELING OF MULTIPLE HEALTH OUTCOME MEASURES

Limitations on detecting row covariance in the presence of column covariance

Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models

Latent Space Approaches to Social Network Analysis

Testing for Nodal Dependence in Relational Data Matrices

Model Averaging and Dimension Selection for the Singular Value Decomposition

A First Course in Bayesian Statistical Methods

hierarchical eigenmodel for pooled covariance estimation

A MIXED EFFECTS MODEL FOR LONGITUDINAL RELATIONAL AND NETWORK DATA, WITH APPLICATIONS TO INTERNATIONAL TRADE AND CONFLICT

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