Statistical Methods and Inference
Statistical Methods and Inference is a research topic within Statistics and Probability. Science Explorer counts 39k research works in it since 1950. 18.5% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on regularization and variable selection methods, particularly in the context of high-dimensional data analysis. It covers topics such as Lasso, model selection, sparse models, covariance estimation, survival analysis, random forests, and Bayesian methods.
- Regularization
- Variable Selection
- Lasso
- Model Selection
- High-Dimensional Data
- Sparse Models
- Covariance Estimation
- Survival Analysis
- Random Forests
- Bayesian Methods
- Research works
- 39k fractional, since 1950
- In the world top 10%
- 7.2k per year above
- Top-10% rate
- 18.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +9% the tick is no change
Which countries lead Statistical Methods and Inference research?
By volume, the United States and China publish the most (1.9k and 1k works in 2022–2025).
By volume, 2022–2025
- 1 United States 1.9k works
- 2 China 1k works
- 3 France 269 works
- 4 United Kingdom 268 works
- 5 Canada 255 works
- 6 Germany 239 works
- 7 Italy 207 works
- 8 Japan 184 works
- 9 India 171 works
- 10 South Korea 122 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Statistical Methods and Inference research?
By volume in 2022–2025, University of North Carolina at Chapel Hill publishes the most Statistical Methods and Inference research, followed by University of Michigan and Stanford University.
By volume, 2022–2025
- 1 University of North Carolina at Chapel HillUnited States 55 works
- 2 University of MichiganUnited States 41 works
- 3 Stanford UniversityUnited States 39 works
- 4 University of PennsylvaniaUnited States 38 works
- 5 Renmin University of ChinaChina 35 works
- 6 Harvard UniversityUnited States 35 works
- 7 Columbia UniversityUnited States 31 works
- 8 University of California, BerkeleyUnited States 29 works
- 9 University of Wisconsin–MadisonUnited States 28 works
- 10 Duke UniversityUnited States 25 works
Who are the leading researchers in Statistical Methods and Inference?
The most-cited researchers publishing on Statistical Methods and Inference include Yoshua Bengio, Peter M. Bentler and Robert Tibshirani.
- 1 Yoshua Bengio Canada 17k citations
- 2 Peter M. Bentler United States 16k citations
- 3 Robert Tibshirani United States 13k citations
- 4 Jerome H. Friedman United States 11k citations
- 5 H. Vincent Poor United States 9.5k citations
- 6 M. Hashem Pesaran United States 9.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Statistical Methods and Inference research done?
The largest centres of Statistical Methods and Inference research in 2022–2025 are Beijing (China), Shanghai (China), London (United Kingdom) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Storrs, Palaiseau and Raleigh.
Largest cities, 2022–2025
Where it is the local speciality
- StorrsUS · 20.7 works9.2×
- PalaiseauFR · 24.0 works8.8×
- RaleighUS · 25.6 works6.5×
Location quotient: how much more of its research is in Statistical Methods and Inference than the world average.
Where is the best place to study Statistical Methods and Inference?
Among universities, judged by research, Université de Technologie de Compiègne, Carnegie Mellon University and Renmin University of China score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Université de Technologie de CompiègneFrance | 65.1 | 63.2% | 62.0× | 12 | -42.3% |
| 2 | Carnegie Mellon UniversityUnited States | 60.6 | 34.1% | 9.9× | 24 | +29.1% |
| 3 | Renmin University of ChinaChina | 57.0 | 13.7% | 17.8× | 36 | +77.0% |
| 4 | Stanford UniversityUnited States | 50.6 | 27.7% | 5.4× | 39 | +32.8% |
| 5 | Harvard UniversityUnited States | 50.3 | 29.8% | 4.7× | 35 | +27.5% |
| 6 | University of PennsylvaniaUnited States | 49.4 | 18.4% | 7.0× | 38 | +27.3% |
| 7 | University of WaterlooCanada | 47.9 | 11.7% | 7.4× | 25 | +82.1% |
| 8 | University of ConnecticutUnited States | 47.6 | 13.1% | 9.4× | 21 | +45.2% |
| 9 | Columbia UniversityUnited States | 47.1 | 21.5% | 6.2× | 30 | +24.2% |
| 10 | University of MichiganUnited States | 46.6 | 26.8% | 5.1× | 41 | -9.4% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Statistical Methods and Inference research growing?
Output in 2018–2022 was 9% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Statistical Methods and Inference.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.