Projects per year

# Organization profile

### Organisation profile

The Centre for Mathematics and Algorithms for Data (MAD) at the University of Bath is an interdisciplinary group of researchers working at the intersection of Statistics, Machine Learning and Numerical Analysis with a huge range of application areas. Data Scientists use mathematics and computation to extract useful information from data. MAD aims to facilitate dialogue between groups, especially theorists in computer science and mathematics, and develop rigour in the field.

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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.

## Profiles

### Karim Anaya-Izquierdo

- Department of Mathematical Sciences - Lecturer
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Centre for Mathematical Biology
- Institute for Mathematical Innovation (IMI)
- Centre for Mathematics and Algorithms for Data (MAD)

Person: Academic

### Jonathan Bartlett

Person: Academic

### Neill Campbell

- Department of Computer Science - Reader
- Centre for the Analysis of Motion, Entertainment Research & Applications
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- CDT in Accountable, Responsible and Transparent Artificial Intelligence
- Centre for Autonomous Robotics (CENTAUR)
- Centre for Mathematics and Algorithms for Data (MAD)

Person: Academic

## Projects 2019 2020

- 1 Active

### Fuzzy cognitive mapping of large-scale brain networks

30/09/19 → 31/08/20

Project: Research-related funding

## Research Output 2005 2020

### Monotonic Gaussian Process Flow

Ustyuzhaninov, I., Kazlauskaite, I., Ek, C. H. & Campbell, N., 3 Jun 2020.Research output: Contribution to conference › Paper

6
Downloads
(Pure)

### Areal models for spatially coherent trend detection: the case of British peak river flows

Prosdocimi, I., Dupont, E., Augustin, N., Kjeldsen, T., Simpson, D. & Smith, T., 9 Nov 2019, In : Geophysical Research Letters.Research output: Contribution to journal › Article

Open Access

File

### Compositional Uncertainty in Deep Gaussian Processes

Ustyuzhaninov, I., Kazlauskaite, I., Kaiser, M., Bodin, E., Campbell, N. & Ek, C. H., 13 Dec 2019.Research output: Contribution to conference › Paper

File