Quantitative easing encourages spending and investment—helping us achieve our inflation target by stabilizing the economy. The Bank of Canada adjusts the policy interest rate to influence economic ...

Our comparative analysis of prognosis will be based ... public sector child and adolescent psychiatric outpatient clinics for causal modelling, enabling empirical investigation of research questions ...

Related Links: Professor Levy’s Harvard faculty page | Research | Harvard Kennedy School Public Leadership ... I think of three types of uses of data to inform decisions: descriptive, causal, and ...

The directive also suspended the grant review panels that determine which research projects receive funding. As a result of these disruptions, NIH staff has reported being unable to meet with ...

Abstract: The causal structure learning for streaming features (CSLSFs) faces the following challenges: 1) the precision of learned causal structures is limited due to the score-based learning method ...

cVeterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center, Veterans Affairs Connecticut ... USA kHealth Data and Informatics Program, Center for Quantitative Life Sciences, ...

Having this in mind, we proposed a large-Scale multi-objective optimization framework named Causal Inference Based Competitive Swarm Optimizer (CI-CSO). Specifically, a causal information (CI) based ...

The MA Comparative Literature is an opportunity to study literature ... The supervised dissertation research requires the ability to work independently on an original piece of research, to demonstrate ...

UCL is home to an exceptional range of modern and ancient languages. We actively support interdisciplinary research across languages and cultural periods, and welcome comparative projects that may ...

Quantitative analysis is a branch of financial analysis that focuses on using data and mathematical techniques to inform investment decisions. Harry Markowitz pioneered modern quantitative ...