Birs- 18w5144: Mathematical and Statistical Challenges in Bridging Model Development, Parameter Identification and Model Selection in the Biological Sciences
-
Title: Scalable algorithms for Markov process parameter inference
Speaker:
Link:
-
Title: From parameter and uncertainty estimation to optimal experimental design: challenges in biological dynamical systems inference
Speaker:
Link:
-
Title: Building models that encode both the known and the unknown
Speaker:
Link:
-
Title: Challenges in ion channel model calibration, selection and discrepancy
Speaker:
Link:
-
Title: Hybrid modeling and parameter inference reveals branching constraints for kidney morphogenesis
Speaker:
Link:
-
Title: A Bayesian sequential learning framework to parametrise a model of melanoma invasion into human skin
Speaker:
Link:
-
Title: Spatial moment models for collective cell behaviour
Speaker:
Link:
-
Title: Emulation-based methods for parameterizing spatial infectious disease models
Speaker:
Link:
-
Title: Variational inference for stochastic differential equations
Speaker:
Link:
-
Title: Testing for statistical parameter identifiability
Speaker:
Link:
-
Title: Bayesian computational biology
Speaker:
Link:
-
Title: Multifidelity approaches to approximate Bayesian computation
Speaker:
Link:
-
Title: Computationally efficient parameter estimation for gene regulatory networks
Speaker:
Link:
-
Title: Transport map-accelerated adaptive importance sampling for inverse problems of multiscale stochastic chemical networks
Speaker:
Link:
-
Title: Stochastic vs. deterministic modeling in bio-science
Speaker:
Link:
-
Title: Bridging between statistics and science: Some philosophical claptrap
Speaker:
Link:
-
Title: Study design and parameter estimability for spatial and temporal ecological models using data cloning
Speaker:
Link:
-
Title: Forward-in-time phylodynamics via sequential Monte Carlo
Speaker:
Link:
-
Title: Identifying individual disease dynamics in a stochastic multi-pathogen model from aggregated reports and laboratory data
Speaker:
Link:
-
Title: Sequential Monte Carlo approaches for inference in dynamical systems: application to spatio-temporal models of ocean biogeochemistry
Speaker:
Link: