| Laplace’s theories of cognitive illusions, heuristics, and biases |
Andrew Gelman and Joshua Miller
|
| Matching Methods for Observational Studies Derived from Large Administrative Databases |
Ruoqi Yu, Jeffrey H Silber, and Paul R Rosenbaum
|
| Sparse regression: Scalable algorithms and empirical performance |
Dimitris Bertsimas, Jean Pauphilet, and Bart Van Parys
|
| Model-based approach to the joint analysis of single-cell data on chromatin accessibility and gene expression |
Zhixiang Lin, Mahdi Zamanighomi, Timothy Daley, Shining Ma, and Wing Hung Wong
|
| Convex Relaxation Methods for Community Detection |
Xiaodong Li, Yudong Chen, and Jiaming Xu
|
| Fano’s inequality for random variables |
Sebastien Gerchinovitz, Pierre Menard, and Gilles Stoltz
|
| Equitability, Interval Estimation, and Statistical Power |
Yakir Reshef, David Reshef, Pardis Sabeti, and Michael Mitzenmacher
|
| Linear mixed models under endogeneity: modeling sequential treatment effects with application to a mobile health study |
Tianchen Qian, Predrag Klasnja, and Susan A. Murphy
|
| Invariance, Causality and Robustness |
Peter Bühlmann
|
| LGM split sampler: An efficient MCMC sampling scheme for latent Gaussian models |
Óli Páll Geirsson, Birgir Hrafnkelsson, Daniel Simpson, and Helgi Sigurdarson
|
| Outcome-wide longitudinal designs for causal inference: a new template for empirical studies |
Tyler J VanderWeele, Maya B Mathur, and Ying Chen
|
| Risk models for breast cancer and their validation |
Adam Robert Brentnall and Jack Cuzick
|
| Some Statistical Issues in Climate Science |
Michael Stein
|
| Checking for prior-data conflict using prior-to-posterior divergences |
David John Nott, Xueou Wang, Michael Evans, and Berthold-Georg Englert
|
| 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
|
| A nonparametric super-efficient estimator of the average treatment effect |
David Benkeser, Wilson Cai, and Mark J van der Laan
|
| 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
|
| A Tale of Two Parasites: statistical modelling to support disease control programmes in Africa |
Peter John Diggle, Emanuele Giorgi, Julienne Atsame, Sylvie Ntsama Ella, Kisito Ogoussan, and Katherine Gass
|
| Computational considerations when matching in large samples |
Fredrik Sävje
|
| Comment |
Mark M Fredrickson, Josh Errickson, and Ben B Hansen
|
| 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
|
| Quantum Science and Quantum Technology |
Yazhen Wang
|
| 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
|
| Statistical Methodology in Single-Molecule Experiments |
Chao Du and Samuel Kou
|
| Statistical Molecule Counting in Super-Resolution Fluorescence Microscopy: Towards Quantitative Nanoscopy |
Thomas Staudt, Timo Aspelmeier, Oskar Laitenberger, Claudia Geisler, Alexander Egner, and Axel Munk
|
| 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
|
| Data Denoising and Post-denoising Corrections in Single Cell RNA Sequencing |
Divyansh Agarwal, Jingshu Wang, and Nancy Ruonan Zhang
|
| Statistical inference for the evolutionary history of cancer genomes |
Khanh Dinh, Roman Jaksik, Marek Kimmel, Amaury Lambert, and Simon Tavaré
|
| Maximum independent component analysis with application to EEG data |
Ruosi Guo, Chunming Zhang, and Zhengjun Zhang
|
| 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
|
| Discussion of ‘Outcome-wide longitudinal designs for causal inference’ |
Stijn Vansteelandt
|
| Comment on “A nonparametric super-efficient estimator of the average treatment effect” by Benkeser, Cai, and van der Laan |
Mireille E Schnitzer
|
| 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
|