# Faculty Research

**Current research by members of the Boston University Probability and Statistics group includes work in the following areas: **

- Time series analysis (spectral, multiscale, long-memory)
- Multiscale methods (wavelets, adaptive partitioning)
- Non-parametric and semi-parametric estimation
- Statistical learning theory (neural networks, complexity)
- Network analysis (internet, biological networks, etc.)
- Functional Data Analysis (remote Sensing Data)
- Mixture Models and analysis of high-dimensional Data
- Bayesian Statistics
- Stochastic simulation and optimization

**Much of the above research is done in conjunction with various inter-disciplinary applications, including:**

**Biomedical Statistics**(Dâ€™Agostino)- Longitudinal analysis of cardiovascular data
- Genetic factors in cardiovascular disease
- Physician practice patterns for hypertensive & diabetic patients

**Computational Biology**(Carvalho,- Gene Networks
- Protein Classification and Cancer immunotherapy
- Analysis of Flow Cytometry Data

**Image Processing and Geo-spatial analysis**(Kolaczyk, Ray)- Image classification, deconvolution, and segmentation
- Remote sensing image analysis
- Analysis of Climate Ecosystem Dynamics
- Modes of Variations of Vegetation Indices

**Analysis of Neural Data**(Eden)- Point process models of neural spike train data
- Filtering, smoothing, and prediction from spike

**Computer Network Traffic Data**(Taqqu, Kolaczyk)- Scaling properties
- Traffic characterization and anomaly detection

**Actuarial Science**(Gangophadyay, Lam)- Credibility theory
- Risk Analysis

**Mathematical Finance**(Guasoni, Kardaras)