Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
and cerebrovascular pathologies in mouse models of Alzheimer’s Disease Nikola Surjanovic Doctor of Philosophy in Statistics (PhD) Scalable Bayesian Methods for Sampling From Complex Probability
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 17 days ago
, and systems engineering. The advancement and application of techniques such as Systems-Theoretic Process Analysis (STPA), structured expert elicitation, and Bayesian Networks (BNs) are foreseen, and
-
and implementing appropriate empirical strategies for causal inference, particularly in econometric analyses. Assist in designing new econometric models or adapting existing ones to address evolving
-
exposure variables, model assumption verification), and may expand to include g-methods for causal inference (such as inverse probability weighting for marginal structural models). The Statistical Analyst