# Research Seminar Series

### Applied Mathematics Seminars

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

The use of mathematical models in the sciences often require the estimation of unknown parameter values from data. Sloppiness provides information about the uncertainty of this task. We develop a precise mathematical foundation for sloppiness and define rigorously its key concepts, such as `model manifold' in relation to concepts of structural identifiability. We redefine sloppiness conceptually as a comparison between the premetric on parameter space induced by measurement noise and a reference metric on parameter space. This opens up the possibility of alternative quantification of sloppiness beyond the traditional use of the Fisher Information Matrix, which implicitly assumes infinitesimal measurement error and an Euclidean parameter space. We illustrate the various concepts involved in the proper definition of sloppiness with examples of ordinary differential equation models with time series data arising in mathematical biology.

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Arithmetic Study Group

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

The use of mathematical models in the sciences often require the estimation of unknown parameter values from data. Sloppiness provides information about the uncertainty of this task. We develop a precise mathematical foundation for sloppiness and define rigorously its key concepts, such as `model manifold' in relation to concepts of structural identifiability. We redefine sloppiness conceptually as a comparison between the premetric on parameter space induced by measurement noise and a reference metric on parameter space. This opens up the possibility of alternative quantification of sloppiness beyond the traditional use of the Fisher Information Matrix, which implicitly assumes infinitesimal measurement error and an Euclidean parameter space. We illustrate the various concepts involved in the proper definition of sloppiness with examples of ordinary differential equation models with time series data arising in mathematical biology.

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Centre for Particle Theory Colloquia

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

The use of mathematical models in the sciences often require the estimation of unknown parameter values from data. Sloppiness provides information about the uncertainty of this task. We develop a precise mathematical foundation for sloppiness and define rigorously its key concepts, such as `model manifold' in relation to concepts of structural identifiability. We redefine sloppiness conceptually as a comparison between the premetric on parameter space induced by measurement noise and a reference metric on parameter space. This opens up the possibility of alternative quantification of sloppiness beyond the traditional use of the Fisher Information Matrix, which implicitly assumes infinitesimal measurement error and an Euclidean parameter space. We illustrate the various concepts involved in the proper definition of sloppiness with examples of ordinary differential equation models with time series data arising in mathematical biology.

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Computing Seminars/Talks

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### CPT Student Seminar

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Departmental Research Colloquium

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Distinguished Lectures and Public Lectures

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Geometry and Topology Seminar

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Informal HEP Journal club

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Maths HEP Lunchtime Seminars

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Pure Maths Colloquium

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Statistics Seminars

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

### Stats4Grads

## Statistics Seminars: The Geometry of Sloppiness

16 October 2017 14:00 in CM221

(joint with Heather Harrington and Dhruva Raman)

Contact sunil.chhita@durham.ac.uk for more information

Information about seminars for the current academic year. For information on previous years' seminars please see the seminar archives pages.