| Laplace’s theories of cognitive illusions, heuristics, and biases |
Andrew Gelman and Joshua Miller
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| Matching Methods for Observational Studies Derived from Large Administrative Databases |
Ruoqi Yu, Jeffrey H Silber, and Paul R Rosenbaum
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| Sparse regression: Scalable algorithms and empirical performance |
Dimitris Bertsimas, Jean Pauphilet, and Bart Van Parys
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| Convex Relaxation Methods for Community Detection |
Xiaodong Li, Yudong Chen, and Jiaming Xu
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| Fano’s inequality for random variables |
Sebastien Gerchinovitz, Pierre Menard, and Gilles Stoltz
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| Equitability, Interval Estimation, and Statistical Power |
Yakir Reshef, David Reshef, Pardis Sabeti, and Michael Mitzenmacher
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| Linear mixed models under endogeneity: modeling sequential treatment effects with application to a mobile health study |
Tianchen Qian, Predrag Klasnja, and Susan A. Murphy
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| Invariance, Causality and Robustness |
Peter Bühlmann
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| LGM split sampler: An efficient MCMC sampling scheme for latent Gaussian models |
Óli Páll Geirsson, Birgir Hrafnkelsson, Daniel Simpson, and Helgi Sigurdarson
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| Outcome-wide longitudinal designs for causal inference: a new template for empirical studies |
Tyler J VanderWeele, Maya B Mathur, and Ying Chen
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| Checking for prior-data conflict using prior-to-posterior divergences |
David John Nott, Xueou Wang, Michael Evans, and Berthold-Georg Englert
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| A Generalized Approach to Power Analysis for Local Average Treatment Effects |
Kirk Bansak
|
| Best Subset, Forward Stepwise, or Lasso? Analysis and Recommendations Based on Extensive Comparisons |
Trevor hastie, Robert Tibshirani, and Ryan Tibshirani
|
| A Conversation with Grace Wahba |
Douglas Nychka, Ping Ma, and Douglas Bates
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| A nonparametric super-efficient estimator of the average treatment effect |
David Benkeser, Wilson Cai, and Mark J van der Laan
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| Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing |
Chao Gao and Zongming Ma
|
| On the probability that two random integers are coprime |
Jing Lei and Joseph B. Kadane
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| Computational considerations when matching in large samples |
Fredrik Sävje
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| Comment |
Mark M Fredrickson, Josh Errickson, and Ben B Hansen
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| Commentary on Yu et al.: Opportunities and Challenges for Matching Methods in Large Databases |
Elizabeth A Stuart and Benjamin Ackerman
|
| Comparative Study of Differentially Private Data Synthesis Methods |
Claire McKay Bowen and Fang Liu
|
| Exponential-Family Models of Random Graphs: Inference in Finite-, Super-, and Infinite-Population Scenarios |
Michael Schweinberger, Pavel N. Krivitsky, Carter T. Butts, and Jonathan Stewart
|
| Bipartite Causal Inference with Interference |
Corwin M Zigler and Georgia Papadogeorgou
|
| Laplace and Cognitive Illusions |
Daniel Kahneman and Maya Bar-Hillel
|
| Comment: Illusions, Then and Now |
Glenn Shafer
|
| A general framework for Vecchia approximations of Gaussian processes |
Matthias Katzfuss and Joseph Guinness
|
| Additive and multiplicative effects network models |
Peter Hoff
|
| A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery |
Jian Huang, Yuling Jiao, Bangti Jin, Jin Liu, Xiliang Lu, and Can Yang
|
| A statistical framework for modern network science |
Harry Crane and Walter Dempsey
|
| A Conversation with Francisco J. Samaniego |
George Gregory Roussas and Debasis Bhattacharya
|
| Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss, and Simpson’s Paradox |
Ruobin Gong and Xiao-Li Meng
|
| A Conversation with J. Stuart (Stu) Hunter |
Richard D. De Veaux
|
| On general notions of depth for regression |
Yijun Zuo
|
| Comment on: Invariance, Causality and Robustness by P.Buhlmann |
Vanessa Didelez
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| Discussion of ‘Outcome-wide longitudinal designs for causal inference’ |
Stijn Vansteelandt
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| Comment on “A nonparametric super-efficient estimator of the average treatment effect” by Benkeser, Cai, and van der Laan |
Mireille E Schnitzer
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| Outcome-wide individualized treatment strategies |
Ashkan Ertefaie and Brent A Johnson
|
| Invariance and Causal Inference: Comment on a Paper by Buhlmann |
Stefan Wager
|
| Automated analyses: Because we can, does it mean we should? |
Susan M Shortreed and Erica E.M. Moodie
|
| Comment: A nonparametric super-efficient estimator of the average treatment effect |
Fan Li
|
| A Conversation with Tze Leung Lai |
Zhiliang Ying, Dylan S. Small, and Ying Lu
|
| A new template for empirical studies: from positivity to Positivity |
Rhian Mair Daniel
|
| Clarifying endogeneous data structures and consequent modelling choices using causal graphs |
Erica E M Moodie and David A Stephens
|
| The Box-Cox Transformation: Review and Extensions |
Anthony C Atkinson, Marco Riani, and Aldo Corbellini
|
| Rejoinder to discussion of Laplace’s theories of cognitive illusions, heuristics, and biases |
Joshua Miller and Andrew Gelman
|
| Non-commutative Probability and Multiplicative Cascades |
Ian Wray McKeague
|
| Discussion of “Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study” |
Kristin A Linn
|
| Comment |
Hunyong Cho, Joshua Paul Zitovsky, Xinyi Li, Minxin Lu, Kushal Shah, John Sperger, Matthew C. B. Tsilimigras, and Michael Rene Kosorok
|
| A selective overview of deep learning |
Jianqing Fan, Cong Ma, and Yiqiao Zhong
|
| Stochastic Approximation: from Statistical Origin to Big-Data, Multidisciplinary Applications |
Tze Leung Lai and Hongsong Yuan
|
| Robust high dimensional factor models with applications to statistical machine learning |
Jianqing Fan, Kaizheng Wang, Yiqiao Zhong, and Ziwei Zhu
|
| On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning |
Lin Liu, Rajarshi Mukherjee, and James Matthew Robins
|