Advanced Statistical Methods and Models
Advanced Statistical Methods and Models is a research topic within Statistics and Probability. Science Explorer counts 39k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the detection, impact, and handling of multicollinearity in regression analysis. It discusses methods for identifying outliers, robust estimation techniques, variance inflation factors, and the use of depth functions in analyzing data. The cluster also explores the relative importance of predictors, principal component analysis, and the application of these concepts to functional data.
- Multicollinearity
- Regression Analysis
- Outlier Detection
- Robust Estimation
- Variance Inflation Factor
- Principal Component Analysis
- Relative Importance
- Depth Functions
- Robust Statistics
- Functional Data
- Research works
- 39k fractional, since 1950
- In the world top 10%
- 3.9k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- 0% the tick is no change
- Largest producer
United States
32% of the 10 largest, 2022-now
Which countries lead Advanced Statistical Methods and Models research?
By volume, the United States and China publish the most (909 and 652 works in 2022-now).
By volume, 2022-now
- 1
United States 909 works
- 2
China 652 works
- 3
India 294 works
- 4
Germany 173 works
- 5
Italy 157 works
- 6
Türkiye 151 works
- 7
United Kingdom 139 works
- 8
Canada 138 works
- 9
Japan 135 works
- 10
France 117 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 Advanced Statistical Methods and Models research?
By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Advanced Statistical Methods and Models research, followed by Sapienza University of Rome and University of North Carolina at Chapel Hill.
By volume, 2022-now
- 1
Centre National de la Recherche Scientifique
France 37 works
- 2
Sapienza University of Rome
Italy 26 works
- 3
University of North Carolina at Chapel Hill
United States 24 works
- 4
King Mongkut's University of Technology North Bangkok
Thailand 24 works
- 5
Sepuluh Nopember Institute of Technology
Indonesia 23 works
- 6
Russian Academy of Sciences
Russia 22 works
- 7
University of Mosul
Iraq 19 works
- 8
Indian Statistical Institute
India 18 works
- 9
Cairo University
Egypt 18 works
- 10
Chinese Academy of Sciences
China 15 works
Who are the leading researchers in Advanced Statistical Methods and Models?
The most-cited researchers publishing on Advanced Statistical Methods and Models include Douglas G. Altman, Yoshua Bengio and Robert John Tibshirani.
- 1
Douglas G. Altman
United Kingdom 862k citations
- 2
Yoshua Bengio
Canada 476k citations
- 3
Robert John Tibshirani
United States 396k citations
- 4
Ronald C. Kessler
United States 360k citations
- 5
Donald B. Rubin
United States 301k citations
- 6
Trevor Hastie
United States 301k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Statistical Methods and Models research done?
The largest centres of Advanced Statistical Methods and Models research in 2022-now are Beijing (China), Tokyo (Japan), Shanghai (China) and Seoul (South Korea).
Where is the best place to study Advanced Statistical Methods and Models?
Among universities, judged by research, Sapienza University of Rome, Florida International University and King Mongkut's University of Technology North Bangkok 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 first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Advanced Statistical Methods and Models, country by countryIs Advanced Statistical Methods and Models research growing?
Output in 2022-2025 was 0% lower than in 2018-2021, peaking in 2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Advanced Statistical Methods and Models as a percentage of every work published that year, 0.021% in 2024.
Fractional works of Advanced Statistical Methods and Models over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
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