What are the Most Important Statistical Ideas of the Past 50 Years?
From MaRDI portal
Publication:5881991
DOI10.1080/01621459.2021.1938081zbMath1506.62003arXiv2012.00174OpenAlexW3172185524MaRDI QIDQ5881991
Publication date: 14 March 2023
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2012.00174
Research exposition (monographs, survey articles) pertaining to statistics (62-02) History of statistics (62-03)
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Cites Work
- Greedy function approximation: A gradient boosting machine.
- Longitudinal data analysis using generalized linear models
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Stability
- Approximate Bayesian computational methods
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Bayesian nonparametric inference -- why and how
- Parallel coordinates for exploratory modelling analysis
- Statistical analysis of network data. Methods and models
- Statistical decision theory and Bayesian analysis. 2nd ed
- The role of exchangeability in inference
- Nonparametric maximum likelihood estimation by the method of sieves
- Causation, prediction, and search
- Polya trees and random distributions
- Some aspects of Pólya tree distributions for statistical modelling
- Bootstrap methods: another look at the jackknife
- Convergence rate of sieve estimates
- The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
- A decision-theoretic generalization of on-line learning and an application to boosting
- Bayesian model averaging: A tutorial. (with comments and a rejoinder).
- Statistical modeling: The two cultures. (With comments and a rejoinder).
- Learning Bayesian networks: The combination of knowledge and statistical data
- Support-vector networks
- Bayesian learning for neural networks
- An introduction to variational methods for graphical models
- The importance of being clustered: uncluttering the trends of statistics from 1970 to 2015
- Some results on Tchebycheffian spline functions and stochastic processes
- A Bayesian analysis of some nonparametric problems
- ggplot2
- Post-Stratification: A Modeler's Perspective
- Computer Age Statistical Inference
- The Future of Data Analysis
- Multiple-Bias Modelling for Analysis of Observational Data
- Sampling-Based Approaches to Calculating Marginal Densities
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- The horseshoe estimator for sparse signals
- The central role of the propensity score in observational studies for causal effects
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Empirical likelihood ratio confidence intervals for a single functional
- Sampling and Bayes' Inference in Scientific Modelling and Robustness
- Linear Recursive Equations, Covariance Selection, and Path Analysis
- THE BAYES METHODS FOR SEEKING THE EXTREMAL POINT
- A completely automatic french curve: fitting spline functions by cross validation
- The Predictive Sample Reuse Method with Applications
- A Simulation Study of Alternatives to Ordinary Least Squares
- Identification and Estimation of Local Average Treatment Effects
- Ideal spatial adaptation by wavelet shrinkage
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- The Seven Pillars of Statistical Wisdom
- 10.1162/jmlr.2003.3.4-5.993
- A Theory of Statistical Models for Monte Carlo Integration
- A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*
- De-noising by soft-thresholding
- Double/debiased machine learning for treatment and structural parameters
- CAUSAL ANALYSIS AFTER HAAVELMO
- Definitions, methods, and applications in interpretable machine learning
- The Estimation of Environmental and Genetic Trends from Records Subject to Culling
- Nonlinear Dimensionality Reduction
- Soft and hard classification by reproducing kernel Hilbert space methods
- A Fast Learning Algorithm for Deep Belief Nets
- The Empirical Bayes Approach to Statistical Decision Problems
- Nonparametric Roughness Penalties for Probability Densities
- Limiting the Risk of Bayes and Empirical Bayes Estimators--Part I: The Bayes Case
- Limiting the Risk of Bayes and Empirical Bayes Estimators--Part II: The Empirical Bayes Case
- ESTIMATING MULTIPLE REGRESSIONS IN m GROUPS: A CROSS‐VALIDATION STUDY
- Robust Estimates of Location: Survey and Advances
- The 1972 Wald Lecture Robust Statistics: A Review
- Some Comments on C P
- ON THE z-TEST IN RANDOMIZED BLOCKS AND LATIN SQUARES
- Statistical Decision Functions
- Problems in Plane Sampling
- The Statistical Implications of a System of Simultaneous Equations
- Compressed sensing
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