Mark Huber
Mark Huber publishes mostly in Statistics and Probability, Mathematical Physics and Artificial Intelligence, on topics such as Markov Chains and Monte Carlo Methods, Stochastic processes and statistical mechanics and Bayesian Methods and Mixture Models.
- World rank
- #131,485 of 1,633,909 ranked researchers
- Rank in United States
- #55,997 of 358,040
- Works
- 26
- Citations
- 343
- Citations per work
- 13.2
What does Mark Huber research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Statistics and Probability35% of their works
- 2Mathematical Physics15% of their works
- 3Artificial Intelligence15% of their works
- 4Applied Mathematics5% of their works
- 5Statistical and Nonlinear Physics5% of their works
- 6Discrete Mathematics and Combinatorics2% of their works
Research topics
Which keywords describe Mark Huber's research?
The keywords of their largest research topics: Bayesian Monte Carlo, Markov Chain, Interacting Particle Systems, Scaling Limits, Bayesian Inference, Variational Inference, Clustering and Mixture Models.
- Structure
- Semi-Supervised Learning
- Procedural Content Generation
- Monte Carlo Tree Search
- Spatstat
- Machine Learning
- Mixture Models
- Variational Inference
- Scaling Limits
- Markov Chain
- Bayesian Monte Carlo
- Interacting Particle Systems
- Bayesian Inference
- Clustering
- Gaussian Processes
- Point Processes
- Active Learning
- Probabilistic Models
- Protein
- Sparse Regression
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 20 words, with their numbers
- Bayesian Monte Carlo101 topic
- Markov Chain101 topic
- Interacting Particle Systems61 topic
- Scaling Limits61 topic
- Bayesian Inference42 topics
- Variational Inference42 topics
- Clustering31 topic
- Mixture Models31 topic
- Gaussian Processes22 topics
- Machine Learning22 topics
- Point Processes21 topic
- Spatstat21 topic
- Active Learning11 topic
- Monte Carlo Tree Search11 topic
- Probabilistic Models11 topic
- Procedural Content Generation11 topic
- Protein11 topic
- Semi-Supervised Learning11 topic
- Sparse Regression11 topic
- Structure11 topic
Where does Mark Huber work?
Mark Huber's main affiliation in the publication record is Claremont McKenna College, United States.
How many publications and citations does Mark Huber have?
Science Explorer counts 26 works and 343 citations for Mark Huber, ranking #131,485 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.