MS-Mo-E-38
Minisymposium on Statistical Inference for Constrained Stochastic Dynamical Systems - Part II of II
For Part I, see MS-Mo-D-38

Date: August 10
Time: 16:00--18:00
Room: 302A

(Note: Click title to show the abstract.)

Organizer:
Rempala, Grzegorz (The Ohio State Univ.)
Kurtek, Sebastian (The Ohio State Univ.)

Abstract: With the advent of new data capturing technologies in imaging, genomics, and environmental science, the math modeling community is increasingly facing the challenging issues of proper statistical inference for constrained stochastic dynamical systems. Some typical problems are: models identifiability conditions, methods for combining noisy dynamic observations from multiple scales or technologies, robustness and dimension reduction, quantification of model uncertainty. Since many of the underlying problems cannot be solved analytically, the issues of computational algorithms and practical simulation based inference is also very relevant and requires some theoretical framework. The minisymposium will consist of 2 blocks of 4 presentations each.


MS-Mo-E-38-1
16:00--16:30
Piecewise approaches to estimating dynamical systems
Preston, Simon (Univ. of Nottingham)


MS-Mo-E-38-2
16:30--17:00
Asymptotic inference for tree-structured data
Bharath, Karthik (Univ. of Nottingham)


MS-Mo-E-38-3
17:00--17:30
Inference and experimental design for models of biochemical dynamics
Komorowski, Michal (Polish Acad. of Sci.)


MS-Mo-E-38-4
17:30--18:00
Stochastic Dynamics on Large Contact Networks
Rempala, Grzegorz (The Ohio State Univ.)

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Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA