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Statistical Inference Lab
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The lab sharpens statistical inference for high-dimensional statistical models represented by graphs and networks.
AboutAbout the lab
High-dimensional statistical models, grounded in theory.
The Statistical Inference Lab is run by Professor Hisayuki Hara of the Data Science Innovation Education and Research Center, Institute for Liberal Arts and Sciences, who holds a concurrent appointment as a professor in the Graduate School of Informatics.
His areas of expertise are multivariate inferential statistics, computational algebraic statistics, and Bayesian statistics.
Key terms
- Graphical model
- A statistical model that represents relationships among variables as a graph (nodes and edges)
- Statistical causal model
- A statistical model that represents cause-and-effect relationships in order to estimate causal effects
- Bayesian statistics
- A branch of statistics that updates estimates based on probability as data are obtained
ResearchResearch themes
The lab studies the theory of statistical inference for high-dimensional statistical models defined by graphs or networks.
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MembersFaculty
- Concurrent ProfessorHisayuki Hara
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Combinational Circuit as Directed Acyclic Graph” HouboHe / CC BY-SA 4.0 (cropped)
- Inference and Algorithms for High-Dimensional Statistical Models: “Social Network Analysis Visualization” Martin Grandjean / CC BY-SA 3.0 (cropped)
- Related lab (Medical and Health Data Science Lab): “Medical technician using ultrasound equipment in a clinical setting” Shixart1985 / CC BY 2.0 (cropped)
- Related lab (Large-Scale Data Utilization Infrastructure Lab): “Groß und klein” Friedrich Haag / CC BY-SA 4.0 (cropped)
- Related lab (Computational Neuroscience Lab (Collaborative Unit)): “Nyt-Cajal DRAWING m1673-resized-for-web” Santiago Ramón y Cajal / Public domain (cropped)
- Related lab (Cognitive Informatics Lab): “Human eye iris 1” Kamil Saitov / CC BY 4.0 (cropped)
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