Laboratoire de Probabilités, Statistique et Modélisation
In research, Laboratoire de Probabilités, Statistique et Modélisation stands highest in Physical Sciences (#8,723 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Mathematics — Mathematics is 27.6× its share of world research.
- World rank, 2022–2025
- #17,004 of 28,054 · #25,267 all time
- Rank in France
- #763 of 1,422
- Research works
- 234 ▲ 509% vs 2013–17
- Citations
- 1.9k 8.1 per fractional work
- Top-10% rate
- 13.0% record average 16.5%
- Open access
- 84% world 28%
What is Laboratoire de Probabilités, Statistique et Modélisation known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #8,723 of 12,888 | 14.1% | 65 | #13513 |
Each strip is that field’s whole ranked pool, with the notch where Laboratoire de Probabilités, Statistique et Modélisation sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does Laboratoire de Probabilités, Statistique et Modélisation specialise in?
Where its research is concentrated relative to its size: Mathematics takes 27.6× the share of its output that it takes of world research.
- MathematicsField · 28.5 works28×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Mathematics, 27.6×. Every wedge is a field page.
- Mathematics 27.6×
- Economics, Econometrics and Finance 5.3×
- Decision Sciences 4.6×
- Physics and Astronomy 4.4×
- Computer Science 2.5×
- Engineering 0.6×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Arts and Humanities 0.3×
- Environmental Science 0.3×
- Business, Management and Accounting 0.3×
- Materials Science 0.2×
- Health Professions 0.2×
- Chemistry 0.2×
- Earth and Planetary Sciences 0.2×
- Social Sciences 0.2×
- Agricultural and Biological Sciences 0.1×
- Medicine 0.1×
- Immunology and Microbiology 0.1×
- Psychology 0.1×
- Neuroscience 0.0×
Who are the top researchers at Laboratoire de Probabilités, Statistique et Modélisation?
Ranked on the composite score, Gérard Biau, Claire Boyer and Daniel Contreras lead among researchers whose main affiliation is Laboratoire de Probabilités, Statistique et Modélisation.
- 1 Gérard Biau France · #332,968 worldwide 146 citations · 25 works
- 2 Claire Boyer France · #899,282 worldwide 74 citations · 28 works
- 3 Daniel Contreras France · #1,361,168 worldwide 2 citations · 165 works
- 4 Titus Lupu France · #1,431,869 worldwide 15 citations · 17 works
- 5 Quentin Berger France · #1,626,280 worldwide 6 citations · 18 works
Which keywords describe research at Laboratoire de Probabilités, Statistique et Modélisation?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Monte Carlo Simulation, Model Selection, Option Pricing, Stochastic Calculus, Approximation Algorithms, Inverse Problems, Interacting Particle Systems and Scaling Limits.
- Random Matrix Theory
- Hyperspectral Imaging
- Random Walk Algorithm
- Principal Component Analysis
- Mixture Models
- Phase Transitions
- Fractal Dimension
- Regularization
- Variable Selection
- Lyapunov Exponents
- Convex Optimization
- Chaos
- High-Dimensional Data
- Neural Networks
- Bayesian Monte Carlo
- Dynamical Systems
- Inverse Problems
- Approximation Algorithms
- Option Pricing
- Deep Learning
- Monte Carlo Simulation
- Model Selection
- Stochastic Calculus
- Interacting Particle Systems
- Scaling Limits
- Machine Learning
- Markov Chain
- Ergodic Theory
- Bayesian Methods
- Clustering
- Fractals
- Bayesian Inference
- Lasso
- Variational Inference
- Hidden Markov Models
- Dirichlet Process
- Risk Management
- Critical Phenomena
- Eigenvalues
- Covariance Matrices
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Monte Carlo Simulation8▲ 46×3 topics
- Deep Learning8▲ 2.5×22 topics
- Model Selection7▲ 96×3 topics
- Option Pricing5▲ 247×1 topic
- Stochastic Calculus5▲ 247×1 topic
- Approximation Algorithms5▲ 82×3 topics
- Interacting Particle Systems5▲ 432×1 topic
- Inverse Problems5▲ 51×3 topics
- Scaling Limits5▲ 432×1 topic
- Dynamical Systems4▲ 78×3 topics
- Machine Learning4▲ 1.48×19 topics
- Bayesian Monte Carlo4▲ 540×1 topic
- Markov Chain4▲ 540×1 topic
- Neural Networks4▲ 2.8×13 topics
- Ergodic Theory4▲ 145×2 topics
- High-Dimensional Data4▲ 27×3 topics
- Bayesian Methods4▲ 80×2 topics
- Chaos4▲ 54×2 topics
- Clustering3▲ 39×3 topics
- Convex Optimization3▲ 48×5 topics
- Fractals3▲ 209×1 topic
- Lyapunov Exponents3▲ 209×1 topic
- Bayesian Inference3▲ 39×5 topics
- Variable Selection3▲ 36×2 topics
- Lasso3▲ 118×1 topic
- Regularization3▲ 118×1 topic
- Variational Inference3▲ 127×2 topics
- Fractal Dimension3▲ 81×2 topics
- Hidden Markov Models2▲ 48×2 topics
- Phase Transitions2▲ 49×2 topics
- Dirichlet Process2▲ 173×1 topic
- Mixture Models2▲ 146×1 topic
- Risk Management2▲ 5.7×3 topics
- Principal Component Analysis2▲ 18×3 topics
- Critical Phenomena2▲ 116×1 topic
- Random Walk Algorithm2▲ 116×1 topic
- Eigenvalues2▲ 82×2 topics
- Hyperspectral Imaging2▲ 6.9×3 topics
- Covariance Matrices2▲ 255×1 topic
- Random Matrix Theory2▲ 56×1 topic
Which research topics does Laboratoire de Probabilités, Statistique et Modélisation publish most on?
By volume in 2022–2025: Stochastic processes and financial applications, Stochastic processes and statistical mechanics, Markov Chains and Monte Carlo Methods and Mathematical Dynamics and Fractals.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Stochastic processes and financial applications Finance 5 works
- 2 Stochastic processes and statistical mechanics Mathematical Physics 5 works
- 3 Markov Chains and Monte Carlo Methods Statistics and Probability 4 works
- 4 Mathematical Dynamics and Fractals Mathematical Physics 3 works
- 5 Statistical Methods and Inference Statistics and Probability 3 works
- 6 Bayesian Methods and Mixture Models Artificial Intelligence 2 works
- 7 Theoretical and Computational Physics Condensed Matter Physics 2 works
- 8 Financial Risk and Volatility Modeling Finance 2 works
- 9 Random Matrices and Applications Statistics and Probability 2 works
- 10 Stochastic Gradient Optimization Techniques Artificial Intelligence 1 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Laboratoire de Probabilités, Statistique et Modélisation's research output changed?
Output in 2018–2022 was 509% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Paris
- Centre National de la Recherche Scientifique
- Inserm
- Sorbonne Université
- Université Paris Cité
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives
- Université Paris 1 Panthéon-Sorbonne
- Institut Pasteur
- Assistance Publique – Hôpitaux de Paris
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.