Analysis of the 2004 Venezuela Referendum: the Official Results versus the Petition Signatures |
Gustavo Andres Delfino, and Guillermo Alejandro Salas
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The MM Alternative to EM |
Tong Tong Wu, and Kenneth Lange
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The EM Algorithm in Genetics, Genomics and Public Health |
Nan M Laird
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A conversation with Martin Bradbury Wilk |
Christian Genest and Gordon Brackstone
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Reversing the Stein Effect |
Michael David Perlman and Sanjay Chaudhuri
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Learning Active Basis Models by EM-Type Algorithms |
Zhangzhang Si, Haifeng Gong, Song-Chun Zhu, and Yingnian Wu
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A Conversation with James Hannan |
Dennis Gilliland and R. V. Ramamoorthi
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A Conversation with George Tiao |
Daniel Pena and Ruey Tsay
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The 2004 Venezuelan presidential recall referendum: Discrepancies between exit polls and official results |
Raquel Prado and Bruno Sansó
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Quick anomaly detection by the Newcomb-Benford Law, with applications to electoral processes data from the USA, Puerto Rico and Venezuela |
Luis Raul Pericchi and David A Torres
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A Conversation with George Roussas |
Francisco J. Samaniego and Debasis Bhattacharya
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A random walk with drift: Interview with Peter J. Bickel |
Ya'acov Ritov
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The Future of Indirect Evidence |
Bradley Efron
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Cross-Fertilizing Strategies for BetterEM Mountain Climbing and DA Field Exploration: A Graphical Guide Book |
David A van Dyk and Xiao-Li Meng
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The EM Algorithm and the Rise of Computational Biology |
Xiaodan Fan, Yuan Yuan, and Jun Liu
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Matching Methods for Causal Inference: A review and a look forward |
Elizabeth Anne Stuart
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Bayesian Models and Decision Algorithms for Complex Early Phase Clinical Trials |
Peter Francis Thall
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On the Bias of IV Estimators for Mendelian Randomisation |
Vanessa Didelez, Nuala Sheehan, and Sha Meng
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Approximate Dynamic Programming and its Applications to the Design of Phase I Cancer Trials |
Jay Bartroff and Tze Leung Lai
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Why Bayes…for statistics in general, and missing data in particular? |
Roderick Joseph Little
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Shrinkage Confidence Procedures |
George Casella, and J.T. Gene Hwang
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Make Research Data Public?—Not Always So Simple: A Dialogue for Statisticians and Science Editors |
Nell Sedransk, Linda J. Young, Katrina Kelner, Robert Moffitt, Ani Thakar, Jordan Raddick, Edward Ungvarsky, Richard W Carlson, Rolf Apweiler, Lawrence H. Cox, Deborah Nolan, Keith A. Soper, and Cliff Spiegelman
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Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects |
Kosuke Imai, Luke Keele, and Teppei Yamamoto
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Situation-Specific Inference using the Dempster-Shafer Theory |
Chuanhai Liu, Ryan Martin, and Jianchun Zhang
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Stein Estimation for Spherically Symmetric Distributions: Recent Developments |
William Edward Strawderman and Ann Cohen Brandwein
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A Conversation with David R. Brillinger |
Victor Michael Panaretos
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Particle Learning and Smoothing |
Carlos Marinho Carvalho, Michael S. Johannes, Hedibert Freitas Lopes, and Nicholas G. Polson
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The importance of scale for spatial-confounding bias and precision of spatial regression estimators |
Christopher Joseph Paciorek
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The random walk Metropolis: linking theory and practice through a case study |
Chris Sherlock, Paul Fearnhead, and Gareth Owen Roberts
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The Future of Indirect Evidence: Rejoinder |
Bradley Efron
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A family of generalized linear models for repeated measures with normal and conjugate random effects |
Geert Molenberghs, Geert Verbeke, Clarice GB Demetrio, and Afranio Vieira
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On the Sample Information about Parameter and Prediction |
Nader Ebrahimi, Ehsan S Soofi, and Refik Soyer
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To Explain or To Predict? |
Galit Shmueli
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Bayesian Models and Methods in Public Policy and Government Settings |
Stephen E Fienberg
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Continual Reassessment and Related Dose Finding Designs |
John O'Quigley
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Dose Finding with Escalation with Overdose Control (EWOC) in Cancer Clinical Trials |
Andre Rogatko and Mourad Tighiouart
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Stochastic Approximation and Modern Model-based Designs for Dose-Finding Clinical Trials |
Ken Cheung
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Connected Spatial Networks over Random Points and a Route-Length Statistic |
David Aldous and Julian Shun
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