TY - GEN
T1 - Towards the geometry of model sensitivity
T2 - an Illustration
AU - Anaya-Izquierdo, Karim
AU - Critchley, Frank
AU - Marriott, Paul
AU - Vos, Paul
PY - 2017
Y1 - 2017
N2 - In statistical practice model building, sensitivity and uncertainty are major concerns of the analyst. This paper looks at these issues from an information geometric point of view. Here, we define sensitivity to mean understanding how inference about a problem of interest changes with perturbations of the model. In particular it is an example of what we call computational information geometry. The embedding of simple models in much larger information geometric spaces is shown to illuminate these critically important issues.
AB - In statistical practice model building, sensitivity and uncertainty are major concerns of the analyst. This paper looks at these issues from an information geometric point of view. Here, we define sensitivity to mean understanding how inference about a problem of interest changes with perturbations of the model. In particular it is an example of what we call computational information geometry. The embedding of simple models in much larger information geometric spaces is shown to illuminate these critically important issues.
UR - http://dx.doi.org/10.1007/978-3-319-47058-0_2
U2 - 10.1007/978-3-319-47058-0_2
DO - 10.1007/978-3-319-47058-0_2
M3 - Chapter in a published conference proceeding
SN - 9783319470566
T3 - Signals and Communication Technology
SP - 33
EP - 62
BT - Computational Information Geometry
A2 - Nielsen, Frank
A2 - Dodson, Kit
A2 - Critchley, Frank
PB - Springer
ER -