Population Intervention Causal Effects Based on Stochastic Interventions
نویسندگان
چکیده
منابع مشابه
Population intervention causal effects based on stochastic interventions.
Estimating the causal effect of an intervention on a population typically involves defining parameters in a nonparametric structural equation model (Pearl, 2000, Causality: Models, Reasoning, and Inference) in which the treatment or exposure is deterministically assigned in a static or dynamic way. We define a new causal parameter that takes into account the fact that intervention policies can ...
متن کاملPopulation intervention models in causal inference.
We propose a new causal parameter, which is a natural extension of existing approaches to causal inference such as marginal structural models. Modelling approaches are proposed for the difference between a treatment-specific counterfactual population distribution and the actual population distribution of an outcome in the target population of interest. Relevant parameters describe the effect of...
متن کاملA Bayesian Rule for Adaptive Control based on Causal Interventions
Explaining adaptive behavior is a central problem in artificial intelligence research. Here we formalize adaptive agents as mixture distributions over sequences of inputs and outputs (I/O). Each distribution of the mixture constitutes a ‘possible world’, but the agent does not know which of the possible worlds it is actually facing. The problem is to adapt the I/O stream in a way that is compat...
متن کاملIntervention Learning of Local Causal Structure Based on Sensitivity Analysis
As intervened edges are difficult to be determined when intervention method is used for learning the causal relationships of probability model, an active learning method (Structural Intervention Learning of Sensitivity Analysis –SILSA Algorithm) is proposed. SILSA algorithm obtains original network structure based on k2 algorithm, then uses junction tree algorithm to decompose original networks...
متن کاملIntervention-Based Stochastic Disease Eradication
Disease control is of paramount importance in public health, with infectious disease extinction as the ultimate goal. Although diseases may go extinct due to random loss of effective contacts where the infection is transmitted to new susceptible individuals, the time to extinction in the absence of control may be prohibitively long. Intervention controls are typically defined on a deterministic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biometrics
سال: 2011
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2011.01685.x